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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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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 FREE CHAPTER 2. Geospatial Data 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 Modeling 9. Real-Time Data 10. Putting It All Together Index

Editing shapefiles


Shapefiles are a fundamental data format in GIS used 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 while 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 Python bindings to the OGR library. The other is the PyShp library...

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