📝 GADM

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This library provides all countries's national and prefectural boundaries in the form of geopandas dataframe, by dynamically fetching from GADM dataset.

⚙️ Installation

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pip install gadm

🏃 How to Run

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Basic usage

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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

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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

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Check the following example

🎛 Development Environment

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conda env create --file environment.yml
conda activate gadm