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Chapter 8 demonstrates advanced geospatial modeling
using Python 3 to create a color hillshade like this as well
as several other commonly used real-world examples.
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The book opens with the incredible story of how the grass-roots, open-source Ushahidi project stopped the Ebola epidemic in its tracks. It continues with one of the best histories of geospatial technologies you'll find. The chapters closes with you creating a complete GIS using only 60 lines of Python code!
Chapter 2 teaches you the data types you'll encounter on your journey into geospatial analysis. Chapter 3 surveys commonly-used geospatial software to give you the context you need to navigate geospatial solutions. Chapter 4 covers Python geospatial tools. Chapter 5 dives into GIS operations with Python. Chapter 6 teaches you Python 3 remote sensing techniques. And Chapter 7 is a one-of-a-kind examination of elevation data with several examples. Chapter 8 covers complete geospatial modeling techniques for real-world situations like the color hillshade in this post. Chapter 9 explores the emerging world of real-time tracking data. And Chapter 10 pulls the whole book together to build a complete application.
You get over 100 examples with test data and code plus explanations in either a print or e-book available from Packt Publishing or pretty much any other online book seller. If you get the print book, or if you just want to see the images, I've made them available as a zip file download here.
While many books in this category do a great job of covering Python APIs to different libraries, this book focuses as much as possible on algorithms to show you the raw calculations that make up geospatial analysis. This approach allows you to not only run the examples but break things down line by line to see how it works and recombine pieces of code on your own to go beyond the book.
Click the link on the right to check it out on Amazon!
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