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This course provides an introduction to a range of statistical techniques used in the analysis of spatial data. A comprehensive lab programme uses a variety of software packages to explore visualisation, exploratory spatial data analysis, spatial autocorrelation, point pattern analysis, spatial statistics and the modifiable areal unit problem (MAUP).
This course provides an introduction to a range of statistical techniques used in the analysis of spatial data. It will cover the basic concepts and techniques of spatial data analysis (SDA) and provide a wide range of applications examples from various fields such as geology, demographics, epidemiology and environmental sciences. A comprehensive lab programme uses a variety of software packages (including ArcGIS, Geoda, geoR and WinBUGS) to explore and analyse spatial data using the techniques taught in the course.
Subject to the approval of the Programme Director, GIS. RP: GEOG205, GEOG324
GEOG323
GEOG205, GEOG324
For further information see School of Earth and Environment Head of Department
Bivand, R. S., Pebesma, E. J., Gómez-Rubio, V; Applied Spatial Data Analysis with R ; Springer, 2008.
Illian, J., Penttinen, A., Stoyan, H. & Stoyan, D; Statistical Analysis and Modelling of Spatial Point Patterns ; Wiley, 2008.
O'Sullivan, David , Unwin, D; Geographic information analysis ; 2nd ed; John Wiley & Sons, 2010.
GIS Portal Course Outline for 2012 Learn for all online course materials
Domestic fee $840.00
International Postgraduate fees
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see School of Earth and Environment .