SPA402 Spatial Statistics (8)
CSU Discipline Area: Spatial Science (SPASC)
Duration: One session
Abstract:
This subject provides an introduction to and overview of the application of statistical techniques in spatial data analysis. The fundamental approach used will be to highlight the practical value of using modern techniques instead of previous compromises. To this end, case studies from several discipline areas will be used together with a brief historical perspective. A feature of this subject will be the practical component involving data analysis and interpretation for various problems using computer packages and algorithms.
+ Subject Availability Modes and Locations
| Session 2 | |
|---|---|
| Distance | Wagga Wagga |
Continuing students should consult the SAL for current offering details: SPA402
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Prerequisite(s):
Objectives:
Upon successful completion of this subject, students should:
Be able to describe the use of smoothing and interpolation in producing maps and in estimation problems;
Be able to sample spatial features, test their patterns and estimate their densities;
Be able to interpret the results of an analysis of a mapped point pattern;
Be able to demonstrate an understanding of the different techniques that are required across a range of applications such as geostatistics, field experiments, ecology and landscape;
Be able to develop the required skills to use computer facilities in execution of spatial analysis and interpretation.
Syllabus:
The subject will cover the following topics:
An overview of - history of the subject and areas of application via case studies sampling methods for 2D data smoothing techniques and their role in other analyses graphical methods for interpretation packages and computer skills; An indepth coverage of - spatial patterns sampling methods in 2D smoothing and interpolation use of the variogram and autocorrelation 'kriging' and 'cokriging' case studies in ecology, geostatistics and field experiments.
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.