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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

dbfpy


Both OGR and PyShp read and write the dbf files because they are part of the shapefile specification. However, both libraries have a very basic dbf support. Occasionally you will need to do some heavier duty dbf work. The dbfpy module is a pure Python module dedicated to working with dbf files. It is hosted on sourceforge.net but has an entry on PyPI. However, the PyPI entry is not correctly configured and you have to force easy_install to find the download by specifying the download directory:

easy_install -f http://sourceforge.net/projects/dbfpy/files/dbfpy/2.2.5/dbfpy

If you are using pip to install packages, use the following command:

pip install http://downloads.sourceforge.net/project/dbfpy/dbfpy/2.2.5/dbfpy-2.2.5.tar.gz

The following shapefile has over 600 dbf records representing US Census Bureau tracts which make it a good sample for trying out dbfpy: https://geospatialpython.googlecode.com/files/GIS_CensusTract.zip

Let's open up the dbf file of this shapefile and look at the...

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