QGIS : becoming a GIS power user : learning path : master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user / Anita Graser, Ben Mearns, Alex Mandel, Víctor Olaya Ferrero, Alexander Bruy.

"Learning path."

Includes bibliographical references and index.

Cover; Copyright; Credits; Preface; Table of Contents; Module 1: Learning QGIS, Third Edition; Chapter 1: Getting Started with QGIS; Installing QGIS; Running QGIS for the first time; Introducing the QGIS user interface; Finding help and reporting issues; Summary; Chapter 2: Viewing Spatial Data; Loading vector data from files; Dealing with coordinate reference systems; Loading raster files; Loading data from databases; Loading data from OGC web services; Styling raster layers; Styling vector layers; Loading background maps; Dealing with project files; Summary.

Chapter 3: Data Creation and EditingCreating new vector layers; Working with feature selection tools; Editing vector geometries; Using measuring tools; Editing attributes; Reprojecting and converting vector and raster data; Joining tabular data; Using temporary scratch layers; Checking for topological errors and fixing them; Adding data to spatial databases; Summary; Chapter 4: Spatial Analysis; Analyzing raster data; Combining raster and vector data; Vector and raster analysis with Processing; Leveraging the power of spatial databases; Summary; Chapter 5: Creating Great Maps.

Advanced vector stylingLabeling; Designing print maps; Presenting your maps online; Summary; Chapter 6: Extending QGIS with Python; Adding functionality using actions; Getting to know the Python Console; Creating custom geoprocessing scripts using Python; Developing your first plugin; Summary; Module 2: QGIS Blueprints; Chapter 1: Exploring Places -- from Concept to Interface; Acquiring data for geospatial applications; Visualizing GIS data; The basemap; Summary; Chapter 2: Identifying the Best Places; Vector data -- Extract, Transform, and Load; Raster analysis.

Publishing the results as a web applicationSummary; Chapter 3: Discovering Physical Relationships; Hydrological modeling; Spatial join for a performant operational layer interaction; The CartoDB platform; Leaflet and an external API: CartoDB SQL; Summary; Chapter 4: Finding the Best Way to Get There; Postgres with PostGIS and pgRouting; OpenStreetMap data for topology; Database importing and topological relationships; Creating the travel time isochron polygons; Generating the shortest paths for all students; Web applications -- creating safe corridors; Summary; Chapter 5: Demonstrating Change.

Leveraging spatial relationshipsTopoJSON; The D3 data visualization library; Summary; Chapter 6: Estimating Unknown Values; Importing the data; Interpolated model values; A dynamic web application -- OpenLayers AJAX with Python and SpatiaLite; Summary; Chapter 7: Mapping for Enterprises and Communities; Google Sheets for data management; The cartographic rendering of geospatial data -- MBTiles and UTFGrid; Interacting with Mapbox services; Putting it all together; Going further -- local MBTiles hosting with TileStream; Summary; Module 3: QGIS 2 Cookbook; Chapter 1: Data Input and Output.

Online resource; title from digital title page (viewed on March 23, 2020).

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