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Nau mai ki GISC404-STAT450 - welcome to GISC404-STAT450. 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) to explore and analyse spatial data using the techniques taught in the course.
Nau mai ki GISC404-STAT450 - welcome to GISC404-STAT450. This course introduces 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) to explore and analyse spatial data using the techniques taught in the course.
After completing this course, you are expected to be able to:Know the range of statistical techniques used in the analysis of spatial dataUnderstand issues in analysing spatial dataApply basic statistical and spatial analysis methods to simple research questionsBe confident in utilising a range of software packages for analysing spatial dataExplore, describe and model spatial dataAdequately present spatial analytical research
Subject to approval of the Head of School.
Students must attend one activity from each section.
12 hrs lectures (6 x 2-hour lectures)9 hrs labs (3 x 3-hour labs)129 hrs self-study and project work (lab reporting, article reviews, take home assignment)
Varvara Vetrova
There are no prescribed books for this course however all of the topics covered in the course are included in the four texts listed below. Please refer to these books when sourcing reading material for each topic in addition to the ‘Selected Reading’ lists provided. • O’Sullivan, D. & Unwin, D. (2014). Geographic Information Analysis (2nd ed). London: John Wiley.• Grekousis, G. (2020). Spatial analysis methods and practice: describe - explore - explain through GIS (Ebook). Cambridge University Press.• Illian, J., Penttinen, A., Stoyan, H. & Stoyan D. (2008). Statistical Analysis and Modelling of Spatial Point Patterns. Wiley• Bivand R., Pebesma E. & Gomez-Rubio V. (2008). Applied Spatial Data Analysis with R (Use R). Springer
Learn - for all online course materials See the Masters in GIS website for further information
Prerequisites: Subject to the approval of the PMGST/PGDipGST Programme DirectorRecommended preparation: GEOG205 or GISC422, GEOG323
Domestic fee $1,138.00
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 Mathematics and Statistics .