10433 (v.3) Modelling Techniques for Spatial Data 681

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Area:	Department of Spatial Sciences
Credits:	25.0
Contact Hours:	5.0
Lecture:	1 x 2 Hours Weekly
Tutorial:	1 x 1 Hours Weekly
Laboratory:	1 x 2 Hours Weekly
Other Requisite(s):	Admission: to Postgraduate Spatial Science program
Syllabus:	Directed study and research. Mathematical and statistical techniques for spatial data. Various interpolation techniques. Spatial statistics, Kriging. Time series analysis. Simulation techniques for spatiotemporal data. Fractal surfaces. Remote sensing data in simulation and modelling studies.
Unit Outcomes:	On completion of this unit students will have - Gained skills in the advanced analysis of geographic data and become prepared for the data analysis challenges that await them in their Honours or Postgrad work.
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:	Bailly T.C and Gantrell A.C., (1995), Interactive spatial data analysis, Longman. Bonham-Carter., (1994), Geographic Information Systems for Geoscientists - Modelling with GIS, Kidlington, United Kingdom, Pergamon/Elsevier. Burrough P.A and MacDonell R.,(1998), Principles of Geographic Information Systems. New York, Oxford University Press. Cliff A.D and Ord J.K., (1981), Spatial Processes - Models and Applications, London Pion Ltd. Davis J.C., (1986), Statistics and Data Analysis in Geology, 2nd ed, New York, John Wiley. Isaaks E.H and Srivatava R.M., (1989), An introduction to Applied Geostatistics, New York, Oxford University Press.
Unit Texts:	No prescribed texts.
Unit Assessment Breakdown:	Assignment 5%, Exam 50%, Literature review 10%, Project 15%, Test 20%. This is by grade/mark assessment.
Year Location Period Internal Area External Central External 2004 Bentley Campus Semester 2 Y