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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

Editing shapefiles


Shapefiles are a fundamental data format in GIS both for exchanging data as well as performing GIS analysis. In this section, we'll learn how to work with these files extensively. In Chapter 2, Geospatial Data, we discussed shapefiles as a format which can have many different file types associated with it. For editing shapefiles, and most other operations, we are only concerned with two types: the .shp file and the .dbf file.

The .shp file contains the geometry while the .dbf file contains the attributes of the corresponding geometry. For each geometry record in a shapefile, there is one dbf record. The records aren't numbered or identified in any way. This means when adding and deleting information from a shapefile, you must be careful to remove or add a record to each file type to match.

As discussed in Chapter 4, Geospatial Python Toolbox, there are two libraries to edit shapefiles in Python. One is the the Python bindings to the OGR library. The other is the PyShp library...

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