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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
2. Learning about Geospatial Analysis with Python FREE CHAPTER 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

Measuring distance

The essence of geospatial analysis is discovering the relationships of objects on Earth. Items that are closer together tend to have a stronger relationship than those that are farther apart. This concept is known as Tobler's First Law of Geography. Therefore, measuring distance is a critical function of geospatial analysis.

As we have learned, every map is a model of the Earth and they are all wrong to some degree. For this reason, measuring the accurate distance between two points on the Earth while sitting in front of a computer is impossible. Even professional land surveyors (who go out in the field with both traditional sighting equipment and very precise GPS equipment) fail to account for every anomaly in the Earth's surface between point A and point B. So, to measure distance, we must look at the following questions:

  • What are we measuring...
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