Geographic Information Systems (GIS) are increasingly being used in many disciplines, including among others, geography, ecology and conservation to help solve a wide range of real world problems using spatial data. As the current trend in these disciplines moves towards the analysis of large spatial datasets, employers often report shortages of relevant GIS skills. This module will introduce the use of GIS as a means of solving spatial problems providing you with marketable skills relevant to research and commercial needs. The module will cover a range of methods for collection, presentation and analysis of spatial data and hands-on training in the most commonly used GIS software. In the first half the module will cover the basics of GIS such as an introduction to the major concepts of GIS, data sources and methods of data acquisition, and how to create and transform maps. In the second half the module you will cover more advanced GIS operations such as manipulation of spatial data, spatial analysis of vector and raster data and as well as be introduced to Remote Sensing. No prior knowledge of GIS, statistics or programming is required and the module is designed for students from any discipline.
Lecture 10, Seminar/Computer Practical 22
A GIS generated map Visual Representation. Assessment Details: Mapping worth 20%.
10 minutes presentation and preparation of associated handout(s) Presentation. Assessment Details: Group presentation worth 30%.
1,500 words report Report. Assessment Details: Report of GIS analysis worth 50%.
Reassessment Method: Single instrument. 100% written assessment (2,500 words)
On successfully completing the module, students will be able to:
1) demonstrate a sound knowledge of the main concepts of GIS and Remote sensing.
2) show high confidence in the use of a commercial GIS software package.
3) prepare high quality maps and visualisations of spatial data.
4) perform spatial analysis to solve real world practical problems in geography, conservation and other disciplines.
5) interpret and communicate effectively the results of spatial data analysis
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