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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

Clipping LineStrings to an area of interest


A project involving spatial data is typically geographically limited to within a specified boundary area, the so-called project area. The input data can come from multiple sources and usually extends outside the project area. Removing this excess data is sometimes critical to speed up spatial processes, and at the same time, it reduces data volume. Reductions in data volumes can also result in secondary speed-ups, for example, less time to transfer or copy the data.

In this recipe, we will take a boundary polygon represented by a circle Shapefile, and then remove all excess LineStrings that are outside this circle.

This process of clipping will remove all lines outside the clip area—that is, our project area of interest.

Note

A standard function called clip performs an intersection spatial operation. This is slightly different from a normal intersection function. The clip will NOT or should not retain the attributes attached to the clip area. Clipping...

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