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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

Chapter 5. Python and Geographic Information Systems

This chapter will focus on applying Python to functions typically performed by a geographic information system (GIS) such as QGIS or ArcGIS. We will continue to use as few external dependencies as possible outside Python itself, so you have tools which are as reusable as possible in different environments. In this book, we separate GIS analysis and remote sensing from programming perspective, which means that in this chapter, we'll focus on mostly vector data.

As with other chapters in this book, the items presented here are core functions that serve as building blocks which can be recombined to solve challenges you will encounter beyond this book. This chapter includes the following topics:

  • Measuring distance
  • Converting coordinates
  • Reprojecting vector data
  • Editing shapefiles
  • Selecting data from within larger datasets
  • Creating thematic maps
  • Conversion of non-GIS data types
  • Geocoding

This chapter contains many code samples. In addition...

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