Last modified: 22 May 2019 17:07
This module will introduce students to a number of introductory and fundamental geospatial tools and techniques for displaying and analysing geospatial data. This will include: navigation, measurement, spatial queries, geocoding, scripting, buffering, digitising, and overlay analysis. A number of ‘real world’ examples will be used to illustrate the application of the tools for data exploration, data capture, simple spatial analysis, mapping and visualisation. Emphasis will be placed on obtaining a sound understanding of the principles of each technique, as well as the importance of selecting the correct approach to a problem, analysing the data, and interpretation of the results.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Online | Sustained Study | No |
| Co-ordinators |
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This module will introduce students to a number of introductory and fundamental geospatial tools and techniques for displaying and analysing geospatial data. This will include: navigation, measurement, spatial queries, geocoding, scripting, buffering, digitising, and overlay analysis. A number of ‘real world’ examples will be used to illustrate the application of the tools for data exploration, data capture, simple spatial analysis, mapping and visualisation. Emphasis will be placed on obtaining a sound understanding of the principles of each technique, as well as the importance of selecting the correct approach to a problem, analysing the data, and interpretation of the results.
Information on contact teaching time is available from the course guide.
100% Continuous Assessment. Two practical assessments (weighting 25% and 75%).
A number of additional duly completed in-class assignments will be provided.
Students will receive feedback on coursework using Turnitin. Feedback on all assignments will be within two weeks.
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