Thomas Statham tastatham
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| <style> | |
| /* change background colours around elements */ | |
| .mapboxgl-ctrl.mapboxgl-ctrl-attrib { | |
| background-color: rgba(86, 1, 1, 0.7); | |
| } | |
| .mapboxgl-ctrl.mapboxgl-ctrl-attrib a { | |
| color: #d17d61 !important; | |
| } | |
| /* change background colours around elements */ | |
| .mapboxgl-ctrl-group { |
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| --- | |
| title: "R Notebook" | |
| output: html_notebook | |
| --- | |
| ```{r} | |
| # create list of countries who qualified and their placement in the wc | |
| qualified <- c('Spain','Nigeria','Egypt','Costa Rica','Japan','Tunisia', 'France','Switzerland','Portugal', 'Russia','Colombia','Peru','Senegal','United Kingdom','Denmark','Brazil','Germany','Iran (Islamic Republic of)','Korea, Republic of','Morocco', 'Belgium','Croatia','Saudi Arabia','Uruguay','Iceland','Argentina','Panama','Poland','Australia','Mexico','Sweden','Serbia') | |
| # knocked out of group stage |
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| var beforeMap = new mapboxgl.Map({ | |
| container: 'before', | |
| style: 'mapbox://styles/tastatham1/cjjy2a3sd4lx02sqcse1jkgyd', | |
| center: [0, 43.825234], | |
| pitch:20, | |
| zoom: 4 | |
| }); | |
| var afterMap = new mapboxgl.Map({ |
tastatham
/ gpd_to_postgis_example.py
Last active
February 24, 2020 11:42
Geopandas to postgis example
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| # Load pkgs and data | |
| import geopandas as gpd | |
| data = gpd.read_file("https://gist.githubusercontent.com/HTenkanen/456ec4611a943955823a65729c9cf2aa/raw/be56f5e1e5c06c33cd51e89f823a7d770d8769b5/ykr_basegrid.geojson") | |
| world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres')) | |
| # Subset argentina as single ply | |
| argentina = world[world['name'] == 'Argentina' ] | |
| # Define engine | |
| engine = create_engine("postgresql+psycopg2://[user]:[password]@localhost:5432/[my_db]") |
tastatham
/ dask_geomodeling_zonal_stats.py
Created
March 1, 2020 13:52
Zonal statistics using dask_geomodeling
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| # Import modules | |
| from dask_geomodeling.raster import RasterBlock | |
| from dask_geomodeling.raster import base | |
| from dask_geomodeling.geometry import base | |
| # Define paths | |
| arg_rast_path = 'raster.tif' | |
| arg_vec_path = 'vector.shp' | |
| """ |
tastatham
/ dask_geomodeling_quick_not_quick.py
Last active
March 2, 2020 10:52
Dask-geomodeling; Quick start is not "quick"
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| import dask | |
| import dask_geomodeling | |
| request = { | |
| "mode": "vals", | |
| "bbox": (138000, 480000, 139000, 481000), | |
| "projection": "epsg:28992", | |
| "width": 256, | |
| "height": 256 | |
| } | |
| graph, name = add.get_compute_graph(**request) |
tastatham
/ dask_geomodeling_zonalstats.py
Last active
April 24, 2020 11:23
dask_geomodeling_zonalstats.py
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| def compute_zonal_stats(raster, vector, fid, col, statistics,tile,mode): | |
| """ | |
| Calculate zonal statistics using dask | |
| Parameters | |
| ---------- | |
| raster : A GeoDataFrame to create multiple copies based on the list of density thresholds |
tastatham
/ gpd_ring_buffers.py
Created
April 13, 2021 09:34
Updated Geopandas (constant) multi-ring buffer function with example
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| import pandas as pd | |
| import geopandas as gpd | |
| def multi_ring_buffers(gdf, number, distance): | |
| """ | |
| Apply a function to a GeoDataFrame containing Point data and compute constant multi-ring buffers | |
| Parameters | |
| ---------- |
tastatham
/ rioxarray_polygonize.py
Created
June 29, 2021 15:59
Modified row2cell function from https://geographicdata.science/book/notebooks/03_spatial_data.html#one-pixel-at-a-time
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| import pandas | |
| import geopandas | |
| import rioxarray | |
| from shapely.geometry import box | |
| def _polygonize(rioxarray_obj): | |
| """""" | |
| poly_ls = [] |
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| def spatial_shuffle(ddf, by="hilbert", column=None, npartitions=20, p=10, **kwargs): | |
| """ | |
| A function that spatially shuffles a Dask-GeoSeries object by a method | |
| or a user-defined column | |
| Parameters | |
| ---------- | |
| by : str | |
| partitioning method or column |
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