|| EAM1620 |
|| ADVANCED TECHNIQUES IN GEOGRAPHICAL INFORMATION SYSTEMS |
|| 2004/2005 |
|| Dr Richard M Lucas |
|| Semester 2 |
|| Dr Aled P Rowlands |
|| EAM1320 |
| Course delivery
|| Lecture || 10 Hours |
|| Practical || 10 Hours |
|| Other || 30 Hours Fieldwork |
|Assessment Type||Assessment Length/Details||Proportion|
|Semester Assessment|| Research paper focusing on the use of GIS for a specific application.||50%|
|Semester Assessment|| Fieldwork report based on planning, acquisition, analysis, interpretation and presentation of data obtained for the Cambrian Mountains.||50%|
|Supplementary Assessment|| Resubmit research paper and fieldwork report.|| |
Learning outcomesOn successful completion of this module students should be able to:
1. Identify main sources of GIS data and their use for particular applications.
2. Demonstrate an understanding of the functionality of GIS software and appropriately select tools for specific applications.
3. Handle spatial data in both two and three-dimensions and develop spatial models of dynamic processes.
4. Undertake field studies to support the collection of GIS data.
The course, which is applications focused, will introduce the students to GIS techniques for terrain analysis, hydrological modeling, and landscape assessment and ecosystem modeling. To cover the social sciences, the use of GIS in applications ranging from geography of disease, water quality, public health and agricultural disease will be addressed. The course will also contain a field visit to the Cambrian Mountains.
Manipulation and analysis of vector, raster and tabular data, cartography and map projections, development and design of databases and integration of data from various sources, advanced programming and statistical analysis.
Geography of disease, water quality, public health and agricultural disease. Using examples, the functionality of GIS software (e.g., network analysis, geocoding) will be explored and advanced techniques demonstrated.
Integration of digital elevation models (DEMs), generated using photogrammetry, lidar, ASTER and SAR interferometry, into a GIS and methods of terrain analysis including topographic and hydrological modeling. The use of DEMs for vegetation characterization, landscape assessment, glacial hazard and flood risk assessment, and hydrological and ecosystem modeling will also be outlined and demonstrated.
Field visit (in conjunction with EAM1320: Advanced Remote Sensing) to the Cambrian Mountains (mid Wales) to the collection of data for input to GIS.
Time-series analysis of data for land use and land cover change assessment and raster-based modeling.
This module is at CQFW Level 7