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This course provides an introduction to spatial analysis, an important tool for exploring, analysing, modelling and visualising geospatial data. Students will acquire the knowledge and skills necessary to investigate and understand spatial patterns resulting from social and physical processes operating on the surface of Earth, such as epidemics, crime and pollution. A variety of software packages will be introduced and used to explore different aspects of spatial analysis. A number of issues inherent to dealing with spatial data, such as the ecological fallacy and modifiable areal unit problem (MAUP), will also be highlighted.
The outcomes envisaged are both subject specific (enhancing students’ GIS skills) as well as transferable. By the end of this course you will be able to:Understand what spatial methods are appropriate for varying data types.Be aware of some of the societal problems and critiques associated with GIS.Carry out an advanced GIS or spatial analysis research project using GIS.Be competent users of mainstream GIS software, gaining skills employers require. Critically appraise spatial analysis in published work.
30 points of 200-level Geography, including GEOG205, or in special cases with approval of the Head of Department.
Students must attend one activity from each section.
Haining, Robert P;
Spatial data analysis : theory and practice;
Cambridge University Press, 2003.
O'Sullivan, David , Unwin, D;
Geographic information analysis;
John Wiley & Sons, 2010.
Domestic fee $850.00
International fee $4,000.00
* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.
For further information see
Geography on the department and colleges page.