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Learning Geospatial Analysis with Python - Third Edition

You're reading from  Learning Geospatial Analysis with Python - Third Edition

Product type Book
Published in Sep 2019
Publisher Packt
ISBN-13 9781789959277
Pages 456 pages
Edition 3rd Edition
Languages
Author (1):
Joel Lawhead Joel Lawhead
Profile icon Joel Lawhead

Table of Contents (15) Chapters

Preface 1. Section 1: The History and the Present of the Industry
2. Learning about Geospatial Analysis with Python 3. Learning Geospatial Data 4. The Geospatial Technology Landscape 5. Section 2: Geospatial Analysis Concepts
6. Geospatial Python Toolbox 7. Python and Geographic Information Systems 8. Python and Remote Sensing 9. Python and Elevation Data 10. Section 3: Practical Geospatial Processing Techniques
11. Advanced Geospatial Python Modeling 12. Real-Time Data 13. Putting It All Together 14. Other Books You May Enjoy

Python and Geographic Information Systems

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

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

  • Measuring distance
  • Converting coordinates
  • Reprojecting...
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