Last modified: 25 Mar 2016 11:38
This module will introduce students to a selection of more advanced geospatial tools and techniques for analysing spatial data. This will include for example: geostatistics, cluster analysis, kriging, and network analysis. A number of ‘real world’ applications will illustrate the application of these spatial tools and techniques. Emphasis will be placed on obtaining a sound understanding of the fundamentals and principles of each technique, as well as how to select the correct technique for solving a problem, the analysis of the spatial data, and the interpretation of the results. ArcGIS software will be used for the practical work.
Study Type | Postgraduate | Level | 5 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | None. | Sustained Study | No |
Co-ordinators |
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This module will introduce students to a number of the more advanced geospatial tools and techniques for analysing spatial data. This will include: geostatistics, cluster analysis, kriging network analysis, MCE, and modelling. A number of real world applications will be used as the data exploration, spatial analysis, and visualisation. Emphasis will be placed on obtaining a sound understanding of the fundamentals and principles of each technique, as well as selection of the correct technique for a problem, analysis of the data, and interpretation of the results. A number of different GIS and remote sensing/image processing software tools will be used as the basis for the project.
Information on contact teaching time is available from the course guide.
100% Continuous Assessment - A number of short Practical Exercise Projects Duly Completed, covering a number of techniques, and one short assignment (25%) and one project assignment (75%).
There are no assessments for this course.
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