lichen_plot_metrics.ipynb

Plot_metrics.ipynb

{
  "cells": [
    {
      "metadata": {},
      "id": "0be8a76a",
      "cell_type": "markdown",
      "source": "## Imports and some function definitions"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:31.545452Z",
          "end_time": "2021-09-29T12:08:34.049151Z"
        },
        "trusted": true
      },
      "id": "07f8cd1b",
      "cell_type": "code",
      "source": "import geopandas as gpd\nimport pandas as pd\nimport os\nfrom pathlib import Path\nfrom shapely.geometry import Polygon, Point\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\nsns.set_theme(style=\"darkgrid\")\n\nDATA_PATH = Path('../tree_patches/')\n\nfrom tqdm import tqdm\ntqdm.pandas()",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "f929b1f2",
      "cell_type": "markdown",
      "source": "A lot of functions for feature engineering.\n\nNote from Shapely docs: Area of buffer is approximately 99.8% of the true circle radius, pi * r**2 * 0.998"
    },
    {
      "metadata": {},
      "id": "ee5213be",
      "cell_type": "markdown",
      "source": "First simple, like number of tree(top)s and total canopy area in circular radius"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:35.263169Z",
          "end_time": "2021-09-29T12:08:35.268162Z"
        },
        "code_folding": [],
        "trusted": true
      },
      "id": "58f16b84",
      "cell_type": "code",
      "source": "def calc_num_trees(filename, geometry, radius=10):\n    # count the number of treetops within radius from measured treetop\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    ttops = ttops[ttops.geometry.within(tree_point)]\n    return(len(ttops))\n    \ndef calc_canopy_area(filename, geometry, radius=10):\n    # Calculate total canopy area for delineated canopies within radius from measured treetop\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    crowns = gpd.read_file(DATA_PATH/f'canopies/{filename}.geojson')\n    if crowns.crs != tree_point.crs: crowns.crs = tree_point.crs\n    crowns = gpd.overlay(crowns, tree_point, how='intersection')\n    area = 0\n    for c in crowns.itertuples():\n        area += c.geometry.area\n    return area",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "0a397079",
      "cell_type": "markdown",
      "source": "Number of trees by cardinal direction"
    },
    {
      "metadata": {},
      "id": "418172ef",
      "cell_type": "markdown",
      "source": "Sector coordinate pairs:\n* North: `(bounds[0], bounds[3])`, `(bounds[2], bounds[3])` \n* South: `(bounds[0], bounds[1])`, `(bounds[2], bounds[1])`\n* West: `(bounds[0], bounds[1])`, `(bounds[0], bounds[3])`\n* East: `(bounds[2], bounds[1])`, `(bounds[2], bounds[3])`"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:39.303080Z",
          "end_time": "2021-09-29T12:08:39.311531Z"
        },
        "trusted": true
      },
      "id": "6708ee61",
      "cell_type": "code",
      "source": "def calc_trees_north(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[3]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return(len(ttops))\n\ndef calc_trees_south(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[1])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return(len(ttops))\n\ndef calc_trees_west(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[0], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return(len(ttops))\n\ndef calc_trees_east(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[2], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return(len(ttops))",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "98c351e5",
      "cell_type": "markdown",
      "source": "Canopy area by cardinal direction"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:40.474588Z",
          "end_time": "2021-09-29T12:08:40.488562Z"
        },
        "code_folding": [],
        "trusted": true
      },
      "id": "57ff6f31",
      "cell_type": "code",
      "source": "def calc_canopy_area_north(filename, geometry, radius=10):\n    # Calculate total canopy area for delineated canopies within radius from measured treetop\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    crowns = gpd.read_file(DATA_PATH/f'canopies/{filename}.geojson')\n    if crowns.crs != tree_point.crs: crowns.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[3]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    crowns = gpd.overlay(crowns, sector, how='intersection')\n    area = 0\n    for c in crowns.itertuples():\n        area += c.geometry.area\n    return area\n\ndef calc_canopy_area_south(filename, geometry, radius=10):\n    # Calculate total canopy area for delineated canopies within radius from measured treetop\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    crowns = gpd.read_file(DATA_PATH/f'canopies/{filename}.geojson')\n    if crowns.crs != tree_point.crs: crowns.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[1])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    crowns = gpd.overlay(crowns, sector, how='intersection')\n    area = 0\n    for c in crowns.itertuples():\n        area += c.geometry.area\n    return area\n\ndef calc_canopy_area_west(filename, geometry, radius=10):\n    # Calculate total canopy area for delineated canopies within radius from measured treetop\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    crowns = gpd.read_file(DATA_PATH/f'canopies/{filename}.geojson')\n    if crowns.crs != tree_point.crs: crowns.crs = tree_point.crs\n        \n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[0], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    crowns = gpd.overlay(crowns, sector, how='intersection')\n    area = 0\n    for c in crowns.itertuples():\n        area += c.geometry.area\n    return area\n\ndef calc_canopy_area_east(filename, geometry, radius=10):\n    # Calculate total canopy area for delineated canopies within radius from measured treetop\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    crowns = gpd.read_file(DATA_PATH/f'canopies/{filename}.geojson')\n    if crowns.crs != tree_point.crs: crowns.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[2], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    crowns = gpd.overlay(crowns, sector, how='intersection')\n    area = 0\n    for c in crowns.itertuples():\n        area += c.geometry.area\n    return area\n",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "82e05ba5",
      "cell_type": "markdown",
      "source": "Species-wise presences"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:41.614532Z",
          "end_time": "2021-09-29T12:08:41.628853Z"
        },
        "trusted": true
      },
      "id": "11055c0b",
      "cell_type": "code",
      "source": "def calc_species_present(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    species = gpd.overlay(species, tree_point, how='intersection')\n    present = 0\n    if species_name in species.prediction.unique(): present = 1\n    return present\n\ndef calc_num_species_instances(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    tree_point.crs = 'EPSG:32635'\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    species = gpd.overlay(species, tree_point, how='intersection')\n    return len(species[species.prediction==species_name])",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "7099a123",
      "cell_type": "markdown",
      "source": "Number of species instances by cardinal direction"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:43.542291Z",
          "end_time": "2021-09-29T12:08:43.554771Z"
        },
        "trusted": true
      },
      "id": "301e4539",
      "cell_type": "code",
      "source": "def calc_species_instances_north(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[3]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    species = gpd.overlay(species, sector, how='intersection')\n    return len(species[species.prediction==species_name])\n\ndef calc_species_instances_south(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[1])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    species = gpd.overlay(species, sector, how='intersection')\n    return len(species[species.prediction==species_name])\n\ndef calc_species_instances_west(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[0], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[0], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    species = gpd.overlay(species, sector, how='intersection')\n    return len(species[species.prediction==species_name])\n\ndef calc_species_instances_east(filename, geometry, species_name='Scots pine', radius=10):\n    tree_point = gpd.GeoSeries([geometry.buffer(radius)])\n    centroid = tree_point.centroid\n    tree_point = gpd.GeoDataFrame(geometry=tree_point)\n    species = gpd.read_file(DATA_PATH/f'species/{filename}.geojson')\n    if species.crs != tree_point.crs: species.crs = tree_point.crs\n    triangle = Polygon([(*centroid), \n                        (tree_point.total_bounds[2], tree_point.total_bounds[1]),                       \n                        (tree_point.total_bounds[2], tree_point.total_bounds[3])])\n    sector = gpd.GeoDataFrame(geometry=tree_point.intersection(triangle))\n    species = gpd.overlay(species, sector, how='intersection')\n    return len(species[species.prediction==species_name])",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "18b6ac32",
      "cell_type": "markdown",
      "source": "# Feature engineering"
    },
    {
      "metadata": {},
      "id": "1b136572",
      "cell_type": "markdown",
      "source": "Data has been merged to include both old lichen data and pH/coarseness measurements from 2021. All missing data is dropped."
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:47.270204Z",
          "end_time": "2021-09-29T12:08:47.464219Z"
        },
        "trusted": true
      },
      "id": "75955101",
      "cell_type": "code",
      "source": "lichen_shp = gpd.read_file('../data/lichen.json')\nlichen_shp = lichen_shp.to_crs('epsg:32635')",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "6b19bfd6",
      "cell_type": "markdown",
      "source": "Let's use the King Aspen as an example for visualizing what we are doing."
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:08:49.103301Z",
          "end_time": "2021-09-29T12:08:49.668900Z"
        },
        "trusted": true
      },
      "id": "a05044ac",
      "cell_type": "code",
      "source": "point_10m = lichen_shp[lichen_shp.DBH > 70].iloc[0].geometry.buffer(10)\npoint_30m = lichen_shp[lichen_shp.DBH > 70].iloc[0].geometry.buffer(30)\n\nttops = gpd.read_file(DATA_PATH/f'ttops/38_396100.1_6791405.geojson')\ncrowns = gpd.read_file(DATA_PATH/f'canopies/38_396100.1_6791405.geojson')\nspecies = gpd.read_file(DATA_PATH/f'species/38_396100.1_6791405.geojson')\n\ncrowns.crs = 'EPSG:32635'\nttops_10m = ttops[ttops.geometry.within(point_10m)]\nttops_30m = ttops[ttops.geometry.within(point_30m)]\n\ngdf_10m = gpd.GeoDataFrame(geometry=gpd.GeoSeries([point_10m]))\ngdf_10m.crs = 'EPSG:32635'\n\ngdf_30m = gpd.GeoDataFrame(geometry=gpd.GeoSeries([point_30m]))\ngdf_30m.crs = 'EPSG:32635'\n\ncrowns_10m = gpd.overlay(crowns, gdf_10m, how='intersection')\ncrowns_30m = gpd.overlay(crowns, gdf_30m, how='intersection')\n\nspecies_10m = gpd.GeoDataFrame(geometry=gpd.GeoSeries([point_10m]))\nspecies_10m.crs = 'EPSG:32635'\n\nspecies_30m = gpd.GeoDataFrame(geometry=gpd.GeoSeries([point_30m]))\nspecies_30m.crs = 'EPSG:32635'\n\nspecies_10m = gpd.overlay(species, species_10m, how='intersection')\nspecies_30m = gpd.overlay(species, species_30m, how='intersection')",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:10:00.352026Z",
          "end_time": "2021-09-29T12:10:00.365341Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "ttops",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 10,
          "data": {
            "text/plain": "     treeID      Z                        geometry\n0         1  24.97  POINT (396050.190 6791448.960)\n1         2  23.76  POINT (396052.140 6791452.160)\n2         3  23.31  POINT (396054.640 6791442.580)\n3         4  21.39  POINT (396052.470 6791432.250)\n4         5  24.83  POINT (396063.590 6791453.800)\n..      ...    ...                             ...\n195     196  29.37  POINT (396079.500 6791426.160)\n196     197  22.00  POINT (396069.790 6791406.140)\n197     198  26.91  POINT (396101.620 6791355.520)\n198     199  15.53  POINT (396062.970 6791411.050)\n199     200  22.02  POINT (396052.610 6791427.070)\n\n[200 rows x 3 columns]",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>treeID</th>\n      <th>Z</th>\n      <th>geometry</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>24.97</td>\n      <td>POINT (396050.190 6791448.960)</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>23.76</td>\n      <td>POINT (396052.140 6791452.160)</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>23.31</td>\n      <td>POINT (396054.640 6791442.580)</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>21.39</td>\n      <td>POINT (396052.470 6791432.250)</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>24.83</td>\n      <td>POINT (396063.590 6791453.800)</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>195</th>\n      <td>196</td>\n      <td>29.37</td>\n      <td>POINT (396079.500 6791426.160)</td>\n    </tr>\n    <tr>\n      <th>196</th>\n      <td>197</td>\n      <td>22.00</td>\n      <td>POINT (396069.790 6791406.140)</td>\n    </tr>\n    <tr>\n      <th>197</th>\n      <td>198</td>\n      <td>26.91</td>\n      <td>POINT (396101.620 6791355.520)</td>\n    </tr>\n    <tr>\n      <th>198</th>\n      <td>199</td>\n      <td>15.53</td>\n      <td>POINT (396062.970 6791411.050)</td>\n    </tr>\n    <tr>\n      <th>199</th>\n      <td>200</td>\n      <td>22.02</td>\n      <td>POINT (396052.610 6791427.070)</td>\n    </tr>\n  </tbody>\n</table>\n<p>200 rows × 3 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:11:21.345092Z",
          "end_time": "2021-09-29T12:11:21.350847Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def calc_tree_mean_height(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    ttops = ttops[ttops.geometry.within(tree_point)]\n    return ttops.Z.mean()\n\ndef calc_tree_min_height(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    ttops = ttops[ttops.geometry.within(tree_point)]\n    return ttops.Z.min()\n\ndef calc_tree_max_height(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    ttops = ttops[ttops.geometry.within(tree_point)]\n    return ttops.Z.max()",
      "execution_count": 11,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:15:39.501032Z",
          "end_time": "2021-09-29T12:15:39.506899Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def calc_tree_mean_height_north(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[3]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()\n\ndef calc_tree_min_height_north(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[3]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.min()\n\ndef calc_tree_max_height_north(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[3]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()",
      "execution_count": 12,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:15:42.433280Z",
          "end_time": "2021-09-29T12:15:42.439330Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def calc_tree_mean_height_south(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[1])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()\n\ndef calc_tree_min_height_south(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[1])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.min()\n\ndef calc_tree_max_height_south(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[1])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()",
      "execution_count": 15,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:15:42.911192Z",
          "end_time": "2021-09-29T12:15:42.917735Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def calc_tree_mean_height_west(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[0], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()\n\ndef calc_tree_min_height_west(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[0], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.min()\n\ndef calc_tree_max_height_west(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[0], tree_point.bounds[1]),                       \n                        (tree_point.bounds[0], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()",
      "execution_count": 16,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:15:43.598404Z",
          "end_time": "2021-09-29T12:15:43.606383Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "def calc_tree_mean_height_east(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[2], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()\n\ndef calc_tree_min_height_east(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[2], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.min()\n\ndef calc_tree_max_height_east(filename, geometry, radius=10):\n    tree_point = geometry.buffer(radius)\n    ttops = gpd.read_file(DATA_PATH/f'ttops/{filename}.geojson')\n    triangle = Polygon([(tree_point.centroid), \n                        (tree_point.bounds[2], tree_point.bounds[1]),                       \n                        (tree_point.bounds[2], tree_point.bounds[3])])\n    sector = tree_point.intersection(triangle)\n    ttops = ttops[ttops.geometry.within(sector)]\n    return ttops.Z.mean()",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:15:44.648400Z",
          "end_time": "2021-09-29T12:15:44.667518Z"
        },
        "trusted": true
      },
      "id": "b7923c68",
      "cell_type": "code",
      "source": "crowns_10m.head()",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 18,
          "data": {
            "text/plain": "   value         NA        NA.1   NA.2          X           Y  Height_m  \\\n0    188  396091.10  6791414.01  28.16  396091.56  6791414.16     27.43   \n1     95  396088.00  6791410.52  24.98  396089.27  6791410.29     24.31   \n2    186  396087.95  6791399.04  22.50  396087.67  6791400.16     22.32   \n3    187  396093.44  6791403.08  20.22  396090.26  6791404.16     20.27   \n4    185  396096.56  6791407.24  27.57  396096.22  6791407.08     26.97   \n\n   CA_m2                                           geometry  \n0  37.23  POLYGON ((396093.047 6791410.490, 396092.289 6...  \n1  27.46  POLYGON ((396092.360 6791410.915, 396092.734 6...  \n2  22.40  POLYGON ((396090.745 6791400.962, 396091.591 6...  \n3  30.46  POLYGON ((396091.152 6791400.781, 396090.756 6...  \n4  51.67  POLYGON ((396097.855 6791402.813, 396096.970 6...  ",
            "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>value</th>\n      <th>NA</th>\n      <th>NA.1</th>\n      <th>NA.2</th>\n      <th>X</th>\n      <th>Y</th>\n      <th>Height_m</th>\n      <th>CA_m2</th>\n      <th>geometry</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>188</td>\n      <td>396091.10</td>\n      <td>6791414.01</td>\n      <td>28.16</td>\n      <td>396091.56</td>\n      <td>6791414.16</td>\n      <td>27.43</td>\n      <td>37.23</td>\n      <td>POLYGON ((396093.047 6791410.490, 396092.289 6...</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>95</td>\n      <td>396088.00</td>\n      <td>6791410.52</td>\n      <td>24.98</td>\n      <td>396089.27</td>\n      <td>6791410.29</td>\n      <td>24.31</td>\n      <td>27.46</td>\n      <td>POLYGON ((396092.360 6791410.915, 396092.734 6...</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>186</td>\n      <td>396087.95</td>\n      <td>6791399.04</td>\n      <td>22.50</td>\n      <td>396087.67</td>\n      <td>6791400.16</td>\n      <td>22.32</td>\n      <td>22.40</td>\n      <td>POLYGON ((396090.745 6791400.962, 396091.591 6...</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>187</td>\n      <td>396093.44</td>\n      <td>6791403.08</td>\n      <td>20.22</td>\n      <td>396090.26</td>\n      <td>6791404.16</td>\n      <td>20.27</td>\n      <td>30.46</td>\n      <td>POLYGON ((396091.152 6791400.781, 396090.756 6...</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>185</td>\n      <td>396096.56</td>\n      <td>6791407.24</td>\n      <td>27.57</td>\n      <td>396096.22</td>\n      <td>6791407.08</td>\n      <td>26.97</td>\n      <td>51.67</td>\n      <td>POLYGON ((396097.855 6791402.813, 396096.970 6...</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "end_time": "2021-09-14T09:09:25.723938Z",
          "start_time": "2021-09-14T09:09:25.137576Z"
        },
        "trusted": false
      },
      "id": "cc730b93",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(2,1, figsize=(6,10))\n\nfor a in axs:\n    a.set_xticks([])\n    a.set_yticks([])\n\nttops_10m.plot(ax=axs[0])\nlichen_shp[lichen_shp.DBH > 70].plot(ax=axs[0])\n\nttops_30m.plot(ax=axs[1])\nlichen_shp[lichen_shp.DBH > 70].plot(ax=axs[1])\n\ncrowns_10m.boundary.plot(ax=axs[0])\n\ntriangle_30m = point_30m.intersection(Polygon([(point_30m.centroid), \n                                               (point_30m.bounds[0], point_30m.bounds[1]),\n                                               (point_30m.bounds[2], point_30m.bounds[1])]))\ngpd.overlay(crowns_30m, gpd.GeoDataFrame(geometry=gpd.GeoSeries([triangle_30m]), \n                                                       crs='epsg:32635'), how='intersection').boundary.plot(ax=axs[1])\n#crowns_30m[crowns_30m.geometry.centroid.y <= lichen_shp[lichen_shp.DBH > 70].iloc[0].geometry.y].boundary.plot(ax=axs[1])\naxs[0].set_title('10m plot')\naxs[1].set_title('30m plot')\n\nlichen_shp[lichen_shp.DBH > 70].plot(ax=axs[0])\nlichen_shp[lichen_shp.DBH > 70].plot(ax=axs[1])\n\nspecies_10m.plot(ax=axs[0], column='prediction', legend=True)\nspecies_30m.plot(ax=axs[1], column='prediction', legend=True)\nplt.show()",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x720 with 2 Axes>"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Mean, min and max height of all trees within the plot or the sector"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:17:21.501705Z",
          "end_time": "2021-09-29T12:18:34.384798Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "lichen_shp['mean_h_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height(row.fname, row.geometry, 10), axis=1)\nlichen_shp['mean_h_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height(row.fname, row.geometry, 30), axis=1)\nlichen_shp['mean_h_north_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_north(row.fname, row.geometry, 10), axis=1)\nlichen_shp['mean_h_north_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_north(row.fname, row.geometry, 30), axis=1)\nlichen_shp['mean_h_south_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_south(row.fname, row.geometry, 10), axis=1)\nlichen_shp['mean_h_south_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_south(row.fname, row.geometry, 30), axis=1)\nlichen_shp['mean_h_west_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_west(row.fname, row.geometry, 10), axis=1)\nlichen_shp['mean_h_west_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_west(row.fname, row.geometry, 30), axis=1)\nlichen_shp['mean_h_east_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_east(row.fname, row.geometry, 10), axis=1)\nlichen_shp['mean_h_east_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_mean_height_east(row.fname, row.geometry, 30), axis=1)",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:07<00:00, 32.61it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.48it/s]\n100%|██████████| 230/230 [00:07<00:00, 32.56it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.25it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.89it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.76it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.91it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.24it/s]\n100%|██████████| 230/230 [00:07<00:00, 32.42it/s]\n100%|██████████| 230/230 [00:07<00:00, 29.05it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:18:41.037012Z",
          "end_time": "2021-09-29T12:19:59.367889Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "lichen_shp['min_h_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height(row.fname, row.geometry, 10), axis=1)\nlichen_shp['min_h_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height(row.fname, row.geometry, 30), axis=1)\nlichen_shp['min_h_north_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_north(row.fname, row.geometry, 10), axis=1)\nlichen_shp['min_h_north_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_north(row.fname, row.geometry, 30), axis=1)\nlichen_shp['min_h_south_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_south(row.fname, row.geometry, 10), axis=1)\nlichen_shp['min_h_south_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_south(row.fname, row.geometry, 30), axis=1)\nlichen_shp['min_h_west_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_west(row.fname, row.geometry, 10), axis=1)\nlichen_shp['min_h_west_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_west(row.fname, row.geometry, 30), axis=1)\nlichen_shp['min_h_east_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_east(row.fname, row.geometry, 10), axis=1)\nlichen_shp['min_h_east_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_min_height_east(row.fname, row.geometry, 30), axis=1)",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:07<00:00, 31.86it/s]\n100%|██████████| 230/230 [00:07<00:00, 30.88it/s]\n100%|██████████| 230/230 [00:07<00:00, 31.51it/s]\n100%|██████████| 230/230 [00:07<00:00, 30.89it/s]\n100%|██████████| 230/230 [00:07<00:00, 30.40it/s]\n100%|██████████| 230/230 [00:07<00:00, 29.26it/s]\n100%|██████████| 230/230 [00:08<00:00, 28.48it/s]\n100%|██████████| 230/230 [00:08<00:00, 26.90it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.36it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.31it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:19:59.370205Z",
          "end_time": "2021-09-29T12:21:28.535208Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "lichen_shp['max_h_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height(row.fname, row.geometry, 10), axis=1)\nlichen_shp['max_h_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height(row.fname, row.geometry, 30), axis=1)\nlichen_shp['max_h_north_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_north(row.fname, row.geometry, 10), axis=1)\nlichen_shp['max_h_north_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_north(row.fname, row.geometry, 30), axis=1)\nlichen_shp['max_h_south_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_south(row.fname, row.geometry, 10), axis=1)\nlichen_shp['max_h_south_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_south(row.fname, row.geometry, 30), axis=1)\nlichen_shp['max_h_west_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_west(row.fname, row.geometry, 10), axis=1)\nlichen_shp['max_h_west_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_west(row.fname, row.geometry, 30), axis=1)\nlichen_shp['max_h_east_10m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_east(row.fname, row.geometry, 10), axis=1)\nlichen_shp['max_h_east_30m'] = lichen_shp.progress_apply(lambda row: calc_tree_max_height_east(row.fname, row.geometry, 30), axis=1)",
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:08<00:00, 27.54it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.91it/s]\n100%|██████████| 230/230 [00:09<00:00, 24.48it/s]\n100%|██████████| 230/230 [00:10<00:00, 22.45it/s]\n100%|██████████| 230/230 [00:09<00:00, 25.12it/s]\n100%|██████████| 230/230 [00:09<00:00, 25.00it/s]\n100%|██████████| 230/230 [00:09<00:00, 25.45it/s]\n100%|██████████| 230/230 [00:08<00:00, 26.14it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.88it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.21it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {},
      "id": "079805c2",
      "cell_type": "markdown",
      "source": "Number of trees"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:22:35.832023Z",
          "end_time": "2021-09-29T12:24:00.277940Z"
        },
        "scrolled": false,
        "trusted": true
      },
      "id": "e0154d99",
      "cell_type": "code",
      "source": "lichen_shp['ntrees_10m'] = lichen_shp.progress_apply(lambda row: calc_num_trees(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ntrees_30m'] = lichen_shp.progress_apply(lambda row: calc_num_trees(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ntrees_north_10m'] = lichen_shp.progress_apply(lambda row: calc_trees_north(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ntrees_north_30m'] = lichen_shp.progress_apply(lambda row: calc_trees_north(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ntrees_south_10m'] = lichen_shp.progress_apply(lambda row: calc_trees_south(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ntrees_south_30m'] = lichen_shp.progress_apply(lambda row: calc_trees_south(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ntrees_west_10m'] = lichen_shp.progress_apply(lambda row: calc_trees_west(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ntrees_west_30m'] = lichen_shp.progress_apply(lambda row: calc_trees_west(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ntrees_east_10m'] = lichen_shp.progress_apply(lambda row: calc_trees_east(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ntrees_east_30m'] = lichen_shp.progress_apply(lambda row: calc_trees_east(row.fname, row.geometry, 30), axis=1)",
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:07<00:00, 28.86it/s]\n100%|██████████| 230/230 [00:08<00:00, 25.98it/s]\n100%|██████████| 230/230 [00:08<00:00, 26.88it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.24it/s]\n100%|██████████| 230/230 [00:08<00:00, 28.31it/s]\n100%|██████████| 230/230 [00:08<00:00, 28.16it/s]\n100%|██████████| 230/230 [00:09<00:00, 25.14it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.97it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.02it/s]\n100%|██████████| 230/230 [00:08<00:00, 27.36it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {},
      "id": "712e5925",
      "cell_type": "markdown",
      "source": "Canopy areas"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:24:04.620042Z",
          "end_time": "2021-09-29T12:29:19.610106Z"
        },
        "trusted": true
      },
      "id": "5f864f99",
      "cell_type": "code",
      "source": "lichen_shp['ca_10m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ca_30m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ca_north_10m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_north(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ca_north_30m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_north(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ca_south_10m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_south(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ca_south_30m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_south(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ca_west_10m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_west(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ca_west_30m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_west(row.fname, row.geometry, 30), axis=1)\nlichen_shp['ca_east_10m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_east(row.fname, row.geometry, 10), axis=1)\nlichen_shp['ca_east_30m'] = lichen_shp.progress_apply(lambda row: calc_canopy_area_east(row.fname, row.geometry, 30), axis=1)",
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:29<00:00,  7.82it/s]\n100%|██████████| 230/230 [00:42<00:00,  5.41it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.14it/s]\n100%|██████████| 230/230 [00:32<00:00,  7.11it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.18it/s]\n100%|██████████| 230/230 [00:33<00:00,  6.96it/s]\n100%|██████████| 230/230 [00:27<00:00,  8.35it/s]\n100%|██████████| 230/230 [00:31<00:00,  7.24it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.08it/s]\n100%|██████████| 230/230 [00:33<00:00,  6.86it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {},
      "id": "046c5f27",
      "cell_type": "markdown",
      "source": "Species-wise"
    },
    {
      "metadata": {},
      "id": "c3b190b3",
      "cell_type": "markdown",
      "source": "Pine"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:29:19.611742Z",
          "end_time": "2021-09-29T12:34:44.602694Z"
        },
        "trusted": true
      },
      "id": "44bc31db",
      "cell_type": "code",
      "source": "lichen_shp['num_pine_10m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Scots pine', 10), axis=1)\nlichen_shp['num_pine_30m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Scots pine', 30), axis=1)\nlichen_shp['num_pine_north_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Scots pine', 10), axis=1)\nlichen_shp['num_pine_north_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Scots pine', 30), axis=1)\nlichen_shp['num_pine_south_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Scots pine', 10), axis=1)\nlichen_shp['num_pine_south_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Scots pine', 30), axis=1)\nlichen_shp['num_pine_west_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Scots pine', 10), axis=1)\nlichen_shp['num_pine_west_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Scots pine', 30), axis=1)\nlichen_shp['num_pine_east_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Scots pine', 10), axis=1)\nlichen_shp['num_pine_east_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Scots pine', 30), axis=1)",
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:32<00:00,  7.10it/s]\n100%|██████████| 230/230 [00:52<00:00,  4.42it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.03it/s]\n100%|██████████| 230/230 [00:33<00:00,  6.96it/s]\n100%|██████████| 230/230 [00:29<00:00,  7.75it/s]\n100%|██████████| 230/230 [00:40<00:00,  5.63it/s]\n100%|██████████| 230/230 [00:25<00:00,  8.92it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.06it/s]\n100%|██████████| 230/230 [00:24<00:00,  9.48it/s]\n100%|██████████| 230/230 [00:29<00:00,  7.75it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:34:44.604731Z",
          "end_time": "2021-09-29T12:34:44.617723Z"
        },
        "trusted": true
      },
      "id": "f41921d9",
      "cell_type": "code",
      "source": "lichen_shp['pine_present_10m'] = (lichen_shp.num_pine_10m > 0).astype(int)\nlichen_shp['pine_present_30m'] = (lichen_shp.num_pine_30m > 0).astype(int)\nlichen_shp['pine_present_north_10m'] = (lichen_shp.num_pine_north_10m > 0).astype(int)\nlichen_shp['pine_present_north_30m'] = (lichen_shp.num_pine_north_30m > 0).astype(int)\nlichen_shp['pine_present_south_10m'] = (lichen_shp.num_pine_south_10m > 0).astype(int)\nlichen_shp['pine_present_south_30m'] = (lichen_shp.num_pine_south_30m > 0).astype(int)\nlichen_shp['pine_present_west_10m'] = (lichen_shp.num_pine_west_10m > 0).astype(int)\nlichen_shp['pine_present_west_30m'] = (lichen_shp.num_pine_west_30m > 0).astype(int)\nlichen_shp['pine_present_east_10m'] = (lichen_shp.num_pine_east_10m > 0).astype(int)\nlichen_shp['pine_present_east_30m'] = (lichen_shp.num_pine_east_30m > 0).astype(int)",
      "execution_count": 26,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "b0610e98",
      "cell_type": "markdown",
      "source": "Spruce"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:34:44.619921Z",
          "end_time": "2021-09-29T12:40:07.427045Z"
        },
        "trusted": true
      },
      "id": "45fbc808",
      "cell_type": "code",
      "source": "lichen_shp['num_spruce_10m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Norway spruce', 10), axis=1)\nlichen_shp['num_spruce_30m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Norway spruce', 30), axis=1)\nlichen_shp['num_spruce_north_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Norway spruce', 10), axis=1)\nlichen_shp['num_spruce_north_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Norway spruce', 30), axis=1)\nlichen_shp['num_spruce_south_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Norway spruce', 10), axis=1)\nlichen_shp['num_spruce_south_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Norway spruce', 30), axis=1)\nlichen_shp['num_spruce_west_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Norway spruce', 10), axis=1)\nlichen_shp['num_spruce_west_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Norway spruce', 30), axis=1)\nlichen_shp['num_spruce_east_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Norway spruce', 10), axis=1)\nlichen_shp['num_spruce_east_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Norway spruce', 30), axis=1)",
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:30<00:00,  7.52it/s]\n100%|██████████| 230/230 [00:39<00:00,  5.80it/s]\n100%|██████████| 230/230 [00:28<00:00,  8.07it/s]\n100%|██████████| 230/230 [00:33<00:00,  6.82it/s]\n100%|██████████| 230/230 [00:29<00:00,  7.77it/s]\n100%|██████████| 230/230 [00:35<00:00,  6.57it/s]\n100%|██████████| 230/230 [00:33<00:00,  6.82it/s]\n100%|██████████| 230/230 [00:32<00:00,  7.13it/s]\n100%|██████████| 230/230 [00:27<00:00,  8.43it/s]\n100%|██████████| 230/230 [00:32<00:00,  7.10it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:40:07.428779Z",
          "end_time": "2021-09-29T12:40:07.441040Z"
        },
        "trusted": true
      },
      "id": "4c95d4e8",
      "cell_type": "code",
      "source": "lichen_shp['spruce_present_10m'] = (lichen_shp.num_spruce_10m > 0).astype(int)\nlichen_shp['spruce_present_30m'] = (lichen_shp.num_spruce_30m > 0).astype(int)\nlichen_shp['spruce_present_north_10m'] = (lichen_shp.num_spruce_north_10m > 0).astype(int)\nlichen_shp['spruce_present_north_30m'] = (lichen_shp.num_spruce_north_30m > 0).astype(int)\nlichen_shp['spruce_present_south_10m'] = (lichen_shp.num_spruce_south_10m > 0).astype(int)\nlichen_shp['spruce_present_south_30m'] = (lichen_shp.num_spruce_south_30m > 0).astype(int)\nlichen_shp['spruce_present_west_10m'] = (lichen_shp.num_spruce_west_10m > 0).astype(int)\nlichen_shp['spruce_present_west_30m'] = (lichen_shp.num_spruce_west_30m > 0).astype(int)\nlichen_shp['spruce_present_east_10m'] = (lichen_shp.num_spruce_east_10m > 0).astype(int)\nlichen_shp['spruce_present_east_30m'] = (lichen_shp.num_spruce_east_30m > 0).astype(int)",
      "execution_count": 28,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "5e8a4790",
      "cell_type": "markdown",
      "source": "Birch"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:40:07.442530Z",
          "end_time": "2021-09-29T12:44:37.450273Z"
        },
        "trusted": true
      },
      "id": "a97547a0",
      "cell_type": "code",
      "source": "lichen_shp['num_birch_10m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Birch', 10), axis=1)\nlichen_shp['num_birch_30m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'Birch', 30), axis=1)\nlichen_shp['num_birch_north_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Birch', 10), axis=1)\nlichen_shp['num_birch_north_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'Birch', 30), axis=1)\nlichen_shp['num_birch_south_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Birch', 10), axis=1)\nlichen_shp['num_birch_south_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'Birch', 30), axis=1)\nlichen_shp['num_birch_west_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Birch', 10), axis=1)\nlichen_shp['num_birch_west_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'Birch', 30), axis=1)\nlichen_shp['num_birch_east_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Birch', 10), axis=1)\nlichen_shp['num_birch_east_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'Birch', 30), axis=1)",
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:30<00:00,  7.49it/s]\n100%|██████████| 230/230 [00:47<00:00,  4.89it/s]\n100%|██████████| 230/230 [00:23<00:00,  9.88it/s]\n100%|██████████| 230/230 [00:25<00:00,  8.91it/s]\n100%|██████████| 230/230 [00:21<00:00, 10.69it/s]\n100%|██████████| 230/230 [00:25<00:00,  8.96it/s]\n100%|██████████| 230/230 [00:23<00:00,  9.74it/s]\n100%|██████████| 230/230 [00:26<00:00,  8.53it/s]\n100%|██████████| 230/230 [00:21<00:00, 10.84it/s]\n100%|██████████| 230/230 [00:24<00:00,  9.51it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:44:37.452088Z",
          "end_time": "2021-09-29T12:44:37.463796Z"
        },
        "trusted": true
      },
      "id": "9bce08e7",
      "cell_type": "code",
      "source": "lichen_shp['birch_present_10m'] = (lichen_shp.num_birch_10m > 0).astype(int)\nlichen_shp['birch_present_30m'] = (lichen_shp.num_birch_30m > 0).astype(int)\nlichen_shp['birch_present_north_10m'] = (lichen_shp.num_birch_north_10m > 0).astype(int)\nlichen_shp['birch_present_north_30m'] = (lichen_shp.num_birch_north_30m > 0).astype(int)\nlichen_shp['birch_present_south_10m'] = (lichen_shp.num_birch_south_10m > 0).astype(int)\nlichen_shp['birch_present_south_30m'] = (lichen_shp.num_birch_south_30m > 0).astype(int)\nlichen_shp['birch_present_west_10m'] = (lichen_shp.num_birch_west_10m > 0).astype(int)\nlichen_shp['birch_present_west_30m'] = (lichen_shp.num_birch_west_30m > 0).astype(int)\nlichen_shp['birch_present_east_10m'] = (lichen_shp.num_birch_east_10m > 0).astype(int)\nlichen_shp['birch_present_east_30m'] = (lichen_shp.num_birch_east_30m > 0).astype(int)",
      "execution_count": 30,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "b7905154",
      "cell_type": "markdown",
      "source": "Aspen"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:44:37.466906Z",
          "end_time": "2021-09-29T12:48:48.420370Z"
        },
        "trusted": true
      },
      "id": "118d1ced",
      "cell_type": "code",
      "source": "lichen_shp['num_aspen_10m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'European aspen', 10), axis=1)\nlichen_shp['num_aspen_30m'] = lichen_shp.progress_apply(lambda row: calc_num_species_instances(row.fname, row.geometry, 'European aspen', 30), axis=1)\nlichen_shp['num_aspen_north_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'European aspen', 10), axis=1)\nlichen_shp['num_aspen_north_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_north(row.fname, row.geometry, 'European aspen', 30), axis=1)\nlichen_shp['num_aspen_south_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'European aspen', 10), axis=1)\nlichen_shp['num_aspen_south_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_south(row.fname, row.geometry, 'European aspen', 30), axis=1)\nlichen_shp['num_aspen_west_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'European aspen', 10), axis=1)\nlichen_shp['num_aspen_west_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_west(row.fname, row.geometry, 'European aspen', 30), axis=1)\nlichen_shp['num_aspen_east_10m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'European aspen', 10), axis=1)\nlichen_shp['num_aspen_east_30m'] = lichen_shp.progress_apply(lambda row: calc_species_instances_east(row.fname, row.geometry, 'European aspen', 30), axis=1)",
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": "100%|██████████| 230/230 [00:24<00:00,  9.51it/s]\n100%|██████████| 230/230 [00:35<00:00,  6.49it/s]\n100%|██████████| 230/230 [00:21<00:00, 10.85it/s]\n100%|██████████| 230/230 [00:25<00:00,  9.11it/s]\n100%|██████████| 230/230 [00:22<00:00, 10.16it/s]\n100%|██████████| 230/230 [00:27<00:00,  8.42it/s]\n100%|██████████| 230/230 [00:23<00:00,  9.67it/s]\n100%|██████████| 230/230 [00:24<00:00,  9.23it/s]\n100%|██████████| 230/230 [00:21<00:00, 10.67it/s]\n100%|██████████| 230/230 [00:24<00:00,  9.34it/s]\n",
          "name": "stderr"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:48:48.422001Z",
          "end_time": "2021-09-29T12:48:48.431812Z"
        },
        "trusted": true
      },
      "id": "e3cb77fd",
      "cell_type": "code",
      "source": "lichen_shp['aspen_present_10m'] = (lichen_shp.num_aspen_10m > 0).astype(int)\nlichen_shp['aspen_present_30m'] = (lichen_shp.num_aspen_30m > 0).astype(int)\nlichen_shp['aspen_present_north_10m'] = (lichen_shp.num_aspen_north_10m > 0).astype(int)\nlichen_shp['aspen_present_north_30m'] = (lichen_shp.num_aspen_north_30m > 0).astype(int)\nlichen_shp['aspen_present_south_10m'] = (lichen_shp.num_aspen_south_10m > 0).astype(int)\nlichen_shp['aspen_present_south_30m'] = (lichen_shp.num_aspen_south_30m > 0).astype(int)\nlichen_shp['aspen_present_west_10m'] = (lichen_shp.num_aspen_west_10m > 0).astype(int)\nlichen_shp['aspen_present_west_30m'] = (lichen_shp.num_aspen_west_30m > 0).astype(int)\nlichen_shp['aspen_present_east_10m'] = (lichen_shp.num_aspen_east_10m > 0).astype(int)\nlichen_shp['aspen_present_east_30m'] = (lichen_shp.num_aspen_east_30m > 0).astype(int)",
      "execution_count": 32,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "2c884aff",
      "cell_type": "markdown",
      "source": "Number of species in total and in each general directions"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:35.525649Z",
          "end_time": "2021-09-29T12:49:35.536727Z"
        },
        "trusted": true
      },
      "id": "ebf09166",
      "cell_type": "code",
      "source": "lichen_shp['num_species_10m'] = lichen_shp.pine_present_10m + lichen_shp.spruce_present_10m + lichen_shp.aspen_present_10m + lichen_shp.birch_present_10m\nlichen_shp['num_species_30m'] = lichen_shp.pine_present_30m + lichen_shp.spruce_present_30m + lichen_shp.aspen_present_30m + lichen_shp.birch_present_30m\nlichen_shp['num_species_north_10m'] = lichen_shp.pine_present_north_10m + lichen_shp.spruce_present_north_10m + lichen_shp.aspen_present_north_10m + lichen_shp.birch_present_north_10m\nlichen_shp['num_species_north_30m'] = lichen_shp.pine_present_north_30m + lichen_shp.spruce_present_north_30m + lichen_shp.aspen_present_north_30m + lichen_shp.birch_present_north_30m\nlichen_shp['num_species_south_10m'] = lichen_shp.pine_present_south_10m + lichen_shp.spruce_present_south_10m + lichen_shp.aspen_present_south_10m + lichen_shp.birch_present_south_10m\nlichen_shp['num_species_south_30m'] = lichen_shp.pine_present_south_30m + lichen_shp.spruce_present_south_30m + lichen_shp.aspen_present_south_30m + lichen_shp.birch_present_south_30m\nlichen_shp['num_species_west_10m'] = lichen_shp.pine_present_west_10m + lichen_shp.spruce_present_west_10m + lichen_shp.aspen_present_west_10m + lichen_shp.birch_present_west_10m\nlichen_shp['num_species_west_30m'] = lichen_shp.pine_present_west_30m + lichen_shp.spruce_present_west_30m + lichen_shp.aspen_present_west_30m + lichen_shp.birch_present_west_30m\nlichen_shp['num_species_east_10m'] = lichen_shp.pine_present_east_10m + lichen_shp.spruce_present_east_10m + lichen_shp.aspen_present_east_10m + lichen_shp.birch_present_east_10m\nlichen_shp['num_species_east_30m'] = lichen_shp.pine_present_east_30m + lichen_shp.spruce_present_east_30m + lichen_shp.aspen_present_east_30m + lichen_shp.birch_present_east_30m",
      "execution_count": 41,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "e24582f7",
      "cell_type": "markdown",
      "source": "Relative proportions of tree species"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:36.905423Z",
          "end_time": "2021-09-29T12:49:36.918658Z"
        },
        "trusted": true
      },
      "id": "2a5ff985",
      "cell_type": "code",
      "source": "lichen_shp['pct_pine_10m'] = lichen_shp.num_pine_10m / (lichen_shp.num_pine_10m + lichen_shp.num_spruce_10m + lichen_shp.num_birch_10m + lichen_shp.num_aspen_10m)\nlichen_shp['pct_pine_north_10m'] = lichen_shp.num_pine_north_10m / (lichen_shp.num_pine_north_10m + lichen_shp.num_spruce_north_10m + lichen_shp.num_birch_north_10m + lichen_shp.num_aspen_north_10m)\nlichen_shp['pct_pine_south_10m'] = lichen_shp.num_pine_south_10m / (lichen_shp.num_pine_south_10m + lichen_shp.num_spruce_south_10m + lichen_shp.num_birch_south_10m + lichen_shp.num_aspen_south_10m)\nlichen_shp['pct_pine_west_10m'] = lichen_shp.num_pine_west_10m / (lichen_shp.num_pine_west_10m + lichen_shp.num_spruce_west_10m + lichen_shp.num_birch_west_10m + lichen_shp.num_aspen_west_10m)\nlichen_shp['pct_pine_east_10m'] = lichen_shp.num_pine_east_10m / (lichen_shp.num_pine_east_10m + lichen_shp.num_spruce_east_10m + lichen_shp.num_birch_east_10m + lichen_shp.num_aspen_east_10m)\n\nlichen_shp['pct_pine_30m'] = lichen_shp.num_pine_30m / (lichen_shp.num_pine_30m + lichen_shp.num_spruce_30m + lichen_shp.num_birch_30m + lichen_shp.num_aspen_30m)\nlichen_shp['pct_pine_north_30m'] = lichen_shp.num_pine_north_30m / (lichen_shp.num_pine_north_30m + lichen_shp.num_spruce_north_30m + lichen_shp.num_birch_north_30m + lichen_shp.num_aspen_north_30m)\nlichen_shp['pct_pine_south_30m'] = lichen_shp.num_pine_south_30m / (lichen_shp.num_pine_south_30m + lichen_shp.num_spruce_south_30m + lichen_shp.num_birch_south_30m + lichen_shp.num_aspen_south_30m)\nlichen_shp['pct_pine_west_30m'] = lichen_shp.num_pine_west_30m / (lichen_shp.num_pine_west_30m + lichen_shp.num_spruce_west_30m + lichen_shp.num_birch_west_30m + lichen_shp.num_aspen_west_30m)\nlichen_shp['pct_pine_east_30m'] = lichen_shp.num_pine_east_30m / (lichen_shp.num_pine_east_30m + lichen_shp.num_spruce_east_30m + lichen_shp.num_birch_east_30m + lichen_shp.num_aspen_east_30m)",
      "execution_count": 42,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:37.111339Z",
          "end_time": "2021-09-29T12:49:37.123173Z"
        },
        "trusted": true
      },
      "id": "92c4b723",
      "cell_type": "code",
      "source": "lichen_shp['pct_spruce_10m'] = lichen_shp.num_spruce_10m / (lichen_shp.num_pine_10m + lichen_shp.num_spruce_10m + lichen_shp.num_birch_10m + lichen_shp.num_aspen_10m)\nlichen_shp['pct_spruce_north_10m'] = lichen_shp.num_spruce_north_10m / (lichen_shp.num_pine_north_10m + lichen_shp.num_spruce_north_10m + lichen_shp.num_birch_north_10m + lichen_shp.num_aspen_north_10m)\nlichen_shp['pct_spruce_south_10m'] = lichen_shp.num_spruce_south_10m / (lichen_shp.num_pine_south_10m + lichen_shp.num_spruce_south_10m + lichen_shp.num_birch_south_10m + lichen_shp.num_aspen_south_10m)\nlichen_shp['pct_spruce_west_10m'] = lichen_shp.num_spruce_west_10m / (lichen_shp.num_pine_west_10m + lichen_shp.num_spruce_west_10m + lichen_shp.num_birch_west_10m + lichen_shp.num_aspen_west_10m)\nlichen_shp['pct_spruce_east_10m'] = lichen_shp.num_spruce_east_10m / (lichen_shp.num_pine_east_10m + lichen_shp.num_spruce_east_10m + lichen_shp.num_birch_east_10m + lichen_shp.num_aspen_east_10m)\n\nlichen_shp['pct_spruce_30m'] = lichen_shp.num_spruce_30m / (lichen_shp.num_pine_30m + lichen_shp.num_spruce_30m + lichen_shp.num_birch_30m + lichen_shp.num_aspen_30m)\nlichen_shp['pct_spruce_north_30m'] = lichen_shp.num_spruce_north_30m / (lichen_shp.num_pine_north_30m + lichen_shp.num_spruce_north_30m + lichen_shp.num_birch_north_30m + lichen_shp.num_aspen_north_30m)\nlichen_shp['pct_spruce_south_30m'] = lichen_shp.num_spruce_south_30m / (lichen_shp.num_pine_south_30m + lichen_shp.num_spruce_south_30m + lichen_shp.num_birch_south_30m + lichen_shp.num_aspen_south_30m)\nlichen_shp['pct_spruce_west_30m'] = lichen_shp.num_spruce_west_30m / (lichen_shp.num_pine_west_30m + lichen_shp.num_spruce_west_30m + lichen_shp.num_birch_west_30m + lichen_shp.num_aspen_west_30m)\nlichen_shp['pct_spruce_east_30m'] = lichen_shp.num_spruce_east_30m / (lichen_shp.num_pine_east_30m + lichen_shp.num_spruce_east_30m + lichen_shp.num_birch_east_30m + lichen_shp.num_aspen_east_30m)",
      "execution_count": 43,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:37.462669Z",
          "end_time": "2021-09-29T12:49:37.474855Z"
        },
        "trusted": true
      },
      "id": "b53fec75",
      "cell_type": "code",
      "source": "lichen_shp['pct_birch_10m'] = lichen_shp.num_birch_10m / (lichen_shp.num_pine_10m + lichen_shp.num_spruce_10m + lichen_shp.num_birch_10m + lichen_shp.num_aspen_10m)\nlichen_shp['pct_birch_north_10m'] = lichen_shp.num_birch_north_10m / (lichen_shp.num_pine_north_10m + lichen_shp.num_spruce_north_10m + lichen_shp.num_birch_north_10m + lichen_shp.num_aspen_north_10m)\nlichen_shp['pct_birch_south_10m'] = lichen_shp.num_birch_south_10m / (lichen_shp.num_pine_south_10m + lichen_shp.num_spruce_south_10m + lichen_shp.num_birch_south_10m + lichen_shp.num_aspen_south_10m)\nlichen_shp['pct_birch_west_10m'] = lichen_shp.num_birch_west_10m / (lichen_shp.num_pine_west_10m + lichen_shp.num_spruce_west_10m + lichen_shp.num_birch_west_10m + lichen_shp.num_aspen_west_10m)\nlichen_shp['pct_birch_east_10m'] = lichen_shp.num_birch_east_10m / (lichen_shp.num_pine_east_10m + lichen_shp.num_spruce_east_10m + lichen_shp.num_birch_east_10m + lichen_shp.num_aspen_east_10m)\n\nlichen_shp['pct_birch_30m'] = lichen_shp.num_birch_30m / (lichen_shp.num_pine_30m + lichen_shp.num_spruce_30m + lichen_shp.num_birch_30m + lichen_shp.num_aspen_30m)\nlichen_shp['pct_birch_north_30m'] = lichen_shp.num_birch_north_30m / (lichen_shp.num_pine_north_30m + lichen_shp.num_spruce_north_30m + lichen_shp.num_birch_north_30m + lichen_shp.num_aspen_north_30m)\nlichen_shp['pct_birch_south_30m'] = lichen_shp.num_birch_south_30m / (lichen_shp.num_pine_south_30m + lichen_shp.num_spruce_south_30m + lichen_shp.num_birch_south_30m + lichen_shp.num_aspen_south_30m)\nlichen_shp['pct_birch_west_30m'] = lichen_shp.num_birch_west_30m / (lichen_shp.num_pine_west_30m + lichen_shp.num_spruce_west_30m + lichen_shp.num_birch_west_30m + lichen_shp.num_aspen_west_30m)\nlichen_shp['pct_birch_east_30m'] = lichen_shp.num_birch_east_30m / (lichen_shp.num_pine_east_30m + lichen_shp.num_spruce_east_30m + lichen_shp.num_birch_east_30m + lichen_shp.num_aspen_east_30m)",
      "execution_count": 44,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:37.872073Z",
          "end_time": "2021-09-29T12:49:37.884249Z"
        },
        "trusted": true
      },
      "id": "73a31c7a",
      "cell_type": "code",
      "source": "lichen_shp['pct_aspen_10m'] = lichen_shp.num_aspen_10m / (lichen_shp.num_pine_10m + lichen_shp.num_spruce_10m + lichen_shp.num_birch_10m + lichen_shp.num_aspen_10m)\nlichen_shp['pct_aspen_north_10m'] = lichen_shp.num_aspen_north_10m / (lichen_shp.num_pine_north_10m + lichen_shp.num_spruce_north_10m + lichen_shp.num_birch_north_10m + lichen_shp.num_aspen_north_10m)\nlichen_shp['pct_aspen_south_10m'] = lichen_shp.num_aspen_south_10m / (lichen_shp.num_pine_south_10m + lichen_shp.num_spruce_south_10m + lichen_shp.num_birch_south_10m + lichen_shp.num_aspen_south_10m)\nlichen_shp['pct_aspen_west_10m'] = lichen_shp.num_aspen_west_10m / (lichen_shp.num_pine_west_10m + lichen_shp.num_spruce_west_10m + lichen_shp.num_birch_west_10m + lichen_shp.num_aspen_west_10m)\nlichen_shp['pct_aspen_east_10m'] = lichen_shp.num_aspen_east_10m / (lichen_shp.num_pine_east_10m + lichen_shp.num_spruce_east_10m + lichen_shp.num_birch_east_10m + lichen_shp.num_aspen_east_10m)\n\nlichen_shp['pct_aspen_30m'] = lichen_shp.num_aspen_30m / (lichen_shp.num_pine_30m + lichen_shp.num_spruce_30m + lichen_shp.num_birch_30m + lichen_shp.num_aspen_30m)\nlichen_shp['pct_aspen_north_30m'] = lichen_shp.num_aspen_north_30m / (lichen_shp.num_pine_north_30m + lichen_shp.num_spruce_north_30m + lichen_shp.num_birch_north_30m + lichen_shp.num_aspen_north_30m)\nlichen_shp['pct_aspen_south_30m'] = lichen_shp.num_aspen_south_30m / (lichen_shp.num_pine_south_30m + lichen_shp.num_spruce_south_30m + lichen_shp.num_birch_south_30m + lichen_shp.num_aspen_south_30m)\nlichen_shp['pct_aspen_west_30m'] = lichen_shp.num_aspen_west_30m / (lichen_shp.num_pine_west_30m + lichen_shp.num_spruce_west_30m + lichen_shp.num_birch_west_30m + lichen_shp.num_aspen_west_30m)\nlichen_shp['pct_aspen_east_30m'] = lichen_shp.num_aspen_east_30m / (lichen_shp.num_pine_east_30m + lichen_shp.num_spruce_east_30m + lichen_shp.num_birch_east_30m + lichen_shp.num_aspen_east_30m)",
      "execution_count": 45,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "7cff3b19",
      "cell_type": "markdown",
      "source": "Save to file."
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:39.204317Z",
          "end_time": "2021-09-29T12:49:41.044701Z"
        },
        "trusted": true
      },
      "id": "a18e693d",
      "cell_type": "code",
      "source": "lichen_shp.to_file('../data/lichen_with_plot_metrics_90deg_plotheights.geojson', driver='GeoJSON')",
      "execution_count": 46,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "c32edb41",
      "cell_type": "markdown",
      "source": "# Relations"
    },
    {
      "metadata": {},
      "id": "abaeddca",
      "cell_type": "markdown",
      "source": "All lines show least squares solution to $y = mx + c$, where `y` is the number of lichen species and `x` a single feature."
    },
    {
      "metadata": {},
      "id": "b64093f6",
      "cell_type": "markdown",
      "source": "## General"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:46.976323Z",
          "end_time": "2021-09-29T12:49:46.980721Z"
        },
        "trusted": true
      },
      "id": "96e813e3",
      "cell_type": "code",
      "source": "def make_scatter_with_fit(x:str, y:str, data, ax:plt.Axes):\n    data = data[[x,y]].copy()\n    data.dropna(inplace=True)\n    sns.scatterplot(x=x, y=y, data=data, ax=ax)\n    # fit y = mx + c with lstsq\n    # y = mx + c equals y = Ap, where A = [[x 1]] and p = [[m], [c]]\n    A = np.vstack([data[x].values, np.ones(len(data[x].values))]).T\n    m, c = np.linalg.lstsq(A, data[y].values, rcond=None)[0]\n    ax.plot(data[x], m*data[x]+c)",
      "execution_count": 47,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:49:59.344589Z",
          "end_time": "2021-09-29T12:49:59.739638Z"
        },
        "trusted": true
      },
      "id": "a5961521",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='DBH', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='DBH', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='DBH', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja DBH')\n\nplt.show()",
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:50:00.165848Z",
          "end_time": "2021-09-29T12:50:00.557559Z"
        },
        "trusted": true
      },
      "id": "373963ca",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='H', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='H', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='H', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja puun korkeus (m)')\n\nplt.show()",
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:50:01.149122Z",
          "end_time": "2021-09-29T12:50:01.526694Z"
        },
        "trusted": true
      },
      "id": "c9dc51bc",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='pH keskiarvo', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='pH keskiarvo', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='pH keskiarvo', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja pH-keskiarvo')\n\nplt.show()",
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:50:01.717848Z",
          "end_time": "2021-09-29T12:50:02.110057Z"
        },
        "trusted": true
      },
      "id": "183472c2",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='Harjanne leveys KA', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='Harjanne leveys KA', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='Harjanne leveys KA', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja harjanteiden leveys (mm)')\n\nplt.show()",
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:50:02.252999Z",
          "end_time": "2021-09-29T12:50:02.646707Z"
        },
        "trusted": true
      },
      "id": "e0be3415",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='Urasyvyys KA', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='Urasyvyys KA', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='Urasyvyys KA', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja urien syvyys (mm)')\n\nplt.show()",
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T12:50:02.861494Z",
          "end_time": "2021-09-29T12:50:03.274954Z"
        },
        "trusted": true
      },
      "id": "be9a960b",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='Ura leveys KA', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='Ura leveys KA', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='Ura leveys KA', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja urien leveys (mm)')\n\nplt.show()",
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "id": "67232918",
      "cell_type": "markdown",
      "source": "## 10m plots"
    },
    {
      "metadata": {},
      "id": "8673cf7a",
      "cell_type": "markdown",
      "source": "### General"
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:14.793973Z",
          "end_time": "2021-09-29T13:02:15.284951Z"
        },
        "trusted": true
      },
      "id": "5503e68b",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='ntrees_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='ntrees_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='ntrees_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja puiden lukumäärä (kpl)')\n\nplt.show()",
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:15.286756Z",
          "end_time": "2021-09-29T13:02:15.834479Z"
        },
        "trusted": true
      },
      "id": "51285c2a",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='ca_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='ca_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='ca_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja latvuspinta-ala (m²)')\n\nplt.show()",
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:15.836330Z",
          "end_time": "2021-09-29T13:02:16.333366Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='mean_h_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='mean_h_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='mean_h_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja koealan puiden keskikorkeus (m)')\n\nplt.show()",
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:16.335401Z",
          "end_time": "2021-09-29T13:02:16.818287Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='min_h_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='min_h_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='min_h_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja koealan puiden minimikorkeus (m)')\n\nplt.show()",
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0QAAAEpCAYAAACz7OKDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAB/cklEQVR4nO3deXhTVf4G8Dd717S0FCggCJVCR8GyCQooVhkdRUHmJyCCOriwKSqidHABQYQqI4rCoDKo4wKCIsiigIKAG8qmOOyVnbIVSumW9f7+KAlZ7k1u9qR5P8/jI01yz/3e7fSc5uaNQhAEAURERERERHFIGekCiIiIiIiIIoUTIiIiIiIiilucEBERERERUdzihIiIiIiIiOIWJ0RERERERBS3OCEiIiIiIqK4xQkRUR3UunVrLF261P5zQUEBZs+eHfL1Hj16FK1bt8bmzZt9Ws613nDatGkTWrdujRMnTuDNN99Er1693F7j+PiQIUPw7LPPym7ftu/l7hvHegIRrmPujdQ+jWZyjnEsbJc/15Wv57fcdoLVrqtgXS+hsmrVKtxxxx2wWq0BtfP2229j9OjRQaqKiFypI10AETkrLCzEiRMn8P777/vdxvfffw+9Xm//+bPPPkNCQkIQqqt72rdvj++//x6ZmZkYOnQo7r33XrfXOD7+5ptvQq2W33Xa9r1Op8P333+P9PR02fVQZPh6jKOVaz8gR7C2va7sw0CYzWa88sorKCwshFIZ2N+f77vvPtx4443YvHkzOnXqFKQKicgmvnsrojoqKyvL6eeMjIwIVRL9tFqtfX8lJycjOTnZ7TWOj3ub0ACAyWSCWq2GQqFw2veux8VbPRQZco5xLPDnPArWtodjHxqNxpCvIxBr1qyBwWBAQUFBwG0lJiaid+/e+O9//8sJEVEI8JY5ohizbNky3H333ejYsSO6dOmCRx55BAcOHHB6jbdb5sxmM958800UFBSgbdu2uP3227FgwQK3Nj7++GM8/fTTaN++PW644Qa8++67PtUqdZtYr1698Oabb0out3TpUrRv3x4rV66U3Ubr1q3x4Ycf4oknnkB+fj569uyJr7/+GhcuXMBTTz2F9u3b46abbsKqVauc2pk+fTpuvfVWXH311ejZsycmTJiACxcu2J8vKyvDU089hRtuuAHt2rXDLbfcgvfeew+CINhfU1hYiAceeAAffvihfZ9WVVVhw4YNGDx4MK655hp06tQJgwcPxu+//+5xn7neAiQIAp577jncfPPNaNeuHW666Sa89tprPg8Gf/zxR3Ts2BHz5s0DAJw6dQpPPvkkOnXqhHbt2mHIkCHYsWOH0zKHDh3CY489hk6dOqFz584YOnQo9uzZY3/+/PnzGDt2LHr27GnfN/PmzXPaN66OHDmCRx99FN27d8fVV1+NO+64A0uWLHF6je32qlmzZqFbt2645pprUFhYiKqqKo/b2Lp1a3zwwQd47LHHkJ+fj+7du+O9995ze43rbWQPPPAACgsL3dZvYzQaMWHCBHTs2BGdO3fGhAkTRPf/ihUr0KdPH7Rt2xYFBQWYOnWqU82BbJc/57brtsq5psVudRs/fjxmzJiBa6+9Fp06dcKMGTNgtVrx1ltv4brrrkPXrl0xY8YMj+242rVrF7p3746XX34ZgiCgoqICL7zwArp27Yq2bduiX79++P777+2vt/UDX375JR5++GHk5+e7rRMArFYrJk2ahOuvvx579+4FAPzxxx8YOnQo2rdvj65du+LRRx/FsWPH7MuI3f64efNmtG7dGkePHgUAVFRU4J///Ce6deuGq666CjfccAOmTp0quX1AbV994403QqVSua1r5cqV+Otf/4qrr74aI0eOREVFBVavXo1bbrkF7du3x+jRo536IQC4+eab8e2336KiosLjeonId5wQEcUYo9GIkSNH4osvvsB7770HpVKJYcOG+TRAfu6557B69WpMmjQJK1euxKhRozB9+nQsWrTI6XWzZs1C586dsXTpUjz44IOYPn06fv7552BvkpO5c+di8uTJmD17Nm677Taflp0zZw5uuOEGLF26FD179sS4cePw5JNPolu3bliyZIn9sXPnztmXSUxMxEsvvYQVK1bg5ZdfxqZNm/DSSy/ZnzcYDGjdujVmz56NFStWYOTIkZg5cyYWL17stO7ff/8dP//8M2bNmoWlS5dCp9Ohuroa9957Lz799FPMnz8fzZs3x0MPPeS0fm8EQUBmZib+9a9/YeXKlRg/fjwWL16MOXPmyG7jyy+/xKhRozBx4kQMHToUgiBg1KhR+PPPPzFnzhwsWrTIfsvg2bNnAQBnzpzBoEGDkJGRgY8//hiffvopWrRogfvuu8/+GqPRiNzcXMyaNcu+b9588023feOoqqoK1157LebOnYtly5ahf//+GD9+vNt5tWrVKpw/fx7//e9/MX36dHzzzTeYO3eu122dNWsWrrnmGnzxxRd4+OGH8eqrr2L16tWy95WY6dOnY/Xq1SgqKsKCBQuQlJSEjz/+2Ok1ixcvxsSJE/GPf/wDK1euRFFREX788UdMmDAhKNvlz7ktxp9retWqVTCbzfjkk09QWFiIOXPmYNiwYaiqqsLHH3+McePGYc6cOVi/fr3X7QCAn376CUOGDMH999+P8ePHQ6FQYPz48fj+++/x6quvYsmSJejQoQOGDx+O4uJip2WnT5+O3r17Y9myZRg0aJDTcwaDAY8//jh+/vlnLFiwALm5udi/fz+GDBmC/Px8fPbZZ/jggw+gVCoxdOhQGAwGWfUCwOuvv47//e9/mD17NlavXo0ZM2YgJyfH4zK//vor2rVr5/b46dOnsWTJEsycORPvvvsutm7ditGjR2PRokV444038O6772Lz5s1u13i7du1gsViwZcsW2XUTkUwCEUWVcePGCffff7/s1587d07Izc0VNm/ebH8sNzdXWLJkif3nG2+8UZg1a5YgCIJw+PBhoXXr1sL+/fud2nnzzTeFO++806mNyZMnO73mlltuEaZPny5Zy5EjR4Tc3Fzh119/Ff3Z5uabbxZmzpzptK4vvvhCmDx5stCtWzdh586dkm16auOll16y/1xaWirk5uYKkyZNsj9WVlYm5ObmCmvXrpXchtWrVwtXXnmlYLFYJF8zefJk4YEHHrD/PG7cOKFjx45CRUWF5DKCIAgWi0Xo1KmTsHTpUsnX/Pzzz0Jubq5QUlIi+Zr33ntP6NWrl8d12Y753LlzhQ4dOgjff/+9/bkff/xRyM3NFfbt22d/zGAwCN26dRPefPNNQRAEYebMmcLdd9/t1KbVahVuuukm4b333pNcr+u+mTlzpnDzzTd7rHX48OHCs88+a/958ODBQu/evZ1e8/zzzwv9+/f32E5ubq4wduxYp8fGjBkjDBw40Ok1jteGIAjC/fffL4wbN85p/ePHjxcEQRAqKyuFq666Svj000+dlrnrrructuvGG28UPvnkE6fX/PLLL0Jubq5QVlYW8Hb5c267bquca9px220/O/YLgiAIt912m9t23HHHHcK0adM8tjN+/Hhh2bJlQn5+vvDFF1/Ynzt48KCQm5srfPfdd05t9u3bVygsLBQE4VI/8NZbbzm9xna97NmzRxg0aJAwYMAA4dy5c/bnx40bJzzxxBNOyxgMBqFdu3bCmjVrBEEQP0d//fVXITc3Vzhy5IggCLXnqOM54s358+dFt2nmzJlCXl6eUFpaan9s4sSJQps2bZwemzx5snDXXXe5tdu5c2fho48+kl0HEcnDzxARxZhdu3bhrbfewq5du5z+Gnz8+HF07NjR6/J//PEHBEHA//3f/zk9bjabnW7tAIA2bdo4/dywYUOcOXMmgOqlvf7666ipqcGiRYtw2WWX+dWGY70ZGRlQqVRo3bq1/bG0tDRoNBqUlpbaH1u9ejU++OADHDp0CJWVlbBarTCZTDh9+jQaNmwIq9WKuXPnYsWKFThx4gSMRiNMJhOaNGnitO6cnBy3zx8dOXIEM2fOxPbt21FaWgpBEFBdXY3jx4/7tF0LFy7EokWLcOzYMVRXV8NsNnu8Lc1xudLSUsyfPx9XXXWV/fF9+/YhPT0dV1xxhf0xrVaLdu3aYf/+/QCAHTt24H//+x/at2/v1GZNTQ0OHToEALL3jaPq6mrMmjUL69atw+nTp2EymWA0GtGlSxen1+Xl5Tn93LBhQ/zwww9etzk/P9/p5w4dOmDjxo1el5Ny+PBhGI1Gt/3QsWNHfPfddwCAs2fP4tixY5g2bRpeeeUV+2tsx+jQoUP2dwr83S5/zm1v7djW7+2adl2mfv36qF+/vtNjWVlZXte9ceNGLF68GLNnz8aNN95of9x2zrl+NqZTp07Yvn2702Ni77gAwCOPPIImTZrg/fffdwqQ2bFjBw4dOuR2/AwGAw4ePOixXkeDBg3C6NGj8ccff6Br167o0aMHevToIRmWUFNTAwDQ6XRuzzVs2NDps4W2/en6eUPbO7GOtFqtvW0iCh5OiIhiSHV1NYYOHYqOHTvi5Zdftn9o+vbbb4fJZJLVhm2QNn/+fCQmJjo9p1AonH7WaDRuz8sZiNtIDRbMZrPbY9deey2++uorfPXVV3jkkUf8akMs1cr1Mcdt+O233/D444/jkUcewTPPPAO9Xo/ffvsN48aNs+/PefPm4e2330ZhYSGuvPJKJCcn4/3333e7Pch1XwLA8OHDUa9ePbzwwgvIzs6GRqPBoEGDZB8rAPjqq68wadIkPPXUU+jcuTNSUlLw9ddfi35+wlV+fj42bdqEzz77DFdeeaXT8XU91kDtuWF73Gq1omvXrnjhhRfcXpeamgpA/r5x9Morr+Dbb79FYWEhWrZsicTEREybNs3tcxGBnnuO2+StHbFzyZXY/rKxRSo/++yzbhM7AGjUqJH93/5ul6/nthR/1i+2Htd2AHiNlm7VqhV0Oh0WLlyIbt26QavVeny94/loI3adAbWfk1y8eDG2bduGa6+91qmmPn36OPUpNrbgBznnRI8ePbBu3Tp8//33+OWXX/DMM88gNzcX77//vtsfkgCgXr16UCgUOH/+vNtzcvanQqEQ3Z/nz59nSA5RCHBCRBRDiouLcfbsWTz55JP2+9e3bt3q00DxyiuvBACUlJQ4/ZU2FGy/uE+dOmV/rLS0FCdPnnR7bdeuXXHXXXdh2LBhMJlMGDVqlM9t+GrLli2oV68ennzySftjrh9M37x5M3r06IG7777b/pjtHRJPzp07h/379+Odd95Bjx49AAAnTpzw+ld0V5s3b0ZeXh7+8Y9/2B9z/EC4J7m5uRg1ahQeeOABmM1mTJ48GQqFAq1atbLXZ3uXyGg0YseOHbjnnnsAAFdddRW++OILNGzYUDKy3Z99s3nzZtxxxx32z4dZrVYcPHjQ7R0Hf/32229O0enbtm1Dy5Yt7T9nZmY6nUtGoxH79+9H06ZNRdtr1qwZNBoNtm7d6vSO2rZt2+z/rl+/PrKzs3HgwAH0798/KNtRFzVq1Agvv/wy7r//fjz66KN46623oNVq0apVKwC158YNN9xgf/2WLVvc3lGTYnuHaPjw4Zg1axa6d+8OoPY83rNnD5o1ayY5qc3MzERpaSksFot9crNz506316Wnp6N3797o3bs3+vXrhwEDBmD//v1O79TZaDQatGrVCvv27cMtt9wiaxu8OXjwIIxGo9O7vUQUHAxVIIpCVVVV2LVrl9N/xcXFaNy4MbRaLT788EMcPnwYP/30E6ZMmeLxr9eumjdvjr///e94/vnnsWTJEhw6dAi7d+/GZ599hnfeeSeo25GQkIAOHTpg7ty52L17N/744w8888wzkn8ZvuaaazB37lz85z//weuvv+5XG75o0aIFzp49i0WLFuHIkSNYsmQJPvnkE7fX/PLLL/j5559x4MABzJgxA7/99pvXttPS0pCRkYFFixbhwIED2LZtG8aMGePz90G1aNECe/fuxTfffIPDhw/jgw8+8CkkoFWrVvjwww+xfv16/POf/7S/89OuXTs89dRT2LJlC/bu3YtnnnkGBoPBPiEaPHgwLBYLRo0ahc2bN+Po0aPYvHkzZsyYga1bt/q9b1q0aIFvv/0Wv//+O/bv34/nn3/eaYISqO+++w4fffQRDh48iA8//BBfffUVHnjgAfvz1157LRYsWIBt27Zh7969KCws9PiOXVJSEgYOHIjXX38d3377Lf7880+88sor+PPPP51e98QTT+DDDz/E7NmzsXfvXvz555/45ptvRN9hi2cNGzbEhx9+iGPHjmHEiBGoqalBs2bNcOutt+LFF1/Exo0bUVxcjJdeegn79u3Dgw8+KLvtBx98EE899RRGjhxpv53RFswwduxY/P777zhy5Ah+/vlnvPTSSzhy5AgAoEuXLqipqcEbb7yBw4cP46uvvnILzZgxYwZWr16NP//8EwcPHsSyZcuQlJSExo0bS9Zzww034Ndff/V9J0n45Zdf0KRJE/sEkoiChxMioij022+/oW/fvk7/jRo1ChkZGXj11Vfx448/4vbbb0dRURHGjRvn85f+TZ48Gffffz/mzJmD22+/Hffffz+WLFni92d3PHn55Zftg8oxY8ZgwIABHr8fpWPHjnjvvffw0UcfYfr06X61IdeNN96I4cOHY8aMGbjjjjuwYsUKPPPMM06vGTlyJDp37oyRI0di4MCBKC8vx5AhQ7y2rVQq7QOsO++8E4WFhbj//vt9rnvAgAHo06cPxo8fj759++L333/HY4895lMbLVu2xEcffYSff/4ZTz/9NKxWK2bNmoWWLVti2LBh+L//+z+cOXMG8+bNs78jV79+fXz66adIT0/Ho48+iltvvRVPP/00jh07Zt8Gf/bNP//5TzRp0gT33XcfHnjgATRs2DBof0G31fTjjz+iT58+ePvttzFmzBjceuut9ufHjRuH3NxcPPjgg3j44YfRqVMntG3b1mObY8eOxc0334xnnnkGd999Ny5cuOD2Bb59+/bF66+/jvXr1+Puu+/G//3f/+HNN99EgwYNgrZtdUVWVhY+/PBDnD59GsOGDUN1dTWmTJmC7t274+mnn0afPn2wdetWzJkzx2uSm6v77rsPhYWFeOyxx/DNN98gJycHCxYsQFVVFR588EHcfvvteP7552EwGOy3frZs2RKTJ0/GihUr0Lt3b3z++ecYM2aMU7tarRYzZ87E3//+d/z973/Hnj178O6779rbEDNgwABs3rwZJSUlvu8kEV9++SUGDBgQlLaIyJlC8OembCKKWkajEW3btsWsWbNw8803R7oc8tHGjRvx0EMP4ddff4Ver490OTGldevWeOWVV9CnT59Il0IEABg/fjySk5M9fieTHL///jtGjBiBVatWISUlJUjVEZEN3yEiqkPKy8uxbNky++dEKLacOnUK33zzDbKzszkZIqoDnnrqKWRlZXkNnPDmzJkzePXVVzkZIgoRTojIJ7fffjs2bdoEoPYbt8eOHSv6Ok/PzZkzx++/lg0ZMsTty0PpkqlTp+K1117DU089hebNm0e6HPLRoEGD7J9viEe+9A3B6gs2bdqE66+/PuB2iMRkZmbikUce8fm2ZlcFBQW47rrrglQVBQP7jrqFKXNxqKCgAC+99JK9c12xYgUmTpxo/4Z3T1asWBHw+ocPHx5wG6HWunVrrF69OuYmFVOnTo10CRSAb775JtIlyLZ582ZMnz4d+/btg0qlQsuWLTF+/HjJ74mRI9C+Yc+ePQEtH0pvvvkmDh06ZP9cHBFJKygowKlTp7BhwwanmPE+ffpg9+7d+PbbbyWTIeVavHgxFi1ahPnz5wdabkix7wgPvkMU57744gtMmjQJb7/9ttfJEBERAFRUVGD48OEYPHgwfvnlF2zYsAGPPvpoUJL/iIgAoEmTJk5/hN2zZw+/lJZChhOiOPbpp59i2rRpmDt3Ljp06ACg9lvZ77vvPnTp0gVdunTBU089hfLycvsyBQUF+PHHH93aMplMGDNmDB577DEYjUaPz3m6ne78+fMYNmwYunbtis6dO2PYsGE4ceKE6Gtd2zl69Chat25t/0K9CxcuYPz48ejevTt69OiBGTNmwGKx2F//2Wef4W9/+xs6d+6MBx980P7dLrb0qD59+qB9+/ZYuXKl131JFE8OHDgAAOjduzdUKhUSEhLQvXt3tGnTxut1efLkSQwfPhzXXHMNevXqhYULF9pf67rs9u3bMXDgQHTq1Al33nmn/XZdV97W+fnnn+Nvf/sb2rdvj5tuugkLFiyQ3LbWrVs7fZdSYWGh05fgrlu3Dn369EGnTp0wcOBA7N692/7cyZMn8dhjj6Fr164oKCjAf//7XwDAhg0b8Pbbb+Orr75C+/btceedd3rYu0QE1P4OXrJkif3nJUuWoG/fvk6vcb11dvHixfavDnDtBxxfX1xcjAkTJmD79u1o3749OnXqJFoD+474wQlRnJo/fz7eeOMNfPDBB06Rs4IgYNiwYdi4cSO++uornDhxAm+++abHtmpqajBq1ChotVq8/vrrTn8l9vScGKvVin79+mHdunVYt24ddDodJk2a5Nc2jhs3Dmq1GqtXr8aSJUvwww8/2DvOb775Bm+//Tbeeust/PTTT+jYsSOeeuopALB//8TSpUuxbds2+xdIElGtFi1aQKVSYdy4cVi/fj3Onz8ve9mnnnoKjRo1wsaNGzFz5ky89tpr+Omnn9xed/LkSQwbNgwjRozAL7/8gnHjxmH06NE4e/asz/VmZmbi7bffxtatWzF16lRMnToV//vf/3xu53//+x/Gjx+PSZMmYdOmTRgwYABGjhwJo9EIq9WKESNGoHXr1tiwYQM++OADfPDBB9i4cSOuv/56DBs2DH/729+wbds2fPnllz6vmyje5Ofno6KiAsXFxbBYLFi5cmXQJgQ5OTl48cUXkZ+fj23btmHz5s2ir2PfET84IYpTP/zwA66++mrk5uY6Pd68eXN069YNWq0WGRkZ+Mc//uHxi+UqKirw0EMPoVmzZpg6dar9W769PSelXr16uOWWW5CYmIiUlBSMGDHCry+2O3PmDDZs2IDx48cjKSkJmZmZeOCBB+xvvy9YsACPPPIIcnJyoFarMXz4cOzatcv+LhERSUtJScEnn3wChUKB559/Htdeey2GDx+OM2fOeFyupKQEW7ZswdixY6HT6ZCXl4e7774bS5cudXvt0qVLcf311+OGG26AUqlEt27dcNVVV2H9+vU+19uzZ080a9YMCoUC11xzDbp16yY5APJk4cKFGDBgAK6++mqoVCrcdddd0Gg02L59O3bs2IGzZ8/abx287LLL0L9/f77DTBQA27tEP/zwA1q2bImGDRuGdf3sO+IHQxXi1IsvvojZs2fj2WefxcsvvwyFQgEAKC0txUsvvYTNmzejsrISgiB4jP/97bffYDab8a9//cvehpznpFRXV2Pq1KnYuHGj/a/OlZWVsFgssiZUNsePH4fZbEb37t3tj1mtVmRnZ9uff/nll1FUVGR/XhAEnDx5Ek2aNJG9HqJ4lZOTg2nTpgEAiouL8fTTT+Pll19GixYtJJc5deoU0tLSnKKDGzdujD/++MPttcePH8fXX3+NdevW2R8zm83o0qWLz7WuX78es2bNwsGDB2G1WlFTU+P2xyA5jh8/jiVLluCjjz6yP2YymXDq1CkolUqcOnXK6dYbi8UieSsOEXnXp08fDB48GEePHo3I94ux74gfnBDFqczMTLz//vsYMmQIJk6ciBdffBEA7JOXL7/8EvXq1cM333zj8Za1bt26oXXr1njggQfw4Ycfon79+rKekzJv3jwcOHAACxcuRFZWFnbt2oW+fftC7PuDExMTnT5g6fjX6UaNGkGr1eLnn3+GWu1+mmdnZ2P48OG8H5coCHJyctCvXz98+umn+Mtf/iJ5XTZo0ADnz59HRUWFfVJUUlIi+lff7Oxs9OnTR1YEuae+wGg0YvTo0SgqKsJNN90EjUaDkSNHivYptraqq6vtP58+fdpen63fGDFihNty27ZtQ9OmTbF69WrRduX+UYiILmnSpAmaNm2K9evXY8qUKW7Pu16vjtd+UlISgNpb9239zenTp+3Pe7sm2XfEF94yF8caNmxov0/15ZdfBlD7bkxSUhL0ej1OnjyJuXPnem3n4YcfRu/evfHAAw+43d/v6TkxlZWV0Ol00Ov1KCsrw1tvvSX52ry8PPz66684fvw4Lly4gLffftv+XIMGDdCtWzdMmzYNFRUVsFqtOHz4MH755RcAwMCBA/HOO+9g3759AGoDGL766iv78vXr18eRI0e81ksUj4qLizFv3jx74ElJSQmWL1+Oq6++2uN1mZ2djfbt2+O1116DwWDA7t278dlnn+GOO+5wW8edd96JdevWYePGjbBYLDAYDNi0aZNoyIqndRqNRhiNRmRkZECtVmP9+vX44YcfJLetTZs2WL58OSwWCzZs2OB0y+7dd9+NBQsW4LfffoMgCKiqqsJ3332HiooKtGvXDikpKXjnnXdQU1MDi8WCvXv34vfffwdQ+0eoY8eOBfwFnUTxZsqUKfjggw/sExxHeXl5WLNmDaqrq3Ho0CF89tln9ucyMjLQsGFDLF26FBaLBZ999pnT7/XMzEycPHnSLQjKhn1HfOGEKM5lZ2fjgw8+wKpVq/Cvf/0Ljz76KHbu3IlOnTrhkUcewV//+ldZ7YwaNQo33XQT/vGPf6CsrEz2c67uv/9+GAwGdO3aFQMGDECPHj0kX9utWzfcdtttuPPOO9GvXz/ceOONTs+/8sorMJlMuO2229C5c2eMHj3a/tehXr164aGHHsKYMWPQoUMH9O7dGxs2bLAv++ijj6KwsBCdOnXifbxELlJSUvDbb7/h7rvvRn5+Pvr374/c3FwUFhZ6vS5fe+01HDt2DD169MCjjz6Kxx57DN26dXNbR3Z2NmbPno23334b1157LW644Qb85z//ER0UeFpnSkoKnnvuOTzxxBPo3Lkzli9fjoKCAslte/bZZ7Fu3Tp06tQJy5Ytw80332x/rm3btpg8eTImTZqEzp07469//SsWL14MAFCpVPj3v/+N3bt346abbkLXrl3x3HPPoaKiAgBw6623AgC6dOmCu+66y4e9TRTfmjVr5hT+5Oj++++HRqPBddddh3Hjxrn9cWXy5Mn4z3/+gy5dumD//v1o3769/bmuXbviiiuuQPfu3UVvxWXfEV8UgtR7f0RERGH0xhtv4MSJE/yCYSIiCiu+Q0RERBEnCAKKi4sD/vZ5IiIiX3FCREREEXfXXXfhxIkT6N+/f6RLISKiOMNb5oiIiIiIKG7xHSIiIiIiIopbnBAREREREVHc4oSIiIiIiIjiljrSBQTDuXOVsFpD81GozMwUlJZWhKTtUInFmoHYrDsWawZCV7dSqUC9eslBbzdcQtmXALF5vsRizUBs1h2LNQPsT6RwbOIuFuuOxZqB2Kw7lDV760/qxITIahVCOogJZduhEos1A7FZdyzWDMRu3aEU6r7Eto5YE4s1A7FZdyzWDMRu3aHEsYm4WKw7FmsGYrPuSNXMW+aIiIiIiChucUJERERERERxixMiIiIiIiKKW5wQERERERFR3OKEiCjYFEB5tQmHT1eivMYMKCJdEBHFLPYnREQhVydS5oiihgLYdfg8Zi7cDoPJAp1GhdH985HXLA2IvbAXIook9idERGHBd4iIgqi8ymQfvACAwWTBzIXbUV5linBlRBRr2J8QEYUHJ0REQVRWYbQPXmwMJgvKKo0RqoiIYhX7EyKi8OCEiCiI0lN10GlUTo/pNCqkJ2sjVBERxSr2J0RE4RG2CdHIkSNx5513om/fvhg0aBB27doFADhw4AAGDBiAW265BQMGDMDBgwfDVRJR0OkT1RjdP98+iLHd869P0kS4MiKKNexPiIjCI2yhCkVFRUhNTQUAfPPNNxg/fjy++OILTJgwAYMGDUKfPn2wdOlSvPDCC/jvf/8brrKIgksA8pqloWjkdSirNCI9WVs7eOEHoInIV+xPiIjCImzvENkmQwBQUVEBhUKB0tJS7Ny5E7179wYA9O7dGzt37sTZs2fDVRZR8AmAPlGDZvWToU/k4IWIAsD+hIgo5MIau/3ss8/ihx9+gCAImDt3LkpKStCwYUOoVLW3A6hUKjRo0AAlJSXIyMgIZ2lERERERBSHFIIghP3vTUuWLMGKFSvw+OOPY9y4cVixYoX9udtuuw2vvvoqrrzyynCXRUREREREcSYiX8zat29fvPDCC2jUqBFOnjwJi8UClUoFi8WCU6dOITs726f2SksrYLWGZl6XlZWK06cvhKTtUInFmoHYrDsWawZCV7dSqUBmZkrQ2w2XUPYlQGyeL7FYMxCbdcdizQD7Eykcm7iLxbpjsWYgNusOZc3e+pOwfIaosrISJSUl9p/Xrl2LtLQ0ZGZmIi8vD8uXLwcALF++HHl5ebxdjoiIiIiIwiIs7xBVV1fj8ccfR3V1NZRKJdLS0jBnzhwoFApMnDgRhYWFmD17NvR6PYqKisJREhERERERUXgmRPXr18fChQtFn8vJycGiRYvCUQYREREREZGTsMVuExERERERRRtOiIiIiIiIKG5xQkRERERERHGLEyIiIiIiIopbnBAREREREVHc4oSIiIiIiIjiFidEREREREQUtzghIiIiIiKiuMUJERERERERxS1OiIiIiIiIKG5xQkRERERERHGLEyIiIiIiIopbnBAREREREVHc4oSIiIiIiIjiFidEREREREQUtzghIiIiIiKiuMUJERERERERxS1OiIiIiIiIKG5xQkRERERERHGLEyIiIiIiIopbnBAREREREVHc4oSIiIiIiIjiFidEREREREQUt9ThWMm5c+fwzDPP4PDhw9BqtWjevDkmTZqEjIwMFBQUQKvVQqfTAQDGjh2LHj16hKMsIiIiIiKKc2GZECkUCjz00EPo0qULAKCoqAjTp0/Hyy+/DACYOXMmcnNzw1EKERERERGRXVhumUtPT7dPhgAgPz8fx48fD8eqiYiIiIiIJIXlHSJHVqsV8+fPR0FBgf2xsWPHQhAEdOzYEWPGjIFerw93WUREREREFIcUgiAI4Vzhiy++iJMnT+Ktt96CUqlESUkJsrOzYTQaMWXKFFRWVmL69OnhLImIiIiIiOJUWCdERUVF2LNnD+bMmQOtVuv2/J49ezBixAisXbvWp3ZLSytgtYZmM7KyUnH69IWQtB0qsVgzEJt1x2LNQOjqVioVyMxMCXq74RLKvgSIzfMlFmsGYrPuWKwZYH8ihWMTd7FYdyzWDMRm3aGs2Vt/ErZb5mbMmIE//vgD77zzjn0yVFVVBYvFgtTUVAiCgJUrVyIvLy9cJRERERERUZwLy4Ro3759mDNnDi6//HIMHDgQANC0aVMUFhbiscceg8VigdVqRU5ODiZMmBCOkoiIiIiIiMIzIWrVqhX27Nkj+tySJUvCUQIREREREZGbsMRuExERERERRSNOiIiIiIiIKG5xQkRERERERHGLEyIiIiIiIopbnBAREREREVHc4oSIqK5RAOXVJhw+XYnyGjOgiHRBRBSz2J8QURwI2xezElEYKIBdh89j5sLtMJgs0GlUGN0/H3nN0oDQfGE6EdVV7E+IKE7wHSKiOqS8ymQfvACAwWTBzIXbUV5linBlRBRr2J8QUbzghIioDimrMNoHLzYGkwVllcYIVUREsYr9CRHFC06IiOqQ9FQddBqV02M6jQrpydoIVUREsYr9CRHFC06IiOoQfaIao/vn2wcxtnv+9UmaCFdGRLGG/QkRxQuGKhAFm6L23vuyCiPSU3XQJ6rD9wFkAchrloaikdehrNKI9GRt7eCFH4Amik3sT4iIQo4TIqJgioZUJgHQJ2qgT9TYfyaiGMT+hIgoLHjLHFEQMZWJiIKF/QkRUXhwQkQURExlIqJgYX9CRBQenBARBRFTmYgoWNifEBGFBydEREHEVCYiChb2J0RE4cFQBaJgYioTEQUL+xMiorDghIgo2JjKRETBwv6EiCjkeMscERERERHFLU6IiIiIiIgobnFCREREREREcYsTIiIiIiIiilthCVU4d+4cnnnmGRw+fBharRbNmzfHpEmTkJGRgQMHDqCwsBBlZWVIT09HUVERLr/88nCURUREREREcS4s7xApFAo89NBDWLVqFZYtW4bLLrsM06dPBwBMmDABgwYNwqpVqzBo0CC88MIL4SiJopkCKK824fDpSpTXmAFFpAsiopjEvoSIiGQIyztE6enp6NKli/3n/Px8zJ8/H6Wlpdi5cyfee+89AEDv3r0xefJknD17FhkZGeEojaKNAth1+DxmLtwOg8li/yLCvGZpjJslItmsVoF9CRERyRL2zxBZrVbMnz8fBQUFKCkpQcOGDaFS1X4Lt0qlQoMGDVBSUhLusihKlFeZ7AMYADCYLJi5cDvKq0wRroyIYknJmUr2JUREJEvYv5h18uTJSEpKwuDBg7Fz586gtJmZmRKUdqRkZaWGtP1QiMWaAaDKaLEPYGwMJguqTBbkNIvOdw1jdV/Hat2hFOq+BIjN/R6LNe/Yfzrm+hIgNvc1ELt1hxLHJuJise5YrBmIzbojVbPsCdHu3bvx8ssvY/fu3aiqqgIACIIAhUKBP/74Q1YbRUVFOHToEObMmQOlUons7GycPHkSFosFKpUKFosFp06dQnZ2tk8bUVpaAas1NPdAZGWl4vTpCyFpO1RisWagtu4knRo6jcppIKPTqJCkUUXlNsXyvg5F3UqlIiyTilAJZV8CxOb5Eos1A0CGPjGm+hIgdvc1+xNxHJu4i8W6Y7FmIDbrDmXN3voT2bfMjRkzBh06dMBHH32ElStXYuXKlfjqq6+wcuVKWcvPmDEDf/zxB2bNmgWtVgsAyMzMRF5eHpYvXw4AWL58OfLy8vj5oTimT1RjdP986DS1t1Ha7vvXJ2kiXBkRxZLs+snsS4iISBbZ7xCdOXMGjz/+OBQK32N69u3bhzlz5uDyyy/HwIEDAQBNmzbFrFmzMHHiRBQWFmL27NnQ6/UoKiryuX2qQwQgr1kaikZeh7JKI9KTtbUDmLr2IWhF7eelKqpN0GnVqKwxITlBA4PRjJQkLfSJas/bfHH5sgoj0lN13l9PFGeUSkV89CUAoAAqasworzajxmBG/bQEKBXA2XKDvP6B/QkRxTnZE6K+ffti2bJluPPOO31eSatWrbBnzx7R53JycrBo0SKf26Q6TAD0iRroEzX2n+uUi0l6H329C726NMena/baU7AG9MrFmk2HMPjWPOk0LCbxEclT1/sSAFAAxccv4OjpCixw6EsG3dIGy74vxoVKk+f+gf0JEZH8W+YeeeQRvPHGG7j99ttx3333Of1HRPLZkvR65De1T4aA2g98f7pmL3rkN/WYhsUkPiKyKa8yofh4uX0yBNT2CZ+s2o2Cjs289g/sT4iIfHiHaPTo0WjatCl69eoFnU4XypqI6rSyCmPt4EMB0RQs2+NllcZLf9kWW95lOanXE1HdVVZhhFUQJPsS27/ZnxARSZM9Idq1axc2bdpkD0QgIv+kp+qcPujtmoIFofb/6cni15ptedflpF5PRHVXeqoOSoVCsi+x/Zv9CRGRNNm3zHXq1AnFxcWhrIUoLtiS9DZuO4oBvXKdJkcDeuVi4/ajHtOwmMRHRDb6RDVyGusx0KUvGXRLG6zdcthr/8D+hIjIh3eImjZtiqFDh6JXr17IzMx0eu7xxx8PemFEddbFJL1xgzuiosaEl4ZdeyllzmRGh1YdPadhxUsSHxF5JwA5jVPRMCMRrZrVu5gyV/uuUfNGKd77B/YnRETyJ0Q1NTXo2bMnTCYTTpw4EcqaKNIYwRp6LulXmSm221O09ufltgO5UfgOx9UoKKBVylwPzwcKBM+f0BOAFJ0aKTrnX+n2n4Pdn7gc00xfvnyU5wMRRSHZE6KpU6eKPm40GoNWDEUBRrBGP3+Okb/HlecDBYLnT/Tz9RiJvP7Jezogt0mq92PK84GIopTszxBNmTLF7TGDwYARI0YEtSCKLEawRj9/jpG/x5XnAwWC50/08/UYib1+xvytso4pzwciilayJ0R79uzBzJkz7T9XV1fj4YcfRv369UNSGEWGpwhWig7+HCN/jyvPBwoEz5/o5+sxCuSY8nwgomgle0I0e/ZsbNy4Ee+99x6qqqrw0EMPoVmzZpg2bVoo66Mwc4yEtmEEa3Tx5xj5e1x5PlAgeP5EP1+PUSDHlOcDEUUr2ROilJQUvPvuu1i8eDH69u2LNm3a4KWXXoJC7ge6KSYwgjX6+XOM/D2uPB8oEDx/op+vx0js9U/e00HWMeX5QETRSiEIguRHGd944w23x06ePIn169ejf//+9sciHbtdWloBqy8pNz7IykrF6dMXQtJ2qARcsy0FKMwRrHViXzvsu+QEDQxGM1KStMFPUlICpeVGlJbXIFOfgEy9FrA6PC+W5IRLtTXKTIFWKfiWMifjfFAqFcjMTAl48yIllH0JUEfOcV+xP5HNqeZw9SWA7/1JkhrllZeOaYum9VBaWiFvXexPgiIWz28gNuuOxZqB2Kw7lDV76088psxJxWtff/31jN6uy1wioZn+I5NIgtKAXrlYs+kQBt+aF7wkJQWw65CHpCYPSU6245qVlSK/0+H5QIHg+eO7cPUltnUF0J8AtQMN2Xg+EFEU8jghkoraJiJ3YglKn67Ziz7X52Dmwu0oGnndpUFAkNfj2L6354kouoWrL5FaF/sTIoo3HidER44ckdXIZZddFpRiiGKZVIISFJeSlIIxgPCU1KRP1Hh9noiiW7j6Ek/rYn9CRPHE44SoV69eUCgU8PAxIygUCuzatSvohRHFGluCkuPgQadRAUJwk5Sk1mNr39vzRBTdwtWXeFoX+xMiiiceU+Z2796NXbt2Yffu3ZL/cTJEVEssQWlAr1xs3H40qElK3pKamOREFNvC1ZdIrSuU/YnVKmDDb8dxoYrfPURE0cNjypyvOnTogK1btwarOdmY5OIsFmsGZNYtlp4m+PC8vyTazcxMwYGj50TTl5ITNDCYzEhJ0HhO1vKnZm9JTV5So4Kyr0UwFcqzWLw2Y7FmIMr7Ezk1u6bMhaovcVlXqPqTXYfO4tX52+0/d8jNwqP92npchv2JtDp9XUaZqK7ZwzXvNj4Jcf8VDFGbMuerIM6tiNx5SDvyloYUUCcg1W7zNPy0owQz5m+VTF8CLt5W4mEA41fNnpKavKVGBbLNwUy3IoqkSPUncrle46HqS8TWFcT+ZNrHW7H3SJnTY0oF0LNDU0DhYXuIyDNP1zwgOT7hNSdO9hezysEvaaVQkko7Kq8yyXo+2OstLTfaOxt/1xeKmoPRZqj2JVG0iFR/Eirh7v88tVtWYcDQaWsxdNpat8kQAFgFYNbnv0ftviSKBZ6uzfIqU8Djk3gT1AkRUSh5SjuS83yw11taXhPw+kJRczDaDNW+JIoWkepPQiXc/Z9Yu7MW78DQaWsx5q0fnB6//7Y8t9dG874kigWers1Y67+iQVBvmSMKpUilIUm1m6lPCHh9oag5GG0yWYrqurqWrhbu/s/WrtlixR1PLRVd9p2ne0KtUqK8xowFa/bGzL4kigUer02FIqb6r2gQ1HeI+BkiCqVIpatJtZup1+LJezoEtL5Q1ByMNplUR3VdXUtrDHf/99MfJRg6bS0eefU7p9fnNa+HeYUFmFdYALVKGdLaiOKZp+tKn6gOeHwSb4KaMrd582Z06tTJ7fGioiKsWrUKx44dw7Jly5CbmwsAKCgogFarhU6nAwCMHTsWPXr08Hm9THJxFos1Az6mQkmlIXl73l8S7dpTXAJZXyhq9tJmUPa1CKZCeRaL12Ys1gxEeX8SSM2ehKH/mzh3k+hLJg29Bk0beLj22Z8EVZ2+LqNMVNfs4boKyvgkzGIiZe7IkSN4/fXXsWvXLlRVVTk999133wGA6GQIAG666Sbcd999uPfee92emzlzpn2CRGEW5kjZoPCUhuTt+Yvbe6bcgESdGqlJGqToVPK2WaJdpVLhuR5vXI+BLbZb6mexYyRxHAOqy8M2E4mKt/4k2njrSxJrf937EzO+/+h5vPzhFtHVzisskDeIiaV9SRRu/o5PPFxXAY9P4ozsCdHYsWNx2WWXYdy4cUhMTPRpJVITJYqgSEfKhpvI9g7slYumWSnIaZwamW0WqWl4v7ZY+M1elJRWif7sdozi7ThSdOJ5GFky+pLR/fOhVSsx/ROJGF6RNlw/lG1zY4cmGPLX1uHdRqK6KhrHJ3FI9meI9u3bh1deeQU33HADrrnmGqf/AjF27FjccccdmDhxIsrLywNqi+SLtUjZQIlt74I1e1F8vDxi2yxW05zFO9Ajv6nkz67HKN6OI0UnnoeRJacvmblwO4qPl/sUM+7qtUe7YV5hASdDREEUjeOTeCT7HaLOnTtj586duOqqq4K28o8//hjZ2dkwGo2YMmUKJk2ahOnTp/vcTqjvMc7KSg1p+6HgreYT+0+LRjJWmSzIaZYRytI8CtW+ltpeqyAEvM3+1ixVExSef3asN5DjGIvndaiF4/MKsbjf2Z+Ejz81y+1LrC4fGXY8RlNe+07yHaFl/+oTkrrrOo5NxMVi3aGsORrHJ5EUqZplT4iaNGmCBx98EH/9619Rv359p+cef/xxv1aenZ0NANBqtRg0aBBGjBjhVzv84KIzOTUn6dSikYxJGlXEtjeU+1pqe5UKRUDbHEjNUjU5vj0u9rNjvf4ex1Dta34I2jP2J+FTV/e1GLl9idLly9N1GhXGz/5Rsl2dRoWikdd5rYn9iTiOTdzFYt2hrjkaxyeREslQBdm3zFVXV6OgoABmsxknTpxw+s8fVVVVuHChdqMFQcDKlSuRl+f+5W0UGvEWgyq2vQN75SKnsT5i2yxW0/B+bbFx+1HJn12PUbwdR4pOPA8jS05fMrp/PnIa6+2vAcRvi9OqlU7L8BgShVY0jk/iUVBjt6W89NJLWL16Nc6cOYN69eohPT0dc+bMwWOPPQaLxQKr1YqcnBw899xzaNCggc/t868wzkRrFksPQngjZb1xqzsYqVUubSgVwKmyGiTo1NAnqpGSEFgSVkDnhwKoqDGjvNqMGqMZ9VN10CdrUF5ZmzSToFNfPCYCzl4wSB8jx3YMZtRPS/C6r/gXXXF8h8id7JrDHFHtTZ3e12KUQGm5EaXlNcjUJyAzTYvyCue+ZPRr6yUXn1dYYD+GFTUm6DRqVNaYkJ7ive9lfyKOYxN3sscnURQkELKao3l8EiExEbsNAMXFxfj6669RWlqKF154AX/++SeMRiPatGnjcbnnnnsOzz33nNvjS5Ys8WX15C8PCVBRG8kYjNQqOW1EapslatMnp+HYmSrpmiXqPXKqkglfFFmMVY4cBbDrkHt/olUr8erHW2A0W0UXe/a+jshpnHbpAQHQJ2ku9kG/sj+h0IvFhMq6Pj6JU7Jvmfvqq69w77334uTJk/aJTGVlJaZNmxaq2ihIYjEBKhg1R/N2S9VWWm70ueZo3k4iCj2xPmD6J1sw5YNfRSdD8woLMK+wwHky5KEt9icUKrF4vtX18Um8kj0hmjlzJt577z1MmjQJKlXtfY5t2rTB7t27Q1YcBUdZhVE0waSs0hihirwLRs3RvN1StZWW1/hcczRvJxGFnlgfIHUz/MSHuvjcFvsTCpVYPN/q+vgkXsmeEJ09e9Z+a5ziYlKNQqGw/5uiV3qqzumDtEDth/bSk7URqsi7YNQczdstVVumPsHnmqN5O4ko9E6dq5L1Ojn9AvsTCqdYPN/q+vgkXsmeEF155ZVYunSp02MrVqxAu3btgl4UBVcsJkAFo+Zo3m6p2jL1Wp9rjubtJKLQGTptLYZOW4vZi3e4Pff0vR3x7P2dfe4X2J9QOMXi+VbXxyfxSnbKXHFxMR588EE0bdoU27dvR5cuXXDgwAHMmzcPl19+eYjL9IxJLs48JqJESQKUGMmUuUBqDvF2B5oyJ1qbPzX7uAxTocQxZc5dLNYMxGbdcmoWBAEPFq0TfW7ATVcgr0XmpT4AfvZ/7E+CgmMTd7E4PglZzdE8PomQmEiZy8nJwVdffYV169ahZ8+eyM7ORs+ePZGcnByUQinEwpkAFawITbk1O8ROWywWJOk0TnGxPm233Novvq5k32lo1UoYjGakJGndX++pPant8+dYiS0T5VGmRHWej/3Jif2nkXQxctf1dePf+RknzorfGjevsMD9wYvL+9Xvsz+hcKqr4xNbjH21CTqtGgaT2S3OPpTbbbUKKK/mNSuXT7HbiYmJuO2220JVC9UF4Y7QVADFxy/g6OkKrN50CL26NMena/b6t265tYu8bkCvXKzZdAiDb8279PpIxonGYpQpUV0SQH/i+Lqh09ZKruLpezuyPyGSK5zn8cV1ffT1LvTq0hxrAh2f+LH+n3aUYMb8rbxmZfL4GaIHH3zQ/u9Bgwbh3nvvFf2PyCbcUZLlVSYUHy/HgjV70SO/qb2z8WfdcmsXe92nF9fv+PpIxmoy0pMosgLpT17/dBuGTl3rcTIEgP0JkQ/CeR7b1mUblwQ6PvFn/bbJUDjWVxd4fIeob9++9n/ffffdoa6F6gBPUZL2t4WDvD6rINSuU4GA1i23dqnX2dZve32494WjSK6biALrT0wi3x008cEumPifTV7bCwX2J1QXhPM8tq9LgaCMT/xef5jWVxd4nBDdcccd9n/fddddIS+GYp8tStLxQgxllGR6qg5KhcIpqcXfdcutXep1EJxfH+59IadGRnoShYcv/YmUv9/QErdfezkAoLzGzP6EKADhPI8dY7WDMT7xd/28ZuXzeMvckiVL7P/+7LPPJP9bunQptmzZEupaKQaEO0pSn6hGTmM9BvbKxcZtRzGgV67f65Zbu9jrBvTKxcbtR51eH8lYTUZ6EkWWt2tw9hc7MHTaWjzx+ga3ZZ++tyPm/bPAPhmS014kt4UoFoTzPLatyzYuCXR84s/6n7ynA69ZH3iM3X744Yfx7rvvAgCGDBki2YggCDhy5Ai6dOmCV155JfhVesFoS2cRr9nPKMmsrFScPnPB9wQYkZQ5sTQXWelvcmu/+LpKowValRIGkxkpCRr318tpL1TpTR7WzZhccYzddheLNQNBrtvfa1TkGhw6VfpzQS+PvA5JGpXXfof9SWzg2MRdxOv2Y3xir9nXa8uWMldjgk7jkjInY3wR6DWcmZmCA0fPRW2cuZiojd22TYYA4MMPP/S4ourqanTv3t3H8qhO8jNC02oV/EuAEYAUnRopuounswLYdbgaMxf+Kt6Ol6QZWbVffF1Os4yLF69W/PXe2gtl6k2AUabVBjPWbj2Kpd8fhNlixcCCK/DXa5oFWBRRjAnkGr14DVrMVjzxxkbRl0wfeR0y9AkAHAYDXvqdWOxPiKKCv+exP9eW67oujhMyUyTGC/6uR4JSqeA16wOPt8xJEQQBVqvV/h9QG8m9Zs2aoBZH8aXkTGVQEmC8JclEU2JSNNVSbTBj2Q8H8PAr6zB02lqMmrEBn6//E2ZL7TWuUvnVXRDFtECu0aHTapPinpr1g9tz8woLMK+wwD4ZinStRCQtXNcWr+HIkf09RCdPnsSkSZOwefNmlJeXOz23a9cuAEBGRkZwq6O4cra8OiipKN7SVaIpfSWStVTVmPHN5iNY+sMBSN04261tI/S+9nI0zEgKaS1E0cqfa1QqLrtjbhZG9Wsb9BptoqlvI6pLwnVt8RqOHNkTogkTJiAhIQHvv/8+Bg8ejI8//hhvvvkmbrjhhlDWR3EkQ58YlFQUb+kq0ZS+Es5aqmpMWP3rEXz5w0HJ13Rvl43e1zZHg3qcABEB8q/RxRuKsfzHQ6JtzCssCGmNNtHUtxHVJeG6tngNR47sCdG2bduwbt06JCUlQaFQoE2bNpgyZQoGDhyI/v37h7JGihPZ9ZMxun++272zvn4Q0JbuItWOt+fDKZS1VNaYsPqXI1j240HJ11x/dTZuv/ZyZKUnBrYyojrK2zXq6ctTwzURsommvo2oLgnXtcVrOHI8psw5uvbaa7F+/XpotVoUFBTgs88+Q0pKCrp06YJt27aFuk6PmOTizK3mUKUOBZlTylygqSjekmSUQGm5EaXlNcjUJyBTrwXcvwvRY9sV1SYkJ+tQWW1CjcGM+mkJzvtW7n73NfVGot2KahNW/3pY8q/UANAzvzFuu7Y58q5o4F9qjhdMhfKsTvQnMSIkKXMXr1GtWoGR/3KPywaAF4deg8sa+HANOFyDjeqnQKsUAuufg9Sf+MLvFC4v2J9IqxPXZSyNTRzP71CntgUyPrFRACZBgdNl1e7jkyje71GbMufo6quvxvr169GrVy90794dTzzxBBISEtC2bejuh6YgCGXqUCgEK8nIUzsKYNchP/fJxf350de7cEePljAYz2PBmr3u7cCH/e7LNrscT5VSAYuHX7g3tm+C27o2R2aayAe3Y+3cIIqUi9eoVFIc4Oe7QaG4BgPoTwJaP/sT8kUsni/hSFoMZHzi0Ebx8Qs4errCfXzSPC3w9uso2bFRr7zyCjp37gwAGD9+PLp27YqWLVvisssuC1lxFDgmlrgLZJ/Ylu2R3xTllSZ7Z+PaTij2e3mlER+t3otXP95ib9d1MlTQoQmmj7zOnmA15JbW4pOhAPcDUTyxpcW5ymmit19r/oj0NRjM9Ud6Wyi28HwRF4z9Ul5lQvHxctHxSWm5kftdgux3iPR6vf3fCQkJGDlyJAwGA/Lz8zFlypSQFEeBY2KJu0D2iX1ZBWAVBMl2ICDg/X6+0oivNx3Cql+OeH3txIe6oFn9ZFnt2vDcIJL20x8n8O7ynaLP/WfcjVAoFAGvI9LXYDDXH+ltodjC80VcMPZLWYVRcnxSWl7D/S5B9oRIjEKhgMyPIFGEMLHEXSD7xLYsACgVCul2PD0n4XyFAV9tOozVv0pPgG5o3wQ/7SiB0XzphmJ/jyfPDSJ34QxJiPQ1GMz1R3pbKLbwfBEXjP2SnqqTHJ9k6hO43yUE/E2LwfgrGYWOLbHENoh3SiyJU4HsE9uyG7cdhT5Zg4G9ckXbkbOOsgoDPvlmr/12nCff+sFtMvTXzpdhxqPd7Lfl3H9razw+oH1QjifPDaJaFqtV8ra4cYPaB3RbnCeRvgaDuf5IbwvFFp4v4oKxX/SJauQ01ouOTzL1Wu53CV5T5n766SfJ50wmE4YNG2b/YlYpRUVFWLVqFY4dO4Zly5YhNzcXAHDgwAEUFhairKwM6enpKCoqwuWXX+7zRjDJxZlkylyok1ECFNZ9Hcg+saXM1ZiQnOSQMqfXObfjsg6LxYqVPx3Ct1uOSjZ9a5dmuPWaZtB7+mtNEI5nqFJzmArlWZ3oT2KEnLofeXUdzBbx4x22yGyHa7BRZhBS5gJYP/uT4OLYxJ1oyhzHJs6CsV9cU+YcxydRvN+jOmXu2Wef9fh8dna21yJuuukm3Hfffbj33nudHp8wYQIGDRqEPn36YOnSpXjhhRfw3//+12t75KNwJKP4wuFiTE7QoMpgglqlglmhQFW1QxRkkhrllSLRkK6RkRdfd6bcgESdGqlJGqToav/6UVFjRnm12Tl2Er7FYVdUm6DTqlFeZUSCtrb92neBNMjMTMGh42UAgDPlBkChsLd39nwNVvx8COu2HpPcFTd1bIoOrRugSYMU+dGXwTye0XZuEAWJ1SqgvFr8Ope6LS5Jp8ZbT14fxirhdA1mZaWEf5DL/oQiJRrPF5HxyclyA5IT1LXjCk+x1RJjE1tbBqMZKUna2tcrHKK10xKQmaoFBOflm2Ul17braXxSY4JarcL5CgMy9BfbuXhHvSAAsFqRlqyt/Wyzw/jE9o5QWYXz4077IApjuUPJ64Ro7Vrp+6nl6tSpk9tjpaWl2LlzJ9577z0AQO/evTF58mScPXsWGRkZAa+TopRI1OaAXrlYs+kQ/n5jK3y+bh9KSquQnZmE/jfnYs7iHV4jI4f3a4uF3+xFSWkVdBoVBvbKRYtsPUxmq2jspFatxPRPtnqOnHSI1+7VpTk+dWhjYK9cNM1KQU6TVGzedRKHT1xKc1EqFR7/ItjlykYYdPMVSE3S2vfDt1uOMvqSKJgUwE87SjBj/qXrvM/1LbHw232iL5/7zI1QKnn7N1Fc8zA++WuX5vbf+6Kx1TLGJra2hvVti3MVBqfxzYi/t0OyTu19bOJQp9j4ZHi/trj6igzsOij+vNfobcRgHHqQBPwZIn+VlJSgYcOGUKlq/5KvUqnQoEEDlJSURKokCgOxSMlP1+xFj/ymeHfpH+iR3xQA0CO/qb2zsL1OKjJyzuId9uUMJgsWrNmLKoNFMnay+Hi518hJx3jtT13aWLBmL4qPl2Pf0XJ8vGo3Pli5y/6862RI5TLI2r73NAQoGDlKFELlVSb7ZAiovb7EJkO2zwZxMkREnsYntt/7UrHVcsYmtraqDBa38c2/P/9d1tjEsU6x8cmcxTtwqswg+by36O14HpsElDIXLUJ9j3FWVmpI2w+FaK35xP7TopGPUFz6P4BLP7u87myFQXJ5x5+rDWbJ2Emry8fmDCYLqkwW5DS79M6kvU6JOhas2eNxO18eeR0gAOP//aPouqRiuV3rCKVoPUciKRyfV4jF/R5rNZfsO+V2fdk8M6QTeuQ3CXNF8sXavraJ1bpDiWMTcdFat7fxiVUQJMcgcscmUADVBrPfYxOnOqXGSeUGj8+fk6g13scmEZsQZWdn4+TJk7BYLFCpVLBYLDh16pSszyS54gcXnUVzzUk6tWjkI4RL/3d83PV1GSnikZSuyyUmqCVjJ5UuyYg6jQpJGpXTPkvSqaFVK/HL/05IbosCwJUtM7H38Dm3GOwkjUoyetvbc+E4dqE6R/ghaM+i+dqUEks1vzp/G3YdOif6nE6jQtHI66BP1ETt9sTSvnbE/kQcxybuorlub+MTpUIhOQaROzaBACQmiK9HztjEsU7ba9xq0es8Pl9Pota6PDYBvPcnEbtlLjMzE3l5eVi+fDkAYPny5cjLy+Pnh+o4sUjJAb1ysXH7UTzc5yps3F6bwLZx21EM79dWVmTk8H5t7cvZPuOTpFVJxk7mNNaLRk6ePFeF/yzfiaHT1uKJ1zfAaLbiYEm5U/0qpQL39MrFs/d3xn/GF+Cunlfgnr+29jl6m5GjRMFji8z2NBni9UVEnnganwzslYucxnrJ2Go5YxNbW0laldv4ZsTf20mOTaTq3LjtKAa4jHGG92uLBuk6yee9RW/H89jEa+x2MLz00ktYvXo1zpw5g3r16iE9PR0rVqxAcXExCgsLUV5eDr1ej6KiIrRs2dLn9j3+FSbAtAzJ2Wo4Ujhc0k6cEkoEkdddrKVFk3SUllb4vj6lSOqJVeK1iksJbhaLBUk6DSprTEhP0TkludkS2iprTPZt0KfoYLVYUVZpRIJOjaoaMzRqJbLqJaKm2iEKMkWD0vMX69EnIDNNi/IKh/1hMiMlQQN9ssaeMpegU0OfqEZKQm0NTilzttjJi7XtP34eP+84gc27T4luokqpwK1dmqFdbn2kJiWgqsaEpITatlMSao+BLWXObR0OaS1SSXf2x41m1E/VhTX6kn/RFRexd4iiONUnWv+ie+JsFca/87Poc3OeugHZjdJw4Oi5qIyWleL3vo7w+cP+RJzX/iSA4xbR69KlbqUCOFtucN8Gke3Lqu9H3VK/RyXS1/wdm6Qkae3JcKUXDEi6OM7QamoT5my/953GSvoEZOovJcTZ024T1UhJdEmZs41ZkjTOKXMubbj1WWLnycXtOF9lhEatQkW1CfVSdZfGbQrAaFXgTFkldJra7XRtU3KfRjCWO6pjt4Phueeew3PPPef2eE5ODhYtWhS6FYskhgQlLSNU7XpZhy2hZPCteZfWJfK6J+/pgNwmqb7VogR+Kz7rlHoyvF9bXJ2T4T4pUgDFxy/g6OkKrN50SDTFRKtWYt7y/7k957gNWrUSUz/42a1ufWJtZ7HroOfEltH989E4IwmwukR3AvZtT9GpkaKrPc1LSiuxYM1e/LzzpOguUKsUEATAYhU8JtI1Sk+wt69UKpzW4bhumyOnKt3OFbF29RcTXijOhKM/qUOkIrMB5+8OUioV0RfpGwo8f2JTrB43kboH9srFih8P4EKlyWtaWWaGjxNch/GGa2KsWDpssMYmjr+fn7ynAxqlpV4ac4kktEml1zqPTS5+v+DFKO3MFC0yUy4+dnGc5dZnSZ0nzdNw7EyV+/5NubSOJg1SoFXU7iDHx23Exia2fRoXfaeLiN0yFw6hSssIRwqHp7QTx3WJvW7G/K0+11JabnRLPZmzeAdKy42itdkS3KRSTIqPl4s+57gNrokqjnWLbZdrYou3fb7n8Dk8/Mo6++00z767yWkypNUocXfPHMwecz1ef7wHVEolLBf/mudLIp0nUudKoO1S3RHPqT6+sF3Hrh68Pc+eFhePeP7Eplg9bmJ1L1izFwUdm8lKKys5U+nz+qQSY8XSYSMxNgnl73Sp9XlKiguk3Wg//0KpTqTMSSmrMIqmZZRVGp3fTYiSduWsw5YaYltXsGopLa8Rbae0vObSXxYcarMnuEmkmFgFQfI5x8QWqbo9bb/Udu46dA7TF2yD1E2gOq0Kfbq1wI3tm0CnVTk9d+p0pfR2SNQoh9R2BNou1R3h6E9i1cJ1+/H1psOiz8XrBMgVz5/YFKvHzdvvZts2SKWVnb1QjUb6BJ/WJ5UY67qvIjk2CdXvdKn1SY3Z5K4zVs+/UKrTE6L0VPEkjfRkrYelIteunHXY0k5s6wpWLZlpCaLtZIp0XLX3DCs8ppgoFQpYBcFrYosjOdvl+NatRqXExLmbPG5X5zYNcP+tbZCU4PlUl1qfpxrlCFW7VHeEoz+JNXJviyOeP7EqVo+bt9/N9m2QSCvLSE2EL/dgOY43vO2rSI5NQvU7XWp9mXrxMZvcdcbq+RdKdfqWuVClZYQjhcNT2onjusRe9+Q9HXyuJTNV65Z6Mrxf29oP+onUZktwk0oxyWmsF33OcRtcE1Uc6xbbrr9d2xwLv91rr8NkcU986PqXhpj15PX2W2hG9L3K62RIan2eEunkClW7VHfEc6qPo/MVBsnb4t58okdc3xbnCc+f2BSrx02s7oG9crF2y2FZaWXZ9ZN9Xp9UYqzrvorU2CSUv9Ol1ucpKS6QdqP9/AulsKTMhZqslDk/0zK8pkIFmsIhlTKjcE4hS0vWwmyxQK1UXUpMSRJPMGnRtN6llDlfUmzEklMc5xyuqXdmM5QKFcwWMxK1mkspJskalFeZcLqsBul6Lcxm4NyFGmSkJkCpEqBVqqBSK1FlMMNgsqKqxoSM1AS0yE5DyZkL9tST0+eq8PaSPzzuvk55DTD0tjZI0Ko9b6en/XDxuYoaE9RqFc5XGJGRqpOV+lJltCBJpxY9FjqN2i1Vz94GIpfiAjic10FOp6rzqVABCnl/EgKhTrMKybtBtoSlc5X2JCl7ylSo92uwk8PktBfh84cpc+Jkp8z5cdzCkjInkW7mlJCq10GlUuJ8pcktSdUtdS3BJWVO7rXimogmkubq2I5KpcD5SpNzypwPY5MLVSYYTBZoNSpU1ZjRJCsFCSq4r0/id7pYap1fYxMbqbGZpzoqjGhUPwValeA8NnFMK0b0/d4J1dgEiJKUuYgKVVpGMNr1kB7immIydlAHGM1W+2PZmUnof3OuUyqcLXVNqVR4bl8qxcYqnnoi1ZZjKkvTzOTa5RwSWJo1SsEtXS7Hu0v/sC8zvF9bZKUl4NiZKlTVmJxSY27p2hxfbvzT4y7r1rYROv2lkX27d+wvxbEz1U77xm07Pe0HiG/X+8v/Z0/z85b6InYsbPumV5fm7smAF/d9xFNcYjXlqC6Kw1QfqYlQj6sb4x+3tfF/H1w8rz/6epdoylRIz+9gX1Ny24vD86dOiObjJnLuuY5DfHnM8XeuVPuS14oA6TRXGe34MjYpPn4BX/90wHPfIXHc9EkaHDtThakfbPY4TpM1NnHcPpFUO9E0OMgfm0iOb6JBhMYmdfqWuWjnS3pI8fFyp8d65Dd1S4VzTQgJZoqIP6l3fW+4wt7h2JaZs3gHLAJw7oIBn6za4/Sc2GRIqVDglZHX2W+Xubugldt2u+4b1+30tB/kbpenfSF2LD51SLnx1FYkMWWGwm3Db8clb4uz+WXnyYDOQdt5LZUyFcrzO9jXFK9RihSxc0/sd63cx0I1PpHbjtyxySerdvvdd8gZG8gdm/izn3wZm0RzPxKpfq/uv0MUxXxJD3FLWZFISSmrvBSTHcwUEX9S72oMFtFlJrwr/mWKAJDTJA3Fx87bf7YKAqqMl9oQq8NbAo2n/SCVhOO6XR73hZfEGk9tRRJTZihcPE2AXAV6DtrPaw99ZKjO72BfU7xGKVLk/q6V+1ioxidy25EzNimvCqzvkDs28CUl2Jf95OvYJFr7kUj1e3yHKIJsKR+OHNNDHDkmpzi+1vVnx4QQqfb9SRGRaksq9Q4AzpZXwyV4xSOdRoXOf2nksV6xOqT2jVhNrs/L3S5HkstItOGprUgK5vlB5Mposki+G/SvUd0wr7AArz9xfdDPQcfzOtznd7CvKV6jFClyf9fKfSxU4xO57Ti+LjFBJbqMPkkbUN8hd2wgZ2zi6/b5sv5oHJMIggCzpfYz5Wq1Elq18/QkHPXW/VCFAIX0g4sh+AxRXrO0Sx9aDOZ9mF4+Q5TXLA17D5dh6Q8HsOvgOclmbu58GXpcnY0TZ2vcPkM04u/tUF1jwvsrdknXK/O+5kA/Q+T2uR8P+8LnzxBFgaysVJw+cyHo9+nW+Q9BBygsH4QOMl9rnvnZ79i+/4zoc24hCaG4VzyGP0Pktq9j5HN+DFUQF7NjEyBknyEK+vhEbjsOrwv4M0Qya7GNDf79+e8wmq3QqpW4//a/oFlWEgxGK4xmC46eqcKib/fBZLFCo1Kid/cWaFQvEWazFSaLFWaLFcfOVGHD9mOwWAWolAq0z82CPkkDs8UKk7l2ImG21L6+vNKEI6cuQBAAtUqBlEQtyioM9hJVSoX9C+hjRbD6PW/9CSdEXoSj0/GUYuYxmSxZY08PcVzWqeZgpg+5pMztPnQWG7Ydw76j50Vfnp6iwy1dm6FdqyxcqDReSkcRahNjqk0WGE1WVNWYkaHXoWXjdBw7VS6dJONpn7nuG9flPO0H1/S8i2l9HveVLWXOZEGSRuV0LJxS5uS0FQFuSS5BSpnhAMazujwhkrot7r5bWqNn+ybSC4YiIc2WMldWCZ1GfSllKhzXYbCTw6I4gdCGEyJxMT02AWT9rk1JVMNstuJshRFnyw1I1qmQoFXBZLHifIUR5yqNSNSooFUrYTZbkZisw9lzlTBbBJgsVlRUm1BRbYJapYRKqbg0ETDbBvmC/d+2Qb/54iTANmEwm60wXnyNxSJE2+VBMqmUCmg1SqiUSqhVCqiUSvTqchm6/qVRUPo9psxFO8eUEIVzTKU+RYP0ZC3KKoyAQgF9olo8EUQAJO9Nk5Ni4y3eUAGcrzRiy94z+OG34zhQUi66qvppCeiR3wTdr24MrUaJihozzObaDi8zrXYyVF5xaT1ZqTqn9Wi1KqQkqGG1CrBYLDBYBBw7Ww2jyQJ9ktYpLlIq4UWpVKC82owz5YZL8Z+OqTBJtbGbh09VOm2rPlEDfbIGpeVGVFSbodOqUVFjRmWNCQqlEucrDEhP0cFktkCffDFG2xZrqRQAq2vay8W3dhValFeZ8OeJitro0SQNUnQq3y9sh2OUkZZgX79PcZQObRgFBbRKyDs/qG4IQYzpoRMX8OL7v4o+N/HBLvLWE4pzUACaNEiBViEACkCjUjj1o0FZh9T+DEaf67ItQd8/ITgXyHeCIOC77cexdc8pmCwCLPZBvuD0DoHjOwFU9+Q01kOtUkKtVkKjqp0MqNVKqFUXf1YrYbUKMFqsSNSqodOqIAgCEnVqWAXAahVQL7X2D8galQIGsxXVBgsa1U9BghrQKJUu7SmgUimdY9H9HZs48rdfcVjOPqYSSRoMNU6IooXI274P97kKn6/bh5LSKp9vAwtkvaP756PNZXrsOngOS78/IPkOUMOMJPTpdjmu+UtD7DlamyrzxfpirPzxIB7pexWMJovT7W/D+7XFwm/2im8Pai9q260ud/RoCYPR4nRLncdb2RRA8fELOHq6wmkZ2ftMAfxWfNbptrchf2sDfbIWsz773f7Y/bfnwWS+gE9W7fb+VrrI+gb2ykXTrBTkNE6Vf4E7tJOarMHt17WQ3kYfj3O03XpDIRLk4y/1blCT+skYdEsbzFy4HRP/syny51mozvtA2g1W3+0v9gVRo9pgwYer9kS6jIAoAIfBdu1A3ioA5y8Y7H+rbdogBWlJWqhVSiQna2E1W6CyDc4vDtDt/1YpoVFfnBTY/+3cvn1gr1Fi37FyfPz1bvstacPuaov2rTIvfW2IyPn+yF1t8dm3l8Yiw+5qizWbDmLXoTLx2O7MFHy//Zj9d/Dfe14Bo1lwGgdI/m6XMzbxsoNd6x90SxukJKlRXmF0atN2q+LbSyRivj206dfYxEudsTY24S1zXoTrFpfyahPGzf7RKVlDp1Ghz/U5WPjtXvvPRSOvgz5RI/n6opHXIadZhuyaxdrxRqtWot+NrdD1Lw081nJXzyuwYM0ep8ektgcAjIICj7/2HfpcnwOlUoEvvtsvuj+Wbih2Ws62HT/vPCW6jJx9ZrIIeO7tn7xuw8BerT2uw9u+tbVp23dyOLbT/6ZcLN1QLGv9cmrxtpyveIuLZ5G6ZS6Q42+r2WK14uFXvhN9zb9GdUO9VF3YzjM5srJSUXz4bEjqCWQ7g9V3+ysUx4i3zImT05+cPFuF02XVou8QOE8Sav+qr7x4N0ikxyZSv8e8nV/BrLu0wij6e/ulYdfav09R7thq9IB8vPrRFrd6gUtjE9vvYKnxidg+kTM28USq/scHtMcbn25zelzu+CRYYxM5dUbL2ATgLXMxw1OstePPsqKkZRAEAX8cOItF64rd2rFpUj8Z17XLxqK1+50eN5qtsAqC11qsLnNtT9sD1KbS2V4jFdspFRdZVmEMKH67xigew+m6Dd7W4cjTfvElPtKpnWDFgcpcjuqGQI7//NV78Mmq3aLPuYYkRNt5Fqp6Amk30L47UNF2jOJdw4wkNMxIinQZknz9PRbO80vsK0oMptqvLrFNiOSOrWocvt5DcmwCeByfiO0TOWMTT6Tqrzaa3R6Xu55gjU3k1BlLYxNOiKKELS7RdZbs+JahWFyj6+ulYgkFQcCOP0ux9PsDOFDi+a8zWrUSr4zqVvuuSo0ZX2484LYepULhtRaly+eaPG0PAGToE+0RkbbYTrH9IRWpKbWMnH1mShRkbYO3dbjWJNWmL/GRru34cty91RJNsZsUOv4cf6nb4gb/NRcFHZoGbT2hFKp6Amk30vso0uun2OLr77Fwnl+ZaQmi68rUJ3itx3UskqBVOf0sNjaxtSE1DhDbJ3LGJp5I1Z+oVbs9Lnc9wRqbyGkzlsYm/B6iKKFPVGN0/3z7hECnqf0M0cbtR+0/j+6fb095EXu94/OCIGD7/jN48f1fMXTaWjxYtA6vL/rdaTJ0WYMUPPr3thg7qINTO48PaO9xPQN75SKnsd7jax7pexXSkjVOjw3v11ZyewAgu34yRvfPx8ZtR6FP1mBgr1yn5Qf0ysXG7UfdlrPVkNNY77aM3H2WmarF8H5tnZ4b8rc2aFw/yekxfbIGg25pI7kOb8fUdd/J4djO2s2HPW6jnDZ8WY7qBrnH/+S5KsnvDvrPuBsxr7BAcjLky3rCJVT1BNJupPdRpNdPscXX32PhPL/Efm8P79e2Ns3WQz2P3OU8Fhl2V1ss31gsWa9tbGL7HZwmMg6Q2idyxiaeiNU/6JY2qDaa3NrMaayXte+DNTbx1masjU34GSIvwnrPv0PKXIJOjbRkDQSrcCmG2jE1zeH1ZZVGpCVp8Oex81j6/QEcPlkh2nyzhino070F8q+oD4XjOx9eor8rqk3Q6dQ4X2FEgk4NfaIaKQnuSXSObajUl1Lmqg1m1EvVITNNi9IyY+3b2foEZKZdTJ27GFVthQCdWgWlAiivNkKrUaPaYIbJZEVqkgYV1Sakp+igUgJlF1xSTBS1Ud5GixUGkxXnKwzI0CegQT0dYJau03FbK2rMOF9lQlWNGVnpCbBYBZy7YIA+WYuqGjOSEtQwm2sT76zW2reWU5N1qK42Qp9yMXmu0ojUJC0MJguqasxomJmImhoLzpTXIC1Zh9QkNZK1EkkunhJaHOrOSNXZ1+8xYty1HYc2GmVKJLkEKB7u+Q9ERGO3PcQ3j5qxHtUG91tnVUoFlrx6p281e/sqgTAlm4lFy9uvnWDUICfK30Nyp1icsdGqwIkzFZ6XCXXtfuBniMTV1bGJfQwA779rXM+voNetBErLHcYVeu2lQAWX+m1jDUFhhcWiwLkLBmTodWiQoUPpOZc2hEvbnJyoQXKCGhAElFcZkajTwGixwmoVUFVjRuLF8ZrFLJH+qgQqjRZUVJlx7kIN6qUmIDVZjSS1zFQ3h/2fmqyBAgp7OxZBQGWV6dLXlEDk9/zFx85XGaFRq1FtMCErPRFWqxVnzhukx3Wu+89b3yOnXxFrS6zmEFw2/B6iAEV6ACOVvmG1Cti29wy+/OEAjpwSnwA1b5SKPt1b4OqcTOcJUIDrDkYCiacvMx18ax60aiWmf7LV/tzAXrn4ccdxXNe2sXtSS/M0FB+7gPOVBlyocv6y1+H92uLqKzIAT5kRMmrz9AWxjslvUv/2ug/D/CV1HMCIq9MTIheCIODBonWiz019pKv9cw1BqTkCSUIR+5JTf9bjbZkoSmISw/5EXJ0dmwB+n5MRr9uVzC+gtaWwAXAam9jGILsOSSdHHi+twqmyGrz9xaUxxcN9rkL9tAQ0a5DsV+KsnH3u+AXsfn9RdTD7HhlthfL88Naf8Ja5KFZeZbKfOEDtB82mf7wFQ6euxUNF6zDrix1Ok6EW2Xo8cXc7fDn9TswrLMCEBzq7vxsUwLpnLtyO8ipTULalR35T+4TD1v6na/aiR35TzFy4HcXHy52eW7BmL/recIV9cuFYU2m5EcXHy3HmvMHt+TmLd+BUmUGkIt9qc912x2UKOjazr1fq3972YbD2d7CPG9U9a7cetd9G62peYQHmFRYE/UPe0XBehqsGf9bjbZlo2H9EjurKOSm2HcXHy90eW7BmL4qPl7uNTWxjEKl9UV5lgkWAfTJke/7dpX+gymDxaX8F0rf0yG9qnwzJXdbfdYajrVBgqEKUsgoCvv+9xC19w3FCntNYjzu7t8BVLTKcJj3+TIBcBTv5w609ibQ02+NiCXU1BvEkuNLyGvvrxZ4/W16DBqm6gGtz3HbJ5Depf0u0I1mDh9d6Ek2JLRRdpEIS7ux2Ofr2aBnSdUfDeRmuGvxZj7dlomH/ETmqK+ek2HZ4SpFzZRuDSO0LCMCFapPo89VGs/+Jsy7r8dq3REFCbbSfM5wQRQmrVcCvu09h6fcHcOJsleTrNColXhl1HdKSQpvAEezkD6n2XH+2pciJJdQl6lSSiTIHL4ZFiD2f4ZA4E0htjtvuKflN6t9i7Xirwdf9HU2JLRR5VTVmPPr6BtHn5j5zI5TKwP94Ikc0nJfhqsGf9XhbJhr2H5GjunJOim2HpxQ5V7YxiOS+UCigUIm3l6hVB5Q467QeL8vYXuvr8QrmcY72c4a3zEWI1Srg5/+dwD/f/glDp63FQ6+sw9tf/s9pMpR7WRr639QKWnXtYdJpVHhiYHukheHkCXbyh2t7G7cddUuHcUyRy2msd0tA+WL9ftGklky9FjmN9aifpnN7fni/tmiQLv3ukNzaXLddKvlN6t/e9mGw9nc0JbZQ5Hy16RCGTlvrNhlSqxT22+LCNRkCouO8DFcN/qzH2zLRsP+IHNWVc1JsO8TS2mwpbK5jE9sYRGpf6BPVUAEYdpfzmOLhPlchSafyO3HWdT3eltm47SgGRDihNtrPmagIVSgoKIBWq4VOVztwHTt2LHr06CF7+Vj44KLFasWmnSfx5fcHcaqsWvQ1rS9LR5/uLdCmeb1LD/qRBhS0D6UFOYnIrb1kDcorHVLmFAJ0SqVbUkp6shZKpQJnLxikE9YupsTVmC2oMVpRXVObbFc/Tes5UEFGbZ7SUoxWBU6UVjjV5Zgy1yA9wXMiXCj2t4x2+CFocbEeqiB1W9ykodegaQP/jkvU9ideiNYdrhr8WY9Df+IxPTJM+88X7E/ExcLYJCCRHJ8Ek0Tqo1PKnE7lnKwnlaIpkTpZZbbgQqUZ5y4YkJ6iRWqSRjpx1tdaJdpwTdp0TJnLTNXJ70OC2fd4aSuSoQpRc8vczJkzkZubG/oVXRw4S0ZZB4nFasXP/zuJpd8fwJnzNaKvadOsdgLUupnDBMgxQjItAZmpWugTNZfur5RRp9UqoLw6CPGsAi6tW04ktLf1ubRXUW1GtdkKlUqJKoMJiToNTpZVw2QVLm13kgblVSacLTcgPVVnj4V02x8CkKJTI0WnBpIddwbk7QvH2i4u57j+w6cqa5dPUqOi+tL50yQrBc2yLqXEXLoPVgOkXWpe9Pg5RGkm6tRITdJc/IuS/GMtSoC9Qy+rMAIKRcgjjuNWmKOkxRw+eQET3/tV9Ll54wvs/UlppRGZqSKRtOHieo0FOdlNLMo1rDXIWY+n80UAmjRIgVYhiNcmp/YoOB8pALF2/Hy9nhTAsVMVOHGmMrjbF+j4xHU7UDtOrLj4VQTpqTpUVBlx/Fi507jMrW2p398CkKRSIUmvQkO98x0rPo/VPO1zl/GtwQroVGLbp3Nf1sv+DFq/GcXjk6iZEIWFAig+fgFHT1fIi0L2gdlixU9/nMCXPxxAabl4qlle83ro070Fci9LF29ECfxWfNYp7nl4v7a4OidD/iBGAfy0owQz5m8N3vZ5ikqEfxGzxccv4Mz5atQYLVi96ZBbHKQtLnvXwQDiHgONixRbfsDVOFNmwCerdge2f0XatsV65jRODfiduGiO6K0zIryfp320BXuPnnd7fNRdV6Fj6wbB6U9igcRxyMyIsncWQn2+8LqPbXX9+IVq+0I0PrGNE8W+PiMqxide6va7zTjup6LmM0Rjx47FHXfcgYkTJ6K8vDwk6yivMqH4eLnsKGRPzBYrNvx2HE/N+gFDp63FI69+h/e+2u00GbqyRQb+ObiD/Z79p+9pLz0ZQu07Q65xz3MW70BpudGnbbRNhgLZPtc2PUVK+hMDWXy8HOcra78zSCwO0haXHUhEY6ARj2LLHzlZaZ8M+dOmp7ZtsZ6BRlBGe7RlXRGJ/WwwWTB02loMnbbWbTL0ztM9Ma+woHYyhOD0J7FA6jiUnKmMcGXOQn2+8LqPbXX9+IVq+0I1PvH09RnRMD7xVre/bcZzPxUV7xB9/PHHyM7OhtFoxJQpUzBp0iRMnz5d9vJy7zE+sf+0ZJxilcmCnGYZostlZaXCZLbi218PY/7q3Tgr8Q5QhzYNcE+v1mhzuXg73uw7cVy0tnMVBrRpkSmrjRP7T/u8fYG0CUE8ytHT+mzHwfZaqTjIs+WGgLYl0H0htrw/548vtVkFIaBj5alt13azslL9Xkdd5cvnFfw9v/zZ71//dBCzPvvN7fHr85vg6SGdRJcJRn9iE83nitRxOHuhGm1zsiJUlbtQX5eh6Pt9Ec3nSKSEuj+JpX0eqvMzVOMT+3JROj7xWrefbYa6H5HTfqTO66iYEGVnZwMAtFotBg0ahBEjRvi0vNwPLibp1JJxikkaldMHuUxmK77fUYJlPx5E2QXxCVC7nEzc2a0FWjbWOz3u7wfCMiQiCeul6GS3maRTy9o+X3hqEzL3p2t7tvhKT3GQmXrx/SF3WwLdF2LLyz1//K1NqVAEdKw8te3YLj8ELc6XD0H7c375ut+lQhKmDeuKBvVqvzxVqr1g9Cf+1BxuUschIzUxquoO9XUZir5fLvYn4kLZn0T7dekqVOdnqMYnjstF4/hETt3+tBnqfsRb+5EMVYj4LXNVVVW4cKF24wVBwMqVK5GXlxeSdekT1chprBeNQk7UqrB261E8PnMjhk5bi2HTv8OHq/Y4TYbyr6iP5+/vZL8F7om7r3abDAUiM1XrFvc8vF9bZOrlx2zrE9V48p4OQY019BSV6G8MZE5jPdKSNRjYK1c0DnJ4v7bIStcFFNEYaMSj2PKXNUzGoFvaBLx/xdq2xXoGGkEZ7dGWdUWo9vO5Cwb7bXGubH2PbTLkSTD6k1ggdRyy6yd7WTK8Qn1d8rqPbXX9+IVq+0I1PvH09RnRMD7xVre/bcZzPxXx2O0jR47gscceg8VigdVqRU5ODp577jk0aNBAdhs+RVteTOEovWDEzzuO4/vfjqOyxiz60vat6uO+3lciTaeS1W5Q0mEcU+b0CbWDF9cPQLslm6hRXnkprSyrXiKqqo04c96ABJ0a+iQNUnQqj2kk9dMS7O14TGqRiJT0J2K2NsXFDLNZgAArdBo1zl0woF6qrva7gywe2pa7vx2WT07QwGA0IyVJK+/4OO4joxn1U3XQJ2tQUW1GRY0ZlTVmJCdooNMoUV1jcm5XTn0OKXMJOjX0iWp7ip7ksZZ7XkUo2jKe/qILwOdz39N+/3rTYSxct9/t8Xt65aJXp6ah608ciVwv9eslQ6sUZF0vEUvIEonNN1oUOHGmIrrSurz0o0ZrgDVHKJqb/Ym4UPYnUfkOkbc+QAHUWIDjpys8jk3EEiO9tRvU8YkSOFdhQmWNCQaTFU2yklFZbULpeZd+1ENct6x+MMDxidh+qjRacKHKjPOVBjRIT0S9FI1zn+/D2MTrPgvB+CSS7xBFfEIUDHI6HaPJgu+2H8eX3x9AlUF8AtQhNwt3drsczRpeun9R1sEJZ2qGyLqG92uLhd/sRUlpFXQaFR64PQ+JCRr8+/PfxeuRSCNxbSekyR8O2yGW4uJx3b7ub3+Oj4/JNQN65WLNpkMYfGse8pqnYdehIJwPITyvOIARF+7vIbIKAr7Y8CdW/HTI7bVatRJGszV8KTwi55vTee3v9RLu3zDRVItcsVizA/Yn4ur89xA5knMOK4C9xy5Ip+CKtDF2UAcYzdbwXRsiNTx5TwfkNpGR/hrssYavy3gbewSznwlRnxXXt8yFwy+7TmL4v9Zjwbf7nCZDnVpn4cWh19hvQ3m0X1unyZBc4UzNEFvXnMU70CO/qf3n85Um+2RIrB6pNBLXdkKZ/OG4HWIpLp7W7ev+9jdpxpfkmk8vpuXNXLgdpeXGoJwP0ZzGQoE5W16Dwrd/wkNF65wmQ3f1aIHXH+8BnUYFo7n2z3rhOu7ezmt/r5dwi6Za5IrFmokcyTmHvaXgirVRfLw8rNeGWA0z5m+Vtb5gjzV8Xcbb2COY/Uxd7LOiIlQh1OqnJUKjViL/ivq447rL/f7GdillFUbR1IyySqPTF32Fcl1QXPpZKmnEVk9ZhVHyNY7thGob3LZDIsVFat2+7m9/jo+nZaSSa2zbUVpeE5TzIZznFYXH+q1HMf3jLU6PXdkiAyP6XIWki9+Cfvh0ZUSOu6e+JZDrJdznajTVIlcs1kzkSM457O01Ys97G89EYjuCuWwwl/E29ghmP1MX+6y4mBC1bKzH22N7hqz9dIk0p/Tk4H94WWpdjm9RSiWN2OpJT9VJvsaxnVBtg9h2+LL/fN3f/hwfj8t42He16TMJQTkfwnleUegYTBb8Z/lObN5z2unx+25tjZ75TdxeH6nj7qlvCeh6CbNoqkWuWKyZyJGcc9jba8Se9zaeicR2BHPZYC7jbewRzH6mLvZZcXHLXKiFMzVDbF3D+7XFxu1H7T+nJWsw4u/tJOuRSiNxbSeUyR+O2yGW4uJp3b7ub3+TZnxJrhnQKxcbtx/F6P75yNRrg3I+RHMaC3l3oKQcQ6etxYh/rbdPhuql6jD1ka6YV1ggOhkCInfcvZ3X/l4v4RZNtcgVizUTOZJzDntLwRVrI6exPqzXhlgNT97TQdb6gj3W8HUZb2OPYPYzdbHPiptQBX/J/oBXONN9RBKVbClzCTo1stIToVEKtYlxUvW4pszpdfZ2fN4Gl6QRpQI4W26QlbBSUWNGpdECs9mKGqMFyYlqpOhc0tY8pc7IrdVlnymVCu81ejqmKuBUmQFnyw3I0OugVArQKlXuKXgB7kt78l+Qzyt+CFpcoH2JIAhY9uNBLNl4wOnxgg5NcM/NrdCoYVr09ScS601O0MBgMqN+uo8pc+GuWaIWo1WBE6UVka9Frlis+SL2J+KiYmwSTjL6gMzMFBw4es7j2EQyuc2fvsWf8cnFZSpqTEjUaWAwWVFVY6pN4xVL3w1kbOKyzbLT5qT2tUtCXpZUzYGOTfzdVi+YMheguOt0vAhrzSJJIwN75WLFjwdwodLkNf1NLO0uZKkoEvX63J4S+K34LOYs3mFvY3i/trg6J8NzpHE4apOJAxhx/vYlZRUGvPbpbzh6usLp8TEDrsZVLTLtP7M/CZ9YrDsWawbYn0jh2MRdnRmfIArHJnLGVP6oA2MTgClzFGJiSSML1uxFQcdmXlNHpNLuQpWKEqz2SsuN9smQrY05i3egtNzoV03BrI3CyyoIGDptLca89YN9MtSqaRpmPt4D8woLnCZDREQUPqEcn0Tj2ETOmCpStcWCuAhVoNDxlnrnLf1NTiJeMJNMgtGeVJJLaXkNMlP8/0BhXUxtqesqqi/9Qrjnpla4uVNTKBQKD0sQEVE4hHJ8IpU2G8mxiZwxlT/iZWzCCREFxFvqnbf0NzmJeMFMMglGe5lp4kkumfoEv2oKZm0UXvokLeYVFkS6DCIichHS8UmQ0++C8ftfzpgqUrXFAt4yRwERSxoZ2CsXa7cclpX+JpZ2F6pUlGC1l5mqxfB+bd0S+jL1gXUOdTG1hYiIKBJCOT6JxrGJnDFVpGqLBQxV8CIWP7gY9prFEtwuGGSnv9nS7kwmC+qlyEydCeRwB6M9Ze1nic5VGFAvRVc7GQokUCGYtcnAD0GLC2VfArA/CadYrDsWawbYn0jh2MRdLI5PKg0WVFabatN4HZeJxrGJnDFVpGqTIZKhCrxlrq5RAMdOVeDEmUrvsdfBIgD6RI3TvaQpOrX9OW/Lpuhqo7btF4LrMq7ty4nXdoyGDKQ9KVYgM0WLNi0ya2sOxmQoWLURBUsk+hMiomAJwvikRdN6lwbpgvPzUTc2kTOm8kccjE04IapLwhiNGJXiffuJgonXExFR4NiXxgR+hqgOiZdoRCnxvv1EwcTriYgocOxLYwMnRHWIp2jEeBDv208UTLyeiIgCx740NnBCVIfYohEd1cVoRCnxvv1EwcTriYgocOxLYwMnRHVIvEQjSon37ScKJl5PRESBY18aGxiqUJcIQF6zNLwxpidOlFZcikYEUF7tJd0kHOSkrATi4vYXjbxOOhoy1DVIidR6ifwl1Z/wvCWiYIim34uhrEXO2CTUNXgSTcchgjghqmsEoEmDFGgVl87mqEg3CVfKiqdoyEglvTBhhmKVa3/C85WIgiGafi+GoxZvsdUcn0Qcb5mr46Il3SQa6ohUDdGw7URERNEimn4vRkMtHJ9EHidEdVy0pJtEQx2RqiEatp2IiChaRNPvxWioheOTyOOEqI6LlnSTaKgjUjVEw7YTERFFi2j6vRgNtXB8EnmcENVx0ZJuEg11RKqGaNh2IiKiaBFNvxejoRaOTyJPIQhCxD82deDAARQWFqKsrAzp6ekoKirC5ZdfLnv50tIKWK2h2YysrFScPn0hJG2HilvNtgQRT+km4eCljrDs64s1nCk3IEGnhj5JgxSdyu/9IbvmaDkGF4VqXyuVCmRmpgS93XAJZV8C1JH+JEbEYt2xWDPA/kQKxybunOqOpt+LHmoJ277m+CSk+9pbfxIVKXMTJkzAoEGD0KdPHyxduhQvvPAC/vvf/0a6rLrDW7pJnNVx7ExV+BNVomTbiYiIokI0/V6Mklo4PomciN8yV1paip07d6J3794AgN69e2Pnzp04e/ZshCujuoiJKkRERBRtOD6JrIi/Q1RSUoKGDRtCpaq9f1GlUqFBgwYoKSlBRkaGrDZC/ZZ6VlZqSNsPhVisGQh93Sf2nxZNVKkyWZDTTN755or7uu4Ix+05sbjfY7FmIDbrjsWagditO5Q4NhEXi3WHo2aOT2pFquaIT4iCgffpOovFmoHw1J2kU0OnUTl1OjqNCkkalV/r5r52xnv+PYvF8yUWawZis+5YrBlgfyKFYxN3sVh3uGrm+CSynyGK+C1z2dnZOHnyJCyW2hPAYrHg1KlTyM7OjnBlVBcxUYWIiIiiDccnkRXxd4gyMzORl5eH5cuXo0+fPli+fDny8vJk3y5H5BMByGuWhqKR10VFogoRERERxyeRFfEJEQBMnDgRhYWFmD17NvR6PYqKiiJdEtVlTFQhIiKiaMPxScRExYQoJycHixYtinQZREREREQUZyL+GSIiIiIiIqJI4YSIiIiIiIjiFidEREREREQUt6LiM0SBUioVMd1+KMRizUBs1h2LNQOhqTtW94VNOOqPxX0UizUDsVl3LNYMsD8Rw7GJuFisOxZrBmKz7lDV7K1dhSAIzLAgIiIiIqK4xFvmiIiIiIgobnFCREREREREcYsTIiIiIiIiilucEBERERERUdzihIiIiIiIiOIWJ0RERERERBS3OCEiIiIiIqK4xQkRERERERHFLU6IiIiIiIgobqkjXUC0KCoqwqpVq3Ds2DEsW7YMubm5AIADBw6gsLAQZWVlSE9PR1FRES6//PLIFutAqu6CggJotVrodDoAwNixY9GjR49Ilmp37tw5PPPMMzh8+DC0Wi2aN2+OSZMmISMjI2r3t6eao3lfA8DIkSNx9OhRKJVKJCUl4fnnn0deXl7U7uu6IBb7E/Yl4ROr/Qn7kshgfxIe7E/CK+r6E4EEQRCEX3/9VTh+/Lhw4403Cnv27LE/PmTIEGHJkiWCIAjCkiVLhCFDhkSqRFFSdbv+HE3OnTsn/Pzzz/afp02bJvzzn/8UBCF697enmqN5XwuCIJSXl9v/vWbNGqFv376CIETvvq4LYrE/YV8SPrHan7AviQz2J+HB/iS8oq0/4S1zF3Xq1AnZ2dlOj5WWlmLnzp3o3bs3AKB3797YuXMnzp49G4kSRYnVHe3S09PRpUsX+8/5+fk4fvx4VO9vqZpjQWpqqv3fFRUVUCgUUb2v64JY7E/Yl4RPrPYn7Esig/1JeLA/Ca9o6094y5wHJSUlaNiwIVQqFQBApVKhQYMGKCkpQUZGRoSr827s2LEQBAEdO3bEmDFjoNfrI12SG6vVivnz56OgoCBm9rdjzTbRvq+fffZZ/PDDDxAEAXPnzo2ZfV2XxPI+j/bzG4jNvgSIvf6EfUl0iOX9Hs3ntw37k/CIpv6E7xDVUR9//DG+/PJLfP755xAEAZMmTYp0SaImT56MpKQkDB48ONKlyOZacyzs6ylTpuC7777Dk08+iVdeeSXS5VAMiYXzG4jNvgSIvf6EfQkFItrPbxv2J+ERTf0JJ0QeZGdn4+TJk7BYLAAAi8WCU6dOxcTbwLYatVotBg0ahK1bt0a4IndFRUU4dOgQXn/9dSiVypjY3641A7Gxr2369u2LTZs2oVGjRlG/r+uaWDi/xcTC+R2LfQkQ2/0J+5LIipVz3FUsnN/sT8IvGvoTTog8yMzMRF5eHpYvXw4AWL58OfLy8qLuLVJXVVVVuHDhAgBAEASsXLkSeXl5Ea7K2YwZM/DHH39g1qxZ0Gq1AKJ/f4vVHO37urKyEiUlJfaf165di7S0tKjf13VRLO7zaD+/gdjsS4DY60/Yl0SXWNzv0Xx+27A/CY9o7E8UgiAIIV9LDHjppZewevVqnDlzBvXq1UN6ejpWrFiB4uJiFBYWory8HHq9HkVFRWjZsmWky7UTq3vOnDl47LHHYLFYYLVakZOTg+eeew4NGjSIdLkAgH379qF37964/PLLkZCQAABo2rQpZs2aFbX7W6rmwsLCqN7XZ86cwciRI1FdXQ2lUom0tDSMGzcOV155ZdTu67ogFvsT9iXhE4v9CfuSyGF/Eh7sT8InGvsTToiIiIiIiChu8ZY5IiIiIiKKW5wQERERERFR3OKEiIiIiIiI4hYnREREREREFLc4ISIiIiIiorjFCREREREREcUtTohItuPHj6N9+/b2bxD2x9GjR9G6dWuYzeYgVkZEsYb9CREFA/sSCgZOiEi2xo0bY9u2bVCpVGFf9969e/Hggw+iS5cuaN26tdvzZWVlGDVqFPLz83HjjTdi2bJlYa+RiORjf0JEwcC+hIKBEyKKCWq1GrfeeiumTJki+vykSZOg0Wjwww8/4NVXX8XEiROxb9++MFdJRLGA/QkRBQP7krqDEyJCQUEB5s6dizvuuAP5+fkYP348zpw5g4ceegjt27fHAw88gPPnz7u9pTxkyBC8/vrrGDhwINq3b4+hQ4fi7Nmzsta5bNky9OzZE126dMG///1vr69v2bIl7r77brRq1crtuaqqKqxevRqPP/44kpOT0alTJxQUFGDp0qUAgE2bNuH666/Hu+++i2uvvRbdu3fHN998g/Xr1+OWW27BNddcgzlz5viwx4hICvsT9idEwcC+hH1JOHFCRACA1atX47333sOqVauwbt06PPzwwxgzZgw2bdoEq9WKDz/8UHS55cuXY+rUqfjpp59gMpkwb948WevbsmULvv76a3zwwQeYNWsWiouL/a794MGDUCqVaNGihf2xNm3aYP/+/fafz5w5A4PBgA0bNmD06NF47rnn8OWXX+Lzzz/Hxx9/jFmzZuHIkSN+10BEl7A/YX9CFAzsS9iXhAsnRAQAGDx4MOrXr4+GDRuiU6dOaNeuHf7yl79Aq9WiV69e2Llzp+hy/fr1Q4sWLZCQkIBbb70Vu3btkrW+Rx99FAkJCWjTpg3atGmD3bt3+117VVUVUlNTnR5LTU1FZWWl/We1Wo0RI0ZAo9Hgtttuw7lz53DfffchJSUFrVq1QqtWrbBnzx6/ayCiS9ifsD8hCgb2JexLwoUTIgIA1K9f3/5vnU7n9HNCQgKqqqpEl8vKyrL/OzExUfJ1ntbny3JikpKSUFFR4fRYRUUFkpOT7T+np6fbP3CZkJAAAMjMzLQ/r9PpnDopIvIf+xP2J0TBwL6EfUm4cEJEMe/yyy+HxWLBwYMH7Y/t3r0bV1xxReSKIqKYxP6EiIKBfUls4YSIYoIgCDAYDDCZTAAAg8EAo9EIoPavML169cLMmTNRVVWFLVu24Ntvv0WfPn0iWTIRRSn2J0QUDOxL6g51pAsgkuPYsWO46aab7D+3a9cOTZo0wdq1awEAEyZMwPjx43HdddchPT0dEydOFE19ISJif0JEwcC+pO5QCIIgRLoIIiIiIiKiSOAtc0REREREFLd4yxwF3ZdffokJEya4Pd64cWOsWLFCcrmHHnoIW7ZscXt82LBhGD58eFBrJKLYwP6EiIKBfQl5wlvmiIiIiIgobvGWOSIiIiIiilucEBERERERUdzihIiIiIiIiOIWJ0RERERERBS3OCEiIiIiIqK49f8O8obBOoJBuwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:16.820223Z",
          "end_time": "2021-09-29T13:02:17.278495Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='max_h_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='max_h_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='max_h_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja koealan puiden maksimikorkeus (m)')\n\nplt.show()",
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:17.280082Z",
          "end_time": "2021-09-29T13:02:17.747013Z"
        },
        "trusted": true
      },
      "id": "0ba0ebfc",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='num_species_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_species_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_species_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja puulajien lukumäärä')\n\nplt.show()",
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:17.748792Z",
          "end_time": "2021-09-29T13:02:18.263162Z"
        },
        "trusted": true
      },
      "id": "938937da",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_pine_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_pine_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_pine_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja mäntyjen suhteellinen osuus')\n\nplt.show()",
      "execution_count": 92,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:18.265420Z",
          "end_time": "2021-09-29T13:02:18.787450Z"
        },
        "trusted": true
      },
      "id": "eceefd4d",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='num_pine_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_pine_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_pine_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja mäntyjen lukumäärä')\n\nplt.show()",
      "execution_count": 93,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:18.790200Z",
          "end_time": "2021-09-29T13:02:19.279807Z"
        },
        "trusted": true,
        "scrolled": true
      },
      "id": "e84cbbdd",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_spruce_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_spruce_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_spruce_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja kuusien suhteellinen osuus')\n\nplt.show()",
      "execution_count": 94,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:19.281197Z",
          "end_time": "2021-09-29T13:02:19.767886Z"
        },
        "trusted": true
      },
      "id": "bfbdc149",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='num_spruce_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_spruce_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_spruce_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja kuusien lukumäärä')\n\nplt.show()",
      "execution_count": 95,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:19.770181Z",
          "end_time": "2021-09-29T13:02:20.345413Z"
        },
        "trusted": true
      },
      "id": "7e5203ba",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_birch_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_birch_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_birch_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja koivujen suhteellinen osuus')\n\nplt.show()",
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:20.347626Z",
          "end_time": "2021-09-29T13:02:20.884344Z"
        },
        "trusted": true
      },
      "id": "745992ef",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='num_birch_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_birch_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_birch_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja koivujen lukumäärä')\n\nplt.show()",
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:20.886734Z",
          "end_time": "2021-09-29T13:02:21.490927Z"
        },
        "trusted": true
      },
      "id": "b06fb13a",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_aspen_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_aspen_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='pct_aspen_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja haapojen suhteellinen osuus')\n\nplt.show()",
      "execution_count": 98,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2021-09-29T13:02:21.492162Z",
          "end_time": "2021-09-29T13:02:21.997780Z"
        },
        "trusted": true
      },
      "id": "917a10bf",
      "cell_type": "code",
      "source": "fig, axs = plt.subplots(1,3, figsize=(14,4), sharey=True, sharex=True)\n\nmake_scatter_with_fit(y='Lajien_lkm', x='num_aspen_10m', data=lichen_shp, ax=axs[0])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_aspen_10m', data=lichen_shp[lichen_shp.Alue=='suojelu'], ax=axs[1])\nmake_scatter_with_fit(y='Lajien_lkm', x='num_aspen_10m', data=lichen_shp[lichen_shp.Alue=='muu'], ax=axs[2])\n\naxs[0].set_title('Kaikki alueet')\naxs[1].set_title('Suojelualueet')\naxs[2].set_title('Muut alueet')\n\nplt.suptitle('Lajien lukumäärä ja haapojen lukumäärä')\n\nplt.show()",
      "execution_count": 99,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1008x288 with 3 Axes>",
            "image/png": "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