12451 (v.3) Spatial Modelling 582

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):

4554 (v.7) Spatial Analysis 581

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. Examples and applications.

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. demonstrated that they understand the impact of choosing differentthematic classifications in the representation of geographic data, critically analysed whether certain map symbolisations might misrepresent reality, understood the importance of selecting appropriate map projections, colour schemes and map scales, an understanding of the role of graphic visualisation and cartographic communication in improving our understanding of the world around us, knowledge of the different thematic mapping techniques and how to select the appropriate techniques 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.

Text and references listed above are for your information only and current as of September 30, 2003. Please check with the unit coordinator for up-to-date information.

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, Oxford University Press. Scholten H and Stillwell J, (eds)., (1990), Geographical Information systems for Urban and Regional Planning, 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, Geoinformation International, Pearson Professional Ltd.

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).

Unit Assessment Breakdown:

Assignments 45%, Mid - term exam 15%, Exam 40%. This is by grade/mark assessment

Year	Location	Period	Internal	Area External	Central External
2004	Bentley Campus	Semester 2	Y	Y