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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st Edition
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

OGR


We touched on OGR as a way to handle WKT strings but its real power is as a universal vector library. This book strives for pure Python solutions but no single library even comes close to the variety of formats OGR can process.

Let's read a sample point shapefile using the OGR Python API. The sample shapefile can be downloaded as a zip file here: https://geospatialpython.googlecode.com/files/point.zip

This point shapefile has five points with single digit, positive coordinates. The attributes list the order in which the points were created, making it useful for testing. This simple example will read in the point shapefile, loop through each feature, and then print the x and y value of each point plus the value of the first attribute field:

>>> from osgeo import ogr
>>> shp = ogr.Open("point.shp")
>>> layer = shp.GetLayer()
>>> feature = layer.GetNextFeature()
>>> for feature in layer:
...     geometry = feature.GetGeometryRef()
...     print...
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