September 2023
Intermediate to advanced
272 pages
4h 26m
Japanese
Content preview from Pythonによる地理空間データ分析 ―例題で学ぶロケーションインテリジェンスBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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付録Aその他のリソース
本書のGitHubリポジトリに加えて、以下にいくつかの有用なライブラリ、学習講座、Webサイト、組織を示します。
A.1 地理空間データ分析用Pythonライブラリ
- ArcGIS API for Python（https://developers.arcgis.com/python/）
- Census（https://pypi.org/project/census/）
- Geopandas（https://geopandas.org）
- GDAL（https://pypi.org/project/GDAL/）
- geemap（https://geemap.org）
- Forest at Risk（https://ecology.ghislainv.fr/forestatrisk/）
- missingno（https://pypi.org/project/missingno/）
- Xarray（https://docs.xarray.dev/）
- OSMnx（https://osmnx.readthedocs.io/）
- Matplotlib（https://matplotlib.org）（NumPy（https://numpy.org）上に構築）
A.2 さらなる探索のリソース
- National Geospatial Program（https://oreil.ly/cLNOo）
- Geographic Resources Analysis Support System (GRASS)（https://grass.osgeo.org）
- OpenGeoportal（http://opengeoportal.io）
- ServirGlobal（https://www.servirglobal.net/ ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.