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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).
Subject to the approval of the Programme Director. RP: GEOG-DIGI205 or GISC422 or equivalent, GEOG323
GEOG-DIGI205 or GISC422 or equivalent, GEOG323
Students must attend one activity from each section.
Bivand, Roger S. , Pebesma, Edzer J., Gomez-Rubio, Virgilio; Applied spatial data analysis with R ; Springer, 2008.
Grekousis, George; Spatial analysis methods and practice : describe - explore - explain through GIS ; First edition; Cambridge University Press, 2020.
Illian, Janine; Statistical analysis and modelling of spatial point patterns ; John Wiley, 2008.
O'Sullivan, David , Unwin, D; Geographic information analysis ; Second edition; John Wiley & Sons, Inc., 2010.
Domestic fee $1,286.00
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 on the departments and faculties page .