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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

Finding out whether a point is inside a polygon


A point inside a polygon analysis query is a very common spatial operation. This query can identify objects located within an area such as a polygon. The area of interest in this example is a 100 m buffer polygon around bike paths and we would like to locate all schools that are inside this polygon.

Getting ready

In the previous section, we used the schools table to create a buffer. This time around, we will use this table as our input points table. The bikeways table that we imported in Chapter 3, Moving Spatial Data from One Format to Another, will be used as our input lines to generate a new 100 m buffer polygon. Be sure, however, that you have the two datasets in your local PostgreSQL database.

How to do it...

  1. Now, let's dive into some more code to find schools located within 100 m of the bikeways in order to find points inside a polygon:

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    
    import json
    import psycopg2
    from geojson import loads, Feature...
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