Python for Geospatial Data Analysis

Bonny P. McClain · 2022

💎 PremiumIntermediate★★★★350 pagesISBN 978-1098104788

O'Reilly book covering Python geospatial stack — GeoPandas, Rasterio, Folium, and spatial ML with real-world datasets.

Why you should read this
Learn to automate GIS workflows with Python. The bridge between button-clicking GIS and production-grade spatial analysis.

Key Topics

GeoPandasRasterioShapelyFoliumSpatial SQLPostGIS + Pythonscikit-learn Spatial ML

Chapters (5)

1Python Geospatial Stack8 key concepts

Setting up environment, key libraries

2Vector Analysis with GeoPandas14 key concepts

Reading, analyzing, visualizing vector data

3Raster Processing12 key concepts

Rasterio, xarray for satellite imagery

4Web Mapping10 key concepts

Folium, Kepler.gl interactive maps

5Spatial Machine Learning14 key concepts

Classification, clustering with spatial features

Real-World Applications

Automated report generation
Batch satellite processing
Interactive dashboards

Best For

GIS analysts learning PythonData scientists adding spatial skillsAutomation engineers

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