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 Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837639175
Length 432 pages
Edition 4th 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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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1:The History and the Present of the Industry
2. Chapter 1: Learning about Geospatial Analysis with Python FREE CHAPTER 3. Chapter 2: Learning about Geospatial Data 4. Chapter 3: The Geospatial Technology Landscape 5. Part 2:Geospatial Analysis Concepts
6. Chapter 4: Geospatial Python Toolbox 7. Chapter 5: Python and Geospatial Algorithms 8. Chapter 6: Creating and Editing GIS Data 9. Chapter 7: Python and Remote Sensing 10. Chapter 8: Python and Elevation Data 11. Part 3:Practical Geospatial Processing Techniques
12. Chapter 9: Advanced Geospatial Modeling 13. Chapter 10: Working with Real-Time Data 14. Chapter 11: Putting It All Together 15. Assessments 16. Index 17. Other Books You May Enjoy

Technical requirements

In this chapter, we will use the rasterio module, which we introduced in Chapter 4, Geospatial Python Toolbox. However, if you’ve installed it using Conda, it may be several versions behind the latest version that we’ll need for this chapter. Regardless of how you installed it, you can ensure you have the latest version by running the following:

pip install rasterio -U

That command will force pip to upgrade to the latest version from PyPy if your version is older. At that point, you will only be able to manage the package using pip.

The code files for this chapter are available on GitHub: https://github.com/PacktPublishing/Learning-Geospatial-Analysis-with-Python-Fourth-Edition/tree/main/B19730_09_Asset_Files.

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