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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

Performing an identity function (difference + intersection)


In ESRI geoprocessing terminology, there is an overlay function called identity. This is a very useful function to call when you want to keep all the original geometry boundaries of ONLY the input features combined with an intersection of input features.

This boils down to a formula that calls for both difference and intersect. We first find the difference (input feature - intersection), then add the intersection to create our results as follows:

               (input feature – intersection) + intersection = result

How to do it...

  1. For all you curious folks who want to learn how to do this, type out the following code; it will help your muscle memory:

    ##!/usr/bin/env python
    # -*- coding: utf-8 -*-
    from shapely.geometry import asShape, MultiPolygon
    from utils import shp2_geojson_obj, out_geoj, write_wkt
    from os.path import realpath
    
    def create_polys(shp_data):
        """
        :param shp_data: input GeoJSON
        :return: MultiPolygon Shapely...
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