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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

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Product type Paperback
Published in Sep 2019
Publisher
ISBN-13 9781789959277
Length 456 pages
Edition 3rd 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 (15) Chapters Close

Preface 1. Section 1: The History and the Present of the Industry FREE CHAPTER
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

Summary

In this chapter, we learned how to create three real-world products, which are used every day in government, science, and industry. Apart from where this analysis is typically done with black box packages—costing thousands of dollars—we were able to use very minimal and free cross-platform Python tools. And in addition to the examples in this chapter, you now have some more reusable functions, algorithms, and processing frameworks for other advanced analyses, which will allow you to solve new problems that you come across in fields such as transportation, agriculture, and weather.

In the next chapter, we'll move into a relatively new area of geospatial analysis: real-time and near real-time data.

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