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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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Author (1):
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 Diener Diener
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Diener
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Toc

Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Geospatial Python Environment 2. Working with Projections FREE CHAPTER 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

Introduction

Discovering how two datasets spatially relate to each other when they are placed over one another is called overlay analysis. An overlay can be compared to a sheet of tracing paper. For example, you could overlay the tracing paper on top of your base map and see what areas overlap each other. This process is and was a game changer in spatial analysis and modeling. Computer-aided GIS computations can therefor automatically identify where two geometry sets spatially touch for example.

The goal of this chapter is to give you a feel for the most common overlay analysis functions, such as unions, intersects, and symmetrical differences. These are based on the Dimensionally Extended nine intersection model (DE-9IM), which can be found at http://en.wikipedia.org/wiki/DE-9IM, and describes our list of possible overlays. All processes that we use or name here are derived using a combination of these nine predicates.

Introduction

We will explore these topology rules in depth in Chapter 9, Topology...

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