This unit of study is aimed at developing advanced skills in spatial predictive modelling including mapping of environmental properties and image classification. The units begins with an introductory module on key concepts in GIS, and the use of the R ecosystem for spatial science. In this module you will learn how to process spatial data in a reproducible manner and get it into a format ready for spatial modelling. In the second module we will cover spatial modelling approaches including geostatistics, statistical and machine learning models. Finally, in the third module you will have an opportunity to apply your knowledge in a spatial modelling project of your choice.
Unit details and rules
Academic unit | Life and Environmental Sciences Academic Operations |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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None |
Prohibitions
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None |
Assumed knowledge
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Basic GIS knowledge |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Patrick Filippi, patrick.filippi@sydney.edu.au |
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