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Python Open Source Spatial Programming & Remote Sensing - Home Python Open Source Spatial Programming & Remote Sensing - Home
  • PyGIS - Open Source Spatial Programming & Remote Sensing

0 - Get Started in Spatial Python

  • Welcome - Let’s get started
  • Getting Started in Python
  • Setting up a Normal Python Environment
  • Geospatial Environment Installation Guide
  • An Introductory Example
  • Learn More

1 - Spatial Data Types in Python

  • Spatial Data
  • Data Storage Formats
  • Working with Spatial Vector Data using GeoPandas
  • Manipulating Spatial Objects: Points, Lines, Polygons in Python
  • Spatial Raster Data in Python

2 - Nature of Coordinate Systems in Python

  • What is a CRS?
  • Understanding a CRS: Proj4 and CRS codes
  • Affine Transforms
  • Vector Coordinate Reference Systems (CRS)
  • Raster Coordinate Reference Systems (CRS)

3 - Vector Operations in Python

  • Attributes & Indexing for Vector Data
  • Proximity Analysis - Buffers, Nearest Neighbor
  • Merge Data & Dissolve Polygons
  • Extracting Spatial Data
  • Spatial Overlays and Joins
  • Spatial Joins
  • Point Density Measures - Counts & Kernel Density
  • Spatial Interpolation

4 - Raster Operations in Python

  • Reading & Writing Rasters with Rasterio
  • Reproject Rasters w. Rasterio and Geowombat
  • Resampling & Registering Rasters w. Rasterio and Geowombat
  • Band Math w. Rasterio
  • Replacing Values w. Rasterio
  • Rasterize Vectors w. Rasterio
  • Window Operations with Rasterio and GeoWombat

5 - Accessing OSM & Census Data in Python

  • Accessing OSM Data in Python
  • Accessing Census and ACS Data in Python

6 - Remote Sensing in Python

  • Reading/Writing Remote Sensed Images
  • Configuration manager
  • Editing Rasters and Remotely Sensed Data
  • Plot Remote Sensed Images
  • Remote Sensing Coordinate Reference Systems
  • Handle Multiple Remotely Sensed Images
  • Band Math & Vegetation Indices
  • Raster Data Extraction
  • Spatial Prediction using ML in Python

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Index

By Michael Mann, Steven Chao, Jordan Graesser, Nina Feldman

Supported by:
GW Geography
Creative Commons License


Reference our work