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Python Geospatial Analysis Cookbook

You're reading from  Python Geospatial Analysis Cookbook

Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781783555079
Pages 310 pages
Edition 1st Edition
Languages
Toc

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 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

LineStrings must not overlap


Overlapping lines are hard to find usually because you cannot see them on a map. They might be deliberate, for example, bus route network lines that might overlap. This exercise sets out to discover these overlapping lines for better or for worse.

The following diagram shows a set of two input LineStrings and you can see clearly where they overlap, but this is a cartographic visual inspection. We need this to work on many, many lines that you cannot always see as clearly.

How to do it...

  1. Let's dive into the code:

    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    
    from utils import shp2_geojson_obj
    from utils import create_shply_multigeom
    from utils import out_geoj
    
    in_shp_line = "../geodata/topo_line.shp"
    in_shp_overlap = "../geodata/topo_line_overlap.shp"
    
    shp1_data = shp2_geojson_obj(in_shp_line)
    shp2_data = shp2_geojson_obj(in_shp_overlap)
    
    shp1_lines = create_shply_multigeom(shp1_data, "MultiLineString")
    shp2_lines_overlap = create_shply_multigeom(shp2_data, "MultiLineString...
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