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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
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Author (1):
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G√°bor Farkas G√°bor Farkas
Author Profile Icon G√°bor Farkas
G√°bor Farkas
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Table of Contents (15) Chapters Close

Preface 1. Setting Up Your Environment FREE CHAPTER 2. Accessing GIS Data With QGIS 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 Appendix

Vector analysis

We can get a partial result by only considering our vector layers, and running some vector analysis tools on them. There are different methods for different type of analysis; however, we can group the most frequently used methods into the following four groups:

  • Overlay analysis: Analyzing features according to their spatial relationships to other features. Common use cases are spatial queries and spatial joins.
  • Proximity analysis: Analyzing the relationship of features based on some distances. The heart of this type in a traditional desktop GIS software is the buffer tool, while the rest of the work is basically overlay analysis.
  • Neighborhood analysis: Analyzing (more often, statistically) neighbouring features of some input features. When we need to find the closest features to some input features, it is called a k-NN (k nearest neighbor) query.
  • Network analysis...
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