SPA407 Applied Geostatistics (8)
Abstract
This subject covers the fundamental topics of geostatistics and demonstrates their application in the geosciences.
Core concepts and algorithms for geostatistical modelling are covered, with a focus on approaches used to characterise spatial and spatiotemporal distributions of geoscientific data.
On completion, students should be able to select, apply, validate and evaluate appropriate geostatistical approaches to characterise and quantify spatial and spatiotemporal distributions of variables of interest. The subject incorporates the use of geographic information systems to integrate geostatistical techniques in the wider spatial sciences discipline. |
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+ Subject Availability Modes and Location
| Session 2 | | Online | Albury-Wodonga Campus |
Continuing students should consult the SAL for current offering details: SPA407
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Environmental Sciences |
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Assumed Knowledge|
A basic understanding of statistical methodology at the introductory level.
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Enrolment restrictions|
Undergraduate students may not enrol in this subject unless they have permission of their Course Director and the Subject Coordinator. |
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Learning OutcomesUpon successful completion of this subject, students should:
- be able to use geostatistical software at a level to which novel geostatistical problems consistent with the subject objectives can be successfully addressed
- be able to critically evaluate and validate geostatistical modelling results
- be able to appropriately select and apply geostatistical approaches for geoscience-based applications, including GIS and remote sensing
- be able to apply, interpret and differentiate between uncertainty models
- be able to apply, interpret and differentiate between geostatistical estimation and simulation models
- be able to choose and describe adequate spatial continuity models for different applications
- be able to statistically characterise spatially referenced data and understand implications of different spatial sampling methods
- be able to explain and illustrate the importance of using geostatistics for geoscience applications for spatial and spatiotemporal characterisation and quantification
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SyllabusThe subject will cover the following topics:
- Introduction to geostatistical modelling: approaches and models
- Exploratory data analysis techniques used in geostatistics
- Sampling design, sample size and their implications for geostatistical analysis
- Spatial continuity analysis and modelling
- Estimation and simulation techniques
- Assessment of uncertainty models
- Software for geostatistical modelling
- Geostatistical case studies for environmental applications using geographic information systems and remote sensing
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The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.
