GISC404-12S1 (C) Semester One 2012

Spatial Analysis

15 points

Details:
Start Date: Monday, 20 February 2012
End Date: Sunday, 24 June 2012
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 4 March 2012
  • Without academic penalty (including no fee refund): Sunday, 20 May 2012

Description

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.

Learning Outcomes

  • After completing this course, you are expected to be able to:

  • Know the range of statistical techniques used in the analysis of spatial data
  • Understand issues in analysing spatial data
  • Apply basic statistical and spatial analysis methods to simple research questions
  • Be confident is utilising a range of software packages for analysing spatial data
  • Explore, describe and model spatial data
  • Adequately present spatial analytical research

Prerequisites

Subject to the approval of the Programme Director, GIS. RP: GEOG205, GEOG324

Restrictions

Recommended Preparation

Course Coordinator

For further information see School of Earth and Environment Head of Department

Textbooks / Resources

Recommended Reading

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.

Indicative Fees

Domestic fee $840.00

* 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 .

All GISC404 Occurrences

  • GISC404-12S1 (C) Semester One 2012
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