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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

Product type Paperback

Published in Nov 2015

Publisher

ISBN-13 9781783555079

Length 310 pages

Edition 1st Edition

Languages

Python

Concepts

Geospatial Analysis

Table of Contents (15) Chapters

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

Chapter 1. Setting Up Your Geospatial Python Environment

In this chapter, we will cover the following topics:

Installing virtualenv and virtualenvwrapper
Installing pyproj and NumPy
Installing shapely, matplotlib, and descartes
Installing pyshp, geojson, and pandas
Installing SciPy, PySal, and IPython
Installing GDAL and OGR
Installing GeoDjango and PostgreSQL with PostGIS

You have been reading a chapter from

Python Geospatial Analysis Cookbook

Published in: Nov 2015

Publisher:

ISBN-13: 9781783555079

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