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Mastering Geospatial Development with QGIS 3.x

You're reading from   Mastering Geospatial Development with QGIS 3.x An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788999892
Length 466 pages
Edition 3rd Edition
Languages
Tools
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Authors (6):
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Luigi Pirelli Luigi Pirelli
Author Profile Icon Luigi Pirelli
Luigi Pirelli
Richard Smith Jr., GISP Richard Smith Jr., GISP
Author Profile Icon Richard Smith Jr., GISP
Richard Smith Jr., GISP
Kurt Menke, GISP Kurt Menke, GISP
Author Profile Icon Kurt Menke, GISP
Kurt Menke, GISP
Shammunul Islam Shammunul Islam
Author Profile Icon Shammunul Islam
Shammunul Islam
John Van Hoesen, GISP John Van Hoesen, GISP
Author Profile Icon John Van Hoesen, GISP
John Van Hoesen, GISP
Simon Miles Simon Miles
Author Profile Icon Simon Miles
Simon Miles
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction FREE CHAPTER
2. A Refreshing Look at QGIS 3. Section 2: Getting Started
4. Styling Raster and Vector Data 5. Creating Spatial Databases 6. Preparing Vector Data for Processing 7. Preparing Raster Data for Processing 8. Section 3: Diving Deeper
9. Advanced Data Creation and Editing 10. Advanced Data Visualization 11. Section 4: Becoming a Master
12. The Processing Toolbox 13. Automating Workflows with the Graphical Modeler 14. Creating QGIS Plugins with PyQGIS and Problem Solving 15. PyQGIS Scripting 16. Other Books You May Enjoy

Performing analysis using SAGA

The System for Automated Geoscientific Automation (SAGA) environment contains powerful tools, some of which have very specific applications; for example, geostatistical analyses or fire and erosion modeling. However, we will explore some of the SAGA tools that have broader applications and often dovetail nicely with tools from other providers. Similar to GRASS, integrating the SAGA algorithms within the Processing Toolbox provides access to powerful tools within a single interface.

To explore some of the SAGA algorithms available through the Toolbox, we will work through a hypothetical situation and perform the analysis to evaluate the potential roosting habitat for the northern spotted owl.

We are going to continue using data from the provided ZIP file, and we will need the following files:

  • The elevation file (dems_10m.dem, available in the GRASS...
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