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Distance Learning: Geographic Information Systems for veterinary and human health - Introduction
| Acronym: | DL-EPIGIS |
| Project type: | Capacity Building |
| Time frame: | 2007 - todate |
| Funding agency: | ITM |
| Geographic keyword: Europe | Africa | Asia | Latin America | |
| General keyword: Decision support | GIS | Training | |
| Specific keyword: Spatial epidemiology |
ONGOING PROJECT
Introduction:
The use of GIS in the domains of human and veterinary has been recognized as being important during the last decade. In the domain of veterinary research, Cringoli et al. (2005), Brianti et al. (2004), Conraths et al. (2003), de La Rocque et al. (2005), Hendrickx et al. (2001, 2004), Norstrom (2001), Pinron et al. (2005) and Rizzoli et al. (2004) reviewed existing GIS systems.
This GIS-Epidemiology module is part of the MSc course in Veterinary Tropical Diseases of the Department of Veterinary Tropical Diseases, of the Faculty of Veterinary Science, Onderstepoort, RSA. This module is currently being developed by Avia-GIS and will be operational in the second half of 2008.
General objective:
The objective of the module is to familiarize the participant with the use of geographic information systems with particular reference to spatial epidemiology and the development of spatial decision support systems. After the module the participant should be able to visualize spatial information derived from different data sources such as field measurement, topographical data and remotely sensed derived data. He/she should be able to make simple spatial models based on buffer analysis and surface analysis.
Course structure:
Theory:
- What is GIS
- The core concept of GIS
- The components of a GIS
- Data models in GIS
- Design of a GIS
- Input, editing and output of data in a GIS
- Data display
- Data editing
- Projection issues
- Managing a GIS database
- Importing and linking tabular data
- Data sources on the web
- Basic GIS analysis
- Querying the data
- Overlay operations on vector data
- Buffer operations
- Overlay operations on raster data
- Creation and analysis of surfaces
- Interpolation
- Density analysis
- Proximity analysis
Practical:
All practical sessions focus on an existing case studies from veterinary health domain. Through hands-on exercises the participant will acquire the necessary skills to conduct an GIS project in an epidemiological context. A sample GIS project in an epidemiological setting is worked out. It goes through the different steps of a GIS-project. The tasks to be performed will help the students to learn the methods to accomplish GIS projects. The exercises (15) are worked out for ArcGIS, Manifold and QuantumGIS.
Legend to the figures:
Figure 1: Linking spatial data and attribute data (Chapter: Introduction)
Figure 2: Raster resolution (Chapter: Data Models)
Figure 3: Density and distance calculation (Chapter Surface Modeling)
Figure 4: Building a query in Manifold (Exercises)