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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

Union polygons without merging


To demonstrate what merging is all about, we will take an example from the National Oceanic and Atmospheric Administration (NOAA) weather data. It provides an awesome minute-by-minute update of Shapefiles for your desire to download data. We will look at a one-week collection of weather warnings, and combine these with state boundaries to see where exactly warnings occurred within a state boundary.

The preceding screenshot shows us the polygons before the union operation in QGIS.

Getting ready

Make sure your virtual environment is, as always, fired up and run the following command:

$ source venvs/pygeo_analysis_cookbook/bin/activate

Next, switch to your /ch06/code/ folder to find finished code examples or create your empty file in the /ch06/working folder and follow along with the code.

How to do it...

The pyshp and shapely libraries are our two workhorses for this exercise:

  1. You can simply run this file in the command prompt to see the results as follows:

    >&gt...
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