📝 GADM
This library provides all countries's national and prefectural boundaries in the form of geopandas dataframe, by dynamically fetching from GADM dataset.
⚙️ Installation
pip install gadm🏃 How to Run
Basic usage
import geopandas as gpd
from gadm import GADMDownloader
downloader = GADMDownloader(version="4.0")
country_name = "Vietnam"
ad_level = 0
gdf = downloader.get_shape_data_by_country_name(country_name=country_name, ad_level=ad_level)
assert isinstance(gdf, gpd.GeoDataFrame)
gdf.plot()Use with visualization library
GADM's data frame can be interactively visualized on a jupyter notebook with folium
import folium as fl
import geopandas as gpd
from gadm import GADMDownloader
downloader = GADMDownloader(version="4.0")
country_name = "Vietnam"
ad_level = 1
gdf = downloader.get_shape_data_by_country_name(country_name=country_name, ad_level=ad_level)
m = fl.Map(zoom_start=10, tiles="OpenStreetMap")
for _, r in gdf.iterrows():
sim_geo = gpd.GeoSeries(r["geometry"]).simplify(tolerance=0.001)
geo_j = sim_geo.to_json()
geo_j = fl.GeoJson(data=geo_j, style_function=lambda x: {"fillColor": "orange"})
fl.Popup(r["VARNAME_1"]).add_to(geo_j)
geo_j.add_to(m)
m
Download satellite images based on boundaries from gadm
Check the following example
🎛 Development Environment
conda env create --file environment.yml
conda activate gadm
