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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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Table of Contents (20) Chapters Close

Python Geospatial Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
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 Other Geospatial Python Libraries
Mapping Icon Libraries
Index

Checking the validity of LineStrings


Working with road data has many areas to watch out for and one of these is invalid geometry. Our source data is OSM and is, therefore, collected by a community of users that are not trained by GIS professionals, resulting in errors. To execute spatial queries, the data must be valid or we will have results with errors or no results at all.

PostGIS includes the ST_isValid() function that returns True/False on the basis of whether a geometry is valid or not. There is also the ST_isValidReason() function that will output a text description of the geometry error. Finally, the ST_isValidDetail() function will return if the geometry is valid along with the reason and location of the geometry error. These three functions all accomplish similar tasks and selecting one depends on what you want to accomplish.

How to do it...

  1. Now, to determine if geodata.lines are valid, we will run another query that will list all invalid geometries if there are any:

    #!/usr/bin/env...
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