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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

Reprojecting a Shapefile from one projection to another

Working with spatial data from multiple sources leads to data that's most likely from multiple regions on Earth with multiple coordinate systems. To perform consistent spatial analysis, we should transform all our input data into the same coordinate system. This means reprojecting your Shapefile into your chosen working coordinate system.

In this recipe, we will reproject a single Shapefile from ESPG:4326 into a web mercator system EPSG:3857 for use in a web application.

How to do it...

Our goal is to reproject a given Shapefile from one coordinate system to another; the steps to do this are as follows:

  1. Create a new Python file named ch02_06_re_project_shp.py in your /ch02/code/working/ directory and add the following code:
    #!/usr/bin/env python
    # -*- coding: utf-8 -*-
    
    import ogr
    import osr
    import os
    
    shp_driver = ogr.GetDriverByName('ESRI Shapefile')
    
    # input SpatialReference
    input_srs = osr.SpatialReference()
    input_srs...
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