SPA407 Applied Geostatistics (8)

This subject covers the fundamental concepts and algorithms for geostatistical modelling and demonstrates their application in the geosciences. 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.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.


Session 2 (60)
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.

Subject Information

Grading System



One session


School of Environmental Sciences

Enrolment Restrictions

Undergraduate students may not enrol in this subject unless they have permission of their Course Director and the Subject Coordinator.

Assumed Knowledge

A basic understanding of statistical methodology at the introductory level.

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to use geostatistical software at a level to which novel geostatistical problems 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 apply, interpret and differentiate between geostatistical estimation and simulation models
  • be able to apply, interpret and differentiate between uncertainty 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-based applications


This 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


Current Students

For any enquiries about subject selection or course structure please contact Student Central or or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 275 278 (free call within Australia) or enquire online.

The information contained in the 2018 CSU Handbook was accurate at the date of publication: August 2018. The University reserves the right to vary the information at any time without notice.