This module covers:
1. GIS definitions & terminology: knowledge of raster and vector approaches, spatial data structures and formats, geometry and attributes).
2. Building a GIS database (ArcGIS): data capture by GPS survey, Ordnance Survey downloads, aerial photography, web-based (e.g. Google Earth), satellite & remotely sensed images (ERDAS Imagine).
3. Analysis techniques: including multi-criteria suitability mapping (QGIS and ArcGIS); vector data calculations of distance, area and buffer functions; digital terrain & surface modelling: gradient, aspect, zones of visibility. Testing hypotheses: modelling hazard occurrence, pollution, disease and environmental impact.
4. GIS cartographic output: display of spatial data, professional presentation and visualisation techniques.
5. GIS applications: in research, government and industry. Importance of spatial data in solving real-world ecological and environmental management problems. Potential future developments of GIS, web-based innovations.