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Geospatial Development By Example with Python

You're reading from   Geospatial Development By Example with Python Build your first interactive map and build location-aware applications using cutting-edge examples in Python

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785282355
Length 340 pages
Edition 1st Edition
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Author (1):
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Pablo Carreira Pablo Carreira
Author Profile Icon Pablo Carreira
Pablo Carreira
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Table of Contents (12) Chapters Close

Preface 1. Preparing the Work Environment 2. The Geocaching App FREE CHAPTER 3. Combining Multiple Data Sources 4. Improving the App Search Capabilities 5. Making Maps 6. Working with Remote Sensing Images 7. Extract Information from Raster Data 8. Data Miner App 9. Processing Big Images 10. Parallel Processing Index

Chapter 7. Extract Information from Raster Data

More than just a resource for visual information, raster data are samples of a given spatial attribute, whose values can be analyzed in order to produce valuable information.

Is this chapter, we will extract information from raster data with special emphasis on statistical information. Following the previous examples, we will use the digital elevation model to obtain values such as the maximum and minimum altitude of a given region, separate altitude ranges into classes, and produce histograms and other statistical information. Going beyond simple numerical values, we will display all the information on beautifully colored maps.

The topics covered by this chapter are:

  • How to obtain statistics from raster data
  • The use of programming techniques, such as lazy evaluation and memorization, to avoid unnecessary calculation
  • How to format tabular data output
  • How to colorize maps and choose suitable colors for them
  • How to blend color maps in order...
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