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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

Calculating the area of a polygon

We have one more calculation before we move on to editing GIS data. The most basic unit of GIS is a point. Two points can form a line. Multiple lines that share endpoints can form a polyline, and polylines can form polygons. Polygons are used to represent everything from a house to an entire country in geospatial operations.

Calculating the area of a polygon is one of the most useful operations in GIS if we wish to understand the relative size of features. But in GIS, area calculations go beyond basic geometry. The polygon lies on the Earth, which is a curved surface. The polygon must be projected to account for that curvature.

Fortunately, there is a pure Python module simply called area that handles these complications for us. And because it's pure Python, you can look at the source code to see how it works. The area module's area...

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