ENVR08021 2019 Advanced Geographic Information Systems
Data management processes, incorporating prior learning from Terrestrial based modules in Yr's 2 & 3, are developed in order to provide the student with competence in a range of DBMS and GIS tasks utilising both ESRI GIS On-Line & GISPro. World Imagery and Living Atlas web services (Satellite imagery) are incorporated to provide content from a range of sources. The role of GIS for managing Unmanned Aerial Systems (Drone Technology) is explored for scanning and 3D modelling and Story Map production. A range of Open Source GIS software resources, including IGIS, QGIS, CMaps, AziMap, utilising Microsoft.NET technology are reviewed.
Learning Outcomes
On completion of this module the learner will/should be able to;
Organise diverse spatial and temporal datasets into layers for surface analysis and distance measurement using GIS Pro & GIS ON-Line.
Utilise satellite imagery sourced from ESRI Living Atlas to generate 3D modelling and for Story Map production
Construct cluster, proximity, orientation cartographic displays to determine spatial relationships within an environmental context.
Represent and explore attribute data to detect trends and directional influences, create maps using a range of output surfaces.
Demonstrate awareness of Open Source GIS Software, from a range of sources, specifying both the advantages and disadvantages of these resources.
Teaching and Learning Strategies
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Module Assessment Strategies
Formative - Practical activities performed in class
Summative - Assessment of spatial analysis tools and map production
Repeat Assessments
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Module Dependencies
Indicative Syllabus
Main components of surface analysis and measurement using spatial analysis tools.
Tasks using GIS applications to include advanced techniques for capture, store, query, analyse, display, and output.
Editing replicated data from an enterprise geodatabase over the web using the ArcGIS.com map viewer.
Coursework & Assessment Breakdown
Coursework Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Continuous Assessment | Coursework Assessment | UNKNOWN | 100 % | OnGoing | 1,2,3,4,5 |
Full Time Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
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Practical / Laboratory | Computer Laboratory | Advanced GIS | 3 | Weekly | 3.00 |
Independent Learning | UNKNOWN | Independent Learning | 4 | Weekly | 4.00 |
Module Resources
Wong, D.W.S. & Lee, J. (2005) Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS. Wiley & Sons.
Harris, R. & Jarvis, C. (2011) Statistics for Geography and Environmental Science. Prentice Hall.
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