SPA553 Applied Geostatistics (8)

This subject covers the fundamental concepts and algorithms for geostatistical modelling and demonstrates their application in the geosciences. The subject incorporates the use of geographic information systems to integrate geostatistical techniques in the wider spatial sciences discipline. On completion, students will be able to select, apply, validate and evaluate appropriate geostatistical approaches to characterise and quantify the spatial distributions of variables of interest.

No offerings have been identified for this subject in 2019.

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

HD/FL

Duration

One session

School

School of Environmental Sciences

Enrolment Restrictions

Postgraduate study only

Assumed Knowledge

Basic understanding of statistics

Incompatible Subjects

SPA407

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to explain and illustrate the importance of using geostatistics for geoscience-based applications
  • be able to select and describe spatial continuity models
  • be able to select and apply geostatistical approaches for geoscience-based applications
  • be able to critically evaluate and validate geostatistical modelling results

Syllabus

This subject will cover the following topics:
  • Introduction to geostatistical modelling
  • Exploratory data analysis techniques used in geostatistics
  • Spatial continuity analysis and modelling
  • Geostatistical estimation and uncertainty
  • Software for geostatistical modelling

Special Resources

Programming software (R) and spatial information software (ArcGIS) are used in this subject. R can be downloaded for free. ArcGIS is supplied.

Contact

For further information about courses and subjects outlined in the CSU handbook please contact:

Current students

Future students

The information contained in the CSU Handbook was accurate at the date of publication: May 2019. The University reserves the right to vary the information at any time without notice.

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