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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

Section 3: Practical Geospatial Processing Techniques

This section is of an advanced level and it will require all of the skills you learned previously. It starts off with learning how to create geospatial models to answer specific questions. Further, it will show you a few techniques for building geospatial models and how it will help to predict the future using visualization concepts. We'll move on to accessing and processing real-time data. At the end of this section, we'll combine all that we learned in the previous sections and implement a system to create an outdoor running or hiking report based on GPS data and geotagged photos.

This section includes the following chapters:

  • Chapter 8, Advanced Geospatial Python Modeling
  • Chapter 9, Real-Time Data
  • Chapter 10, Putting It All Together
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