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302527 (v.1) Spatial Modelling 382
Area: | Department of Spatial Sciences |
Credits: | 25.0 |
Contact Hours: | 5.0 |
Lecture: | 1 x 2 Hours Weekly |
Other: | 1 x 1 Hours Weekly |
Laboratory: | 1 x 2 Hours Weekly |
Prerequisite(s): | 11711 (v.4) Spatial Analysis 281
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Syllabus: | The spatial modelling process and applications. Models based on purpose, methodology or logic. Map algebra and spatial modelling - Data driven and knowledge driven models, fuzzy logic method, conditional probability. Dempster-Shafer theory of evidence. Modelling spatial information for decision making - multi-attribute, multi-objective. Definition of factors, constraints, criterion maps and weights. |
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Unit Outcomes: | On completion of this unit students will have - Sufficient knowledge of cartographic techniques that will enable the production and use of effective visualisations of spatial information, understood the impact of choosing different thematic classifications in the representation of geographic data, critically analysed whether certain map symbolisations might misrepresent reality, an understanding of the importance of selecting appropriate map projections, colour schemes and map scales, understood the roleof graphic visualisation and cartographic communication in improving our understanding of the world around us, demonstrated knowledge of different thematic mapping techniques and how to select the appropriate technique according to the nature of the data set being represented, used desktop publishing software for high quality map output and become familiar with the different methods of thematic data collection and know government organisation that can provide thematic data needed for specialty maps such as soil maps, vegetation maps, population maps, and remotely sensed imagery. |
Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
Unit References: | Bonham-Carter., (1994), Geographic Information Systems for Geoscientists, Modelling with GIS. Computer Methods in the Geosciences, Vol 13, Pergammon Press. Burrough P and McDonnell R., (1998), Principles of Geographical Information Systems. New York, Oxford University Press. Scholten H and Stillwell J, (eds)., (1990), Geographical Information Systems for Urban and Regional Planning, Dordrecht, The Netherlands, Kluwer Academic Publishers. Fischer M and Getis A, (eds)., (1997), Recent Developments in Spatial Analysis, Spatial Statistics, Behavioural Modelling and Computational Intelligence, Berlin, Springer-Verlag. Longley P and Batty M., (1996), Spatial Analysis - Modelling in a GIS Environment. |
Unit Texts: | There is no textbook. A compilation of readings required for the unit will be forwarded. Students will also be required to consult published literature (both paper and World Wide Web). |
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Unit Assessment Breakdown: | Assignments 45%, Mid - term exam 15%, Final exam 40%. This is by grade/mark assessment. |
Field of Education: | 31100 Geomatic Engineering (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Informational | Result Type: | Grade/Mark |
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Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 2 | Y | Y | Y |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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