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Python Geospatial Analysis Cookbook

You're reading from   Python Geospatial Analysis Cookbook Over 60 recipes to work with topology, overlays, indoor routing, and web application analysis with Python

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Length 310 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment FREE CHAPTER 2. Working with Projections 3. Moving Spatial Data from One Format to Another 4. Working with PostGIS 5. Vector Analysis 6. Overlay Analysis 7. Raster Analysis 8. Network Routing Analysis 9. Topology Checking and Data Validation 10. Visualizing Your Analysis 11. Web Analysis with GeoDjango A. Other Geospatial Python Libraries
B. Mapping Icon Libraries
Index

Appendix A. Other Geospatial Python Libraries

We have covered many libraries and examples but we haven't covered them all. This appendix is meant to quickly go over the other libraries out there that play a special role in the Python geospatial working environment. This list is definitely not complete and I have not had the pleasure of working with all these libraries at the time of writing.

The listing is a resource for further reading and experiments that will, hopefully, provide you with a step in the right direction to solve your specific problems. Each description of a library starts with the official library name followed by a short description and a link to the web page:

Library name

Description

Website

Rtree

This is a Python wrapper of libspatialindex that provides advanced spatial indexing features

http://toblerity.org/rtree

rasterio

This is a Mapbox creation that aims at working with rasters in an easier manner

https://github.com/mapbox/rasterio

Fiona...

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