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Unit of study_
OLET2612: GIS: Thinking Spatially
2024 unit information
Rapid advances in space and aerial-borne remotely sensed technologies and the proliferation of geo- referenced data, through location-enabled devices, have dramatically transformed the way geographic information is produced and shared. This presents exciting opportunities for exploring geographical pattern in environmental and social landscapes. This growing 'geocyberspace' of information comprises diverse aspects of society and the environment. As this information is often utilised in understanding processes and addressing critical social and environmental problems there is an increased demand for modelling and advanced analysis approaches that handle geospatial data. This unit will provide the conceptual background to more advanced GIS analysis applications and spatial reasoning methods in the context of contemporary environmental and social issues. The course is designed to provide an introduction to spatial analysis techniques available within a GIS environment, explore a diversity of both social, health, business and environmental applications. In addition the unit aims to address key issues currently emerging from GIS applications including spatial data analytics, techniques for managing data uncertainty, GIS ethics and participatory GIS.
Unit details and rules
Managing faculty or University school:
Geosciences Academic Operations
| Code | OLET2612 |
|---|---|
| Academic unit | Geosciences Academic Operations |
| Credit points | 2 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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It is assumed students already have an understanding of basic GIS concepts and analysis methods which can be acquired through OLEO1609 GIS: Geographic Information Systems (0 cp) |
At the completion of this unit, you should be able to:
- LO1. recognise the role of spatial analysis in understanding pattern in social and environmental landscapes, business systems, and health
- LO2. construct spatial data sets including interpolation of continuous variables
- LO3. apply advanced geospatial data analytics
- LO4. understand geospatial data structures and the importance of design in database construction
- LO5. understand the importance of spatio-temporal scale
- LO6. demonstrate an ability to evaluate and understand the implications of data uncertainty in geographical analysis
- LO7. adopt principles of geographical reasoning and analysis in resolving complex social and environmental problems
- LO8. reflect on how the outcomes of spatial models can inform decision making and influence policy, and consider ethical issues associated with geospatial data.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Intensive August 2024
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Online | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
