Advanced Quantum GIS (QGIS) and GRASS
Aimed at users already familiar with the basics of Quantum GIS (QGIS), this course introduces participants to geodatabases, vector processing and raster processing, allowing QGIS to be used as a tool for advanced GIS analyses.
Participants will acquire the following key skills:
- Creating and managing geodatabases
- Generating surfaces through interpolation
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- Introduction to the PostGIS and SpatiaLite geodatabases
- Creating databases
- Importing shapefiles
- What is SQL?
- Tutorial 1: Using PostGIS in Quantum GIS
- Vector processing
- Analysis and research tools
- Geometry tools
- Tutorial 2: Geoprocessing tools in Quantum GIS
- Introduction to GRASS GIS
- Setting up a GRASS mapset and location
- Importing/Exporting georeferenced data
- Raster and vector modules in GRASS
- Tutorial 3: Creating heat maps
- Tutorial 4: Determining the watershed and drainage system for a catchment
The course features a series of practical tutorials in which participants carry out exercises, further developing skills learnt during the course.
Tutorial 1: Using PostGIS in Quantum GIS
A PostGIS database will be developed, populated and queried using tools and plugins available in QGIS. Participants will learn how to fetch data using SQL queries and how to use PostGIS functions.
Tutorial 2: Geoprocessing tools in Quantum GIS
In this tutorial, participants will find the areas of forest that 2 types of non-migratory and migratory birds use as their hunting grounds in the New Forest.
Several vector geoprocessing tools will be used to buffer and subtract vectors to find the common hunting grounds.
Tutorial 3: Creating heat maps
Using GRASS GIS and a hypothetical dataset, a heat map of Anti-Social Behaviour Orders (ASBOs) in Staffordshire will be generated.
Tutorial 4: Determining the watershed and drainage system for a catchment
In this tutorial, participants will determine a hydrological catchment and natural drain network on the Isle of Wight using modules in GRASS GIS