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Practical GIS

You're reading from   Practical GIS Learn novice to advanced topics such as QGIS, Spatial data analysis, and more

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787123328
Length 428 pages
Edition 1st Edition
Languages
Tools
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Toc

Table of Contents (22) Chapters Close

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Setting Up Your Environment 2. Accessing GIS Data With QGIS FREE CHAPTER 3. Using Vector Data Effectively 4. Creating Digital Maps 5. Exporting Your Data 6. Feeding a PostGIS Database 7. A PostGIS Overview 8. Spatial Analysis in QGIS 9. Spatial Analysis on Steroids - Using PostGIS 10. A Typical GIS Problem 11. Showcasing Your Data 12. Styling Your Data in GeoServer 13. Creating a Web Map 14. Appendix

Calculating statistics


In GIS, statistics can be computed from both raster and vector data. However, even calculating raster statistics often involves some kind of vector data. For example, we would like to include some statistical indices in our assessment regarding the suitable areas. More precisely, we would like to include at least the minimum, maximum, and average slope, the minimum, maximum, and average suitability, the average distance from the mass point of the settlements, and the minimum distance from waters. For this task, we cannot use our rasters alone; we need to calculate indices from them only where they overlap with our suitable areas. For this, we need our suitable areas as polygons, and then we can leave the rest of the work to QGIS.

In order to get our suitable areas as polygons, we need to delimit them on our suitability layer. The most trivial first choice is to select every cell with an excellent rating. However, how many cells do we have with more than 75% suitability...

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