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Learning Geospatial Analysis with Python

You're reading from   Learning Geospatial Analysis with Python If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how.

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Product type Paperback
Published in Oct 2013
Publisher Packt
ISBN-13 9781783281138
Length 364 pages
Edition 1st 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 (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python 2. Geospatial Data FREE CHAPTER 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modelling 9. Real-Time Data 10. Putting It All Together Index

Creating a flood inundation model


In this next example, we'll begin to enter the world of hydrology. Flooding is one of the most common and devastating natural disasters which affects nearly every population on the globe. Geospatial models are a powerful tool in estimating the impact of a flood and mitigating that impact before it happens. We often hear on the news that a river is reaching flood stage. But that information is meaningless if we can't understand the impact. Hydrological flood models are expensive to develop and can be infinitely complex. These models are essential for engineers building flood control systems. However, first responders and potential flood victims are only interested in the impact of an impending flood.

We can begin to understand the flooding impact in an area using a very simple and easy-to-comprehend tool called a flood inundation model. This model starts with a single point and floods an area with the maximum volume of water that a flood basin can hold at...

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