demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/johan/.local/lib/python3.5/site-packages/pandas/core/series.py:696: FutureWarning: \n",
      "Passing list-likes to .loc or [] with any missing label will raise\n",
      "KeyError in the future, you can use .reindex() as an alternative.\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate-loc-reindex-listlike\n",
      "  return self.loc[key]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   occurrence\n",
      "1       0.00%\n",
      "2       4.80%\n",
      "3       6.00%\n",
      "4       4.44%\n",
      "5       2.60%\n",
      "6      11.12%\n",
      "7       0.00%\n",
      "8      12.87%\n",
      "9       0.00%\n",
      "10      0.00%\n",
      "11      0.00%\n",
      "12      0.00%\n",
      "13      0.15%\n",
      "14      0.04%\n",
      "15      0.00%\n",
      "16      1.16%\n",
      "17      0.10%\n",
      "18      7.67%\n",
      "19      0.00%\n",
      "20      3.58%\n",
      "21     11.61%\n",
      "22      0.00%\n",
      "23      0.00%\n",
      "24      0.00%\n",
      "25      0.00%\n",
      "26      4.12%\n",
      "27      0.00%\n",
      "28      0.00%\n"
     ]
    }
   ],
   "source": [
    "import niche_vlaanderen\n",
    "\n",
    "myniche = niche_vlaanderen.Niche()\n",
    "myniche.set_input(\"soil_code\", \"Ingrids/bodemveen/\")\n",
    "\n",
    "myniche.set_input(\"msw\", \"../niche_vlaanderen/testcase/grobbendonk/input/msw_correct.asc\")\n",
    "myniche.set_input(\"mlw\", \"Ingrids/glg_mv_model/\")\n",
    "#myniche.set_input(\"mhw\", \"Ingrids/ghg_mv_model/\")\n",
    "myniche.set_input(\"mhw\", \"../niche_vlaanderen/testcase/grobbendonk/input/mhw_correct2.asc\")\n",
    "myniche.set_input(\"seepage\", \"Ingrids/kwel\")\n",
    "\n",
    "myniche.set_input(\"rainwater\", \"Ingrids/nulgrid\")\n",
    "\n",
    "myniche.set_input(\"management\", \"Ingrids/beheer\")\n",
    "\n",
    "\n",
    "\n",
    "myniche.set_input(\"nitrogen_atmospheric\", 100)\n",
    "myniche.set_input(\"nitrogen_animal\", \"Ingrids/bemest_d\")\n",
    "myniche.set_input(\"nitrogen_fertilizer\", \"Ingrids/bemest_k\")\n",
    "\n",
    "myniche.set_input(\"inundation_vegetation\", \"Ingrids/nulgrid\")\n",
    "myniche.set_input(\"inundation_acidity\", \"Ingrids/ovstr_z\")\n",
    "myniche.set_input(\"inundation_nutrient\", \"Ingrids/ovstr_z\")\n",
    "\n",
    "myniche.set_input(\"conductivity\", \"Ingrids/mineraal\")\n",
    "\n",
    "\n",
    "myniche.run(full_model=True, deviation=True)\n",
    "\n",
    "myniche.write(\"output\") # schrijft de nicheresultaten weg in een map \"output\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   occurrence\n",
      "1       0.00%\n",
      "2      78.57%\n",
      "3       0.00%\n",
      "4      28.57%\n",
      "5       0.00%\n",
      "6       4.76%\n",
      "7       0.00%\n",
      "8      92.86%\n",
      "9       0.00%\n",
      "10      0.00%\n",
      "11      0.00%\n",
      "12      0.00%\n",
      "13      0.00%\n",
      "14      0.00%\n",
      "15      0.00%\n",
      "16      0.00%\n",
      "17      0.00%\n",
      "18      0.00%\n",
      "19      0.00%\n",
      "20      0.00%\n",
      "21      0.00%\n",
      "22      0.00%\n",
      "23      0.00%\n",
      "24      0.00%\n",
      "25      0.00%\n",
      "26      2.38%\n",
      "27      0.00%\n",
      "28      0.00%\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "# Niche Vlaanderen version: 0.0.1\n",
       "# Run at: 2017-11-16 12:03:07.891037\n",
       "\n",
       "package_versions:\n",
       "  pandas: 0.21.0\n",
       "  numpy: 1.13.3\n",
       "  rasterio: 0.36.0\n",
       "  gdal: 2.1.2\n",
       "\n",
       "model_options:\n",
       "  abiotic: false\n",
       "  deviation: false\n",
       "  full_model: true\n",
       "\n",
       "model_properties:\n",
       "  model_extent: ((172762.5, 210637.5), (172937.5, 210487.5))\n",
       "\n",
       "input_layers:\n",
       "  mhw: ../niche_vlaanderen/tests/data/mhw_small.asc\n",
       "  mlw: ../niche_vlaanderen/tests/data/mlw_small.asc\n",
       "  msw: ../niche_vlaanderen/tests/data/msw_small.asc\n",
       "  soil_code: ../niche_vlaanderen/tests/data/soil_code_small.asc\n",
       "  conductivity: 501\n",
       "  inundation_acidity: 0\n",
       "  inundation_nutrient: 0\n",
       "  management: 1\n",
       "  nitrogen_animal: 0\n",
       "  nitrogen_atmospheric: 30\n",
       "  nitrogen_fertilizer: 0\n",
       "  rainwater: 0\n",
       "  seepage: 0\n",
       "\n",
       "model_result: \n",
       "  1: 0.0\n",
       "  2: 0.7857142857142857\n",
       "  3: 0.0\n",
       "  4: 0.2857142857142857\n",
       "  5: 0.0\n",
       "  6: 0.047619047619047616\n",
       "  7: 0.0\n",
       "  8: 0.9285714285714286\n",
       "  9: 0.0\n",
       "  10: 0.0\n",
       "  11: 0.0\n",
       "  12: 0.0\n",
       "  13: 0.0\n",
       "  14: 0.0\n",
       "  15: 0.0\n",
       "  16: 0.0\n",
       "  17: 0.0\n",
       "  18: 0.0\n",
       "  19: 0.0\n",
       "  20: 0.0\n",
       "  21: 0.0\n",
       "  22: 0.0\n",
       "  23: 0.0\n",
       "  24: 0.0\n",
       "  25: 0.0\n",
       "  26: 0.023809523809523808\n",
       "  27: 0.0\n",
       "  28: 0.0"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# run from a configuration file\n",
    "\n",
    "small = niche_vlaanderen.Niche()\n",
    "small.read_config_input('../niche_vlaanderen/tests/small.yaml')\n",
    "small.run()\n",
    "small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "small.write(\"_output\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "# Niche Vlaanderen version: 0.0.1\n",
       "# Run at: 2017-11-16 12:03:07.936336\n",
       "\n",
       "package_versions:\n",
       "  pandas: 0.21.0\n",
       "  numpy: 1.13.3\n",
       "  rasterio: 0.36.0\n",
       "  gdal: 2.1.2\n",
       "\n",
       "model_options:\n",
       "  abiotic: false\n",
       "  deviation: false\n",
       "  full_model: true\n",
       "  output_dir: _output\n",
       "\n",
       "model_properties:\n",
       "  model_extent: ((172762.5, 210637.5), (172937.5, 210487.5))\n",
       "\n",
       "input_layers:\n",
       "  mhw: ../niche_vlaanderen/tests/data/mhw_small.asc\n",
       "  mlw: ../niche_vlaanderen/tests/data/mlw_small.asc\n",
       "  msw: ../niche_vlaanderen/tests/data/msw_small.asc\n",
       "  soil_code: ../niche_vlaanderen/tests/data/soil_code_small.asc\n",
       "  conductivity: 501\n",
       "  inundation_acidity: 0\n",
       "  inundation_nutrient: 0\n",
       "  management: 1\n",
       "  nitrogen_animal: 0\n",
       "  nitrogen_atmospheric: 30\n",
       "  nitrogen_fertilizer: 0\n",
       "  rainwater: 0\n",
       "  seepage: 0\n",
       "\n",
       "model_result: \n",
       "  1: 0.0\n",
       "  2: 0.7857142857142857\n",
       "  3: 0.0\n",
       "  4: 0.2857142857142857\n",
       "  5: 0.0\n",
       "  6: 0.047619047619047616\n",
       "  7: 0.0\n",
       "  8: 0.9285714285714286\n",
       "  9: 0.0\n",
       "  10: 0.0\n",
       "  11: 0.0\n",
       "  12: 0.0\n",
       "  13: 0.0\n",
       "  14: 0.0\n",
       "  15: 0.0\n",
       "  16: 0.0\n",
       "  17: 0.0\n",
       "  18: 0.0\n",
       "  19: 0.0\n",
       "  20: 0.0\n",
       "  21: 0.0\n",
       "  22: 0.0\n",
       "  23: 0.0\n",
       "  24: 0.0\n",
       "  25: 0.0\n",
       "  26: 0.023809523809523808\n",
       "  27: 0.0\n",
       "  28: 0.0\n",
       "\n",
       "files_written:\n",
       "  1: _output/1.tif\n",
       "  2: _output/2.tif\n",
       "  3: _output/3.tif\n",
       "  4: _output/4.tif\n",
       "  5: _output/5.tif\n",
       "  6: _output/6.tif\n",
       "  7: _output/7.tif\n",
       "  8: _output/8.tif\n",
       "  9: _output/9.tif\n",
       "  10: _output/10.tif\n",
       "  11: _output/11.tif\n",
       "  12: _output/12.tif\n",
       "  13: _output/13.tif\n",
       "  14: _output/14.tif\n",
       "  15: _output/15.tif\n",
       "  16: _output/16.tif\n",
       "  17: _output/17.tif\n",
       "  18: _output/18.tif\n",
       "  19: _output/19.tif\n",
       "  20: _output/20.tif\n",
       "  21: _output/21.tif\n",
       "  22: _output/22.tif\n",
       "  23: _output/23.tif\n",
       "  24: _output/24.tif\n",
       "  25: _output/25.tif\n",
       "  26: _output/26.tif\n",
       "  27: _output/27.tif\n",
       "  28: _output/28.tif\n",
       "  acidity: _output/acidity.tif\n",
       "  nutrient_level: _output/nutrient_level.tif"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the object info will also contain the files written if you \n",
    "# have run .write\n",
    "small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   occurrence\n",
      "1       0.00%\n",
      "2      78.57%\n",
      "3       0.00%\n",
      "4      28.57%\n",
      "5       0.00%\n",
      "6       4.76%\n",
      "7       0.00%\n",
      "8      92.86%\n",
      "9       0.00%\n",
      "10      0.00%\n",
      "11      0.00%\n",
      "12      0.00%\n",
      "13      0.00%\n",
      "14      0.00%\n",
      "15      0.00%\n",
      "16      0.00%\n",
      "17      0.00%\n",
      "18      0.00%\n",
      "19      0.00%\n",
      "20      0.00%\n",
      "21      0.00%\n",
      "22      0.00%\n",
      "23      0.00%\n",
      "24      0.00%\n",
      "25      0.00%\n",
      "26      2.38%\n",
      "27      0.00%\n",
      "28      0.00%\n"
     ]
    }
   ],
   "source": [
    "small.run(deviation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "# Niche Vlaanderen version: 0.0.1\n",
       "# Run at: 2017-11-16 12:03:08.363547\n",
       "\n",
       "package_versions:\n",
       "  pandas: 0.21.0\n",
       "  numpy: 1.13.3\n",
       "  rasterio: 0.36.0\n",
       "  gdal: 2.1.2\n",
       "\n",
       "model_options:\n",
       "  abiotic: false\n",
       "  deviation: true\n",
       "  full_model: true\n",
       "  output_dir: output\n",
       "\n",
       "model_properties:\n",
       "  model_extent: ((164937.5, 216162.5), (182262.5, 203637.5))\n",
       "\n",
       "input_layers:\n",
       "  conductivity: Ingrids/mineraal\n",
       "  inundation_acidity: Ingrids/ovstr_z\n",
       "  inundation_nutrient: Ingrids/ovstr_z\n",
       "  inundation_vegetation: Ingrids/nulgrid\n",
       "  management: Ingrids/beheer\n",
       "  mhw: ../niche_vlaanderen/testcase/grobbendonk/input/mhw_correct2.asc\n",
       "  mlw: Ingrids/glg_mv_model/\n",
       "  msw: ../niche_vlaanderen/testcase/grobbendonk/input/msw_correct.asc\n",
       "  nitrogen_animal: Ingrids/bemest_d\n",
       "  nitrogen_fertilizer: Ingrids/bemest_k\n",
       "  rainwater: Ingrids/nulgrid\n",
       "  seepage: Ingrids/kwel\n",
       "  soil_code: Ingrids/bodemveen/\n",
       "  nitrogen_atmospheric: 100\n",
       "\n",
       "model_result: \n",
       "  1: 3.233512119607613e-05\n",
       "  2: 0.04800148741557502\n",
       "  3: 0.05999377548916975\n",
       "  4: 0.044444624084006644\n",
       "  5: 0.025969144210598646\n",
       "  6: 0.1111519791115117\n",
       "  7: 0.0\n",
       "  8: 0.128693782360383\n",
       "  9: 0.0\n",
       "  10: 0.0\n",
       "  11: 0.0\n",
       "  12: 0.0\n",
       "  13: 0.0015076250257670498\n",
       "  14: 0.00039610523465193265\n",
       "  15: 0.0\n",
       "  16: 0.011612350399540842\n",
       "  17: 0.0009660117457327745\n",
       "  18: 0.07673932637858769\n",
       "  19: 0.0\n",
       "  20: 0.03576668593300971\n",
       "  21: 0.11609925265451136\n",
       "  22: 0.0\n",
       "  23: 0.0\n",
       "  24: 0.0\n",
       "  25: 0.0\n",
       "  26: 0.04118686062350197\n",
       "  27: 0.0\n",
       "  28: 0.0\n",
       "\n",
       "files_written:\n",
       "  1: output/1.tif\n",
       "  2: output/2.tif\n",
       "  3: output/3.tif\n",
       "  4: output/4.tif\n",
       "  5: output/5.tif\n",
       "  6: output/6.tif\n",
       "  7: output/7.tif\n",
       "  8: output/8.tif\n",
       "  9: output/9.tif\n",
       "  10: output/10.tif\n",
       "  11: output/11.tif\n",
       "  12: output/12.tif\n",
       "  13: output/13.tif\n",
       "  14: output/14.tif\n",
       "  15: output/15.tif\n",
       "  16: output/16.tif\n",
       "  17: output/17.tif\n",
       "  18: output/18.tif\n",
       "  19: output/19.tif\n",
       "  20: output/20.tif\n",
       "  21: output/21.tif\n",
       "  22: output/22.tif\n",
       "  23: output/23.tif\n",
       "  24: output/24.tif\n",
       "  25: output/25.tif\n",
       "  26: output/26.tif\n",
       "  27: output/27.tif\n",
       "  28: output/28.tif\n",
       "  mlw_21: output/mlw_21.tif\n",
       "  mhw_25: output/mhw_25.tif\n",
       "  mlw_17: output/mlw_17.tif\n",
       "  mlw_09: output/mlw_09.tif\n",
       "  mhw_23: output/mhw_23.tif\n",
       "  mlw_08: output/mlw_08.tif\n",
       "  mlw_14: output/mlw_14.tif\n",
       "  mlw_12: output/mlw_12.tif\n",
       "  mhw_10: output/mhw_10.tif\n",
       "  mlw_10: output/mlw_10.tif\n",
       "  mlw_01: output/mlw_01.tif\n",
       "  mhw_28: output/mhw_28.tif\n",
       "  mlw_15: output/mlw_15.tif\n",
       "  mhw_05: output/mhw_05.tif\n",
       "  mhw_17: output/mhw_17.tif\n",
       "  mlw_03: output/mlw_03.tif\n",
       "  mhw_03: output/mhw_03.tif\n",
       "  mlw_28: output/mlw_28.tif\n",
       "  mhw_04: output/mhw_04.tif\n",
       "  mhw_09: output/mhw_09.tif\n",
       "  mlw_16: output/mlw_16.tif\n",
       "  mhw_12: output/mhw_12.tif\n",
       "  mhw_19: output/mhw_19.tif\n",
       "  mlw_07: output/mlw_07.tif\n",
       "  mlw_05: output/mlw_05.tif\n",
       "  mlw_22: output/mlw_22.tif\n",
       "  mhw_26: output/mhw_26.tif\n",
       "  mlw_06: output/mlw_06.tif\n",
       "  nutrient_level: output/nutrient_level.tif\n",
       "  mlw_11: output/mlw_11.tif\n",
       "  acidity: output/acidity.tif\n",
       "  mlw_24: output/mlw_24.tif\n",
       "  mlw_02: output/mlw_02.tif\n",
       "  mlw_23: output/mlw_23.tif\n",
       "  mhw_07: output/mhw_07.tif\n",
       "  mhw_24: output/mhw_24.tif\n",
       "  mlw_26: output/mlw_26.tif\n",
       "  mhw_14: output/mhw_14.tif\n",
       "  mhw_11: output/mhw_11.tif\n",
       "  mhw_21: output/mhw_21.tif\n",
       "  mhw_08: output/mhw_08.tif\n",
       "  mhw_22: output/mhw_22.tif\n",
       "  mhw_16: output/mhw_16.tif\n",
       "  mhw_01: output/mhw_01.tif\n",
       "  mhw_06: output/mhw_06.tif\n",
       "  mlw_04: output/mlw_04.tif\n",
       "  mhw_02: output/mhw_02.tif\n",
       "  mlw_27: output/mlw_27.tif\n",
       "  mhw_18: output/mhw_18.tif\n",
       "  mlw_13: output/mlw_13.tif\n",
       "  mlw_20: output/mlw_20.tif\n",
       "  mlw_25: output/mlw_25.tif\n",
       "  mhw_20: output/mhw_20.tif\n",
       "  mlw_19: output/mlw_19.tif\n",
       "  mhw_15: output/mhw_15.tif\n",
       "  mhw_13: output/mhw_13.tif\n",
       "  mhw_27: output/mhw_27.tif\n",
       "  mlw_18: output/mlw_18.tif"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myniche"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8OFTVYzUPXiMFWlseAZ2RoCrsm1RKr/wAxfTRqAu4URtIxINWSWVD4IPn33m2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\nepU0KekIRBm7N3gNPoBeGbG8EOMO4Qve+HosHnOA8fId7N6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ztQyjHPbsRMQe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\n8qf3VnPYWdkenuRPx9aOYG0XzMIhnMxueM6rKQySA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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f601ce26ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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kH0s6MGjYBwKPhfR3AhdZYuxfJ+m7wL8h0dCPSxV7EIn5ZUNYT6f33IbyjtE4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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f601ce0a710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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0sDQiKPMzX2X+rmwOpAyLaFFZ5jCq6pnASGXldetnCAI3jN2DGoioh07aepxR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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f601ce0a1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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bcnUk7BzkDqJVyM/OzMSWYUnXqr68MotHj2H12HYAM0RvF27xyNzblppV6f/2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\nRAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f601ce97f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show method\n",
    "myniche.show(\"mhw\")\n",
    "myniche.show(3)\n",
    "myniche.show(\"mhw_11\")\n",
    "myniche.show(\"nutrient_level\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Extent: ((164487.5, 216737.5), (182912.5, 202862.5))\n",
       "\n",
       "Affine(25.0, 0.0, 164487.5,\n",
       "       0.0, -25.0, 216737.5)\n",
       "\n",
       "width: 737, height: 555\n",
       "\n",
       "Projection: +ellps=intl +lat_0=90 +lat_1=49.8333339 +lat_2=51.16666723333333 +lon_0=4.367486666666666 +no_defs +proj=lcc +units=m +x_0=150000.01256 +y_0=5400088.4378"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grobbendonk = niche_vlaanderen.Niche()\n",
    "grobbendonk.set_input(\"soil_code\", \"Ingrids/bodemveen/\")\n",
    "grobbendonk._context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Extent: ((164937.5, 216162.5), (182262.5, 203637.5))\n",
       "\n",
       "Affine(25.0, 0.0, 164937.5,\n",
       "       0.0, -25.0, 216162.5)\n",
       "\n",
       "width: 693, height: 501\n",
       "\n",
       "Projection: +ellps=intl +lat_0=90 +lat_1=49.8333339 +lat_2=51.16666723333333 +lon_0=4.367486666666666 +no_defs +proj=lcc +units=m +x_0=150000.01256 +y_0=5400088.4378"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#demonstrating how context changes when adding a layer\n",
    "grobbendonk.set_input(\"mhw\", \"../niche_vlaanderen/testcase/grobbendonk/input/mhw_correct2.asc\")\n",
    "grobbendonk.set_input(\"mlw\", \"Ingrids/glg_mv_model/\")\n",
    "\n",
    "grobbendonk._context"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   occurrence\n",
      "1       0.16%\n",
      "2      13.62%\n",
      "3       7.20%\n",
      "4       6.28%\n",
      "5       5.40%\n",
      "6      31.53%\n",
      "7       3.39%\n",
      "8      12.07%\n",
      "9       9.65%\n",
      "10      0.44%\n",
      "11      0.60%\n",
      "12      0.84%\n",
      "13      0.26%\n",
      "14      0.29%\n",
      "15      0.13%\n",
      "16      1.91%\n",
      "17      0.59%\n",
      "18     11.94%\n",
      "19      4.94%\n",
      "20      5.18%\n",
      "21     16.48%\n",
      "22     12.60%\n",
      "23      1.41%\n",
      "24      0.04%\n",
      "25      0.03%\n",
      "26     14.10%\n",
      "27     13.96%\n",
      "28      5.84%\n"
     ]
    }
   ],
   "source": [
    "grobbendonk.run(full_model=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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bb9fMmDFjUFpamjEvLy9j//79NifJadOmXfzss8+6Z2RkGGUh1RWSk5N/Wr58eZ9BgwZl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f6063c25a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# myniche is a full model grobbendonk is a limited model. We can compare:\n",
    "d = niche_vlaanderen.niche.NicheDelta(myniche, grobbendonk)\n",
    "d.show(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>not present</th>\n",
       "      <th>present</th>\n",
       "      <th>no data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>216652500.0</td>\n",
       "      <td>342500.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>187448125.0</td>\n",
       "      <td>29546875.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>201361875.0</td>\n",
       "      <td>15633125.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>203368125.0</td>\n",
       "      <td>13626875.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>205281875.0</td>\n",
       "      <td>11713125.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>148586250.0</td>\n",
       "      <td>68408750.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>209648750.0</td>\n",
       "      <td>7346250.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>190796250.0</td>\n",
       "      <td>26198750.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>196065000.0</td>\n",
       "      <td>20930000.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>216050000.0</td>\n",
       "      <td>945000.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>215702500.0</td>\n",
       "      <td>1292500.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>215175000.0</td>\n",
       "      <td>1820000.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>216428125.0</td>\n",
       "      <td>566875.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>216366875.0</td>\n",
       "      <td>628125.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>216719375.0</td>\n",
       "      <td>275625.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>212851875.0</td>\n",
       "      <td>4143125.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>215710625.0</td>\n",
       "      <td>1284375.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>191075000.0</td>\n",
       "      <td>25920000.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>206272500.0</td>\n",
       "      <td>10722500.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>205754375.0</td>\n",
       "      <td>11240625.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>181229375.0</td>\n",
       "      <td>35765625.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>189653750.0</td>\n",
       "      <td>27341250.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>213938125.0</td>\n",
       "      <td>3056875.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>216909375.0</td>\n",
       "      <td>85625.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>216938125.0</td>\n",
       "      <td>56875.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>186402500.0</td>\n",
       "      <td>30592500.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>186694375.0</td>\n",
       "      <td>30300625.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>204318750.0</td>\n",
       "      <td>12676250.0</td>\n",
       "      <td>625.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    not present     present  no data\n",
       "1   216652500.0    342500.0    625.0\n",
       "2   187448125.0  29546875.0    625.0\n",
       "3   201361875.0  15633125.0    625.0\n",
       "4   203368125.0  13626875.0    625.0\n",
       "5   205281875.0  11713125.0    625.0\n",
       "6   148586250.0  68408750.0    625.0\n",
       "7   209648750.0   7346250.0    625.0\n",
       "8   190796250.0  26198750.0    625.0\n",
       "9   196065000.0  20930000.0    625.0\n",
       "10  216050000.0    945000.0    625.0\n",
       "11  215702500.0   1292500.0    625.0\n",
       "12  215175000.0   1820000.0    625.0\n",
       "13  216428125.0    566875.0    625.0\n",
       "14  216366875.0    628125.0    625.0\n",
       "15  216719375.0    275625.0    625.0\n",
       "16  212851875.0   4143125.0    625.0\n",
       "17  215710625.0   1284375.0    625.0\n",
       "18  191075000.0  25920000.0    625.0\n",
       "19  206272500.0  10722500.0    625.0\n",
       "20  205754375.0  11240625.0    625.0\n",
       "21  181229375.0  35765625.0    625.0\n",
       "22  189653750.0  27341250.0    625.0\n",
       "23  213938125.0   3056875.0    625.0\n",
       "24  216909375.0     85625.0    625.0\n",
       "25  216938125.0     56875.0    625.0\n",
       "26  186402500.0  30592500.0    625.0\n",
       "27  186694375.0  30300625.0    625.0\n",
       "28  204318750.0  12676250.0    625.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can have a look at the areas where a vegetation is predicted\n",
    "t = grobbendonk.table\n",
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# occurrence can be recalculated\n",
    "t.present / (t[\"not present\"] + t.present)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>1.0</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>154288125.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>337500.0</td>\n",
       "      <td>5000.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>125083750.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>22124375.0</td>\n",
       "      <td>7422500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>138997500.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>6356250.0</td>\n",
       "      <td>9276875.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>141003750.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>6754375.0</td>\n",
       "      <td>6872500.0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>142917500.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>7697500.0</td>\n",
       "      <td>4015625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>86221875.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>51221250.0</td>\n",
       "      <td>17187500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>147284375.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>7346250.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>128431875.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>6298750.0</td>\n",
       "      <td>19900000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>133700625.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>20930000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>153685625.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>945000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>153338125.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>1292500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>152810625.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>1820000.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>154063750.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>333750.0</td>\n",
       "      <td>233125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>154002500.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>566875.0</td>\n",
       "      <td>61250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>154355000.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>275625.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>150487500.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>2347500.0</td>\n",
       "      <td>1795625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>153346250.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>1135000.0</td>\n",
       "      <td>149375.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>128710625.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>14053750.0</td>\n",
       "      <td>11866250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>143908125.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>10722500.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>143390000.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>5710000.0</td>\n",
       "      <td>5530625.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>118865000.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>17813125.0</td>\n",
       "      <td>17952500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>127289375.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>27341250.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>151573750.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>3056875.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>154545000.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>85625.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>154573750.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>56875.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>124038125.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>24223750.0</td>\n",
       "      <td>6368750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>124330000.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>30300625.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>141954375.0</td>\n",
       "      <td>62364375.0</td>\n",
       "      <td>12676250.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            0.0         4.0         3.0         1.0\n",
       "1   154288125.0  62364375.0    337500.0      5000.0\n",
       "2   125083750.0  62364375.0  22124375.0   7422500.0\n",
       "3   138997500.0  62364375.0   6356250.0   9276875.0\n",
       "4   141003750.0  62364375.0   6754375.0   6872500.0\n",
       "5   142917500.0  62364375.0   7697500.0   4015625.0\n",
       "6    86221875.0  62364375.0  51221250.0  17187500.0\n",
       "7   147284375.0  62364375.0   7346250.0         0.0\n",
       "8   128431875.0  62364375.0   6298750.0  19900000.0\n",
       "9   133700625.0  62364375.0  20930000.0         0.0\n",
       "10  153685625.0  62364375.0    945000.0         0.0\n",
       "11  153338125.0  62364375.0   1292500.0         0.0\n",
       "12  152810625.0  62364375.0   1820000.0         0.0\n",
       "13  154063750.0  62364375.0    333750.0    233125.0\n",
       "14  154002500.0  62364375.0    566875.0     61250.0\n",
       "15  154355000.0  62364375.0    275625.0         0.0\n",
       "16  150487500.0  62364375.0   2347500.0   1795625.0\n",
       "17  153346250.0  62364375.0   1135000.0    149375.0\n",
       "18  128710625.0  62364375.0  14053750.0  11866250.0\n",
       "19  143908125.0  62364375.0  10722500.0         0.0\n",
       "20  143390000.0  62364375.0   5710000.0   5530625.0\n",
       "21  118865000.0  62364375.0  17813125.0  17952500.0\n",
       "22  127289375.0  62364375.0  27341250.0         0.0\n",
       "23  151573750.0  62364375.0   3056875.0         0.0\n",
       "24  154545000.0  62364375.0     85625.0         0.0\n",
       "25  154573750.0  62364375.0     56875.0         0.0\n",
       "26  124038125.0  62364375.0  24223750.0   6368750.0\n",
       "27  124330000.0  62364375.0  30300625.0         0.0\n",
       "28  141954375.0  62364375.0  12676250.0         0.0"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we can also generate a table for the difference (still needs better column names)\n",
    "d.table"
   ]
  }
 ],
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