Spatial information software is used in this subject. Software is supplied.
In this subject spatial scientists are introduced to solving complex spatial problems using programming techniques. Two open source programming languages, R and Python, are introduced to develop a life-long learning capability in spatial programming. Open source spatial analysis software is also explored to provide the student with a more comprehensive spatial science toolbox than is provided by popular commercial GIS and remote sensing software applications. Programming techniques are demonstrated by solving selected spatial modelling problems. Intermediate level knowledge of geographic information science is assumed. Students who complete this subject will have advanced skills in programming techniques to solve a spatial modelling problem.
No offerings have been identified for this subject in 2020.
HD/FL
One session
School of Environmental Sciences
Restricted to: Postgraduate, Bachelor of Science, Bachelor of Environmental Science students
Intermediate level knowledge of Geographic Information Science, equivalent to SPA432, and fundamental knowledge of remote sensing, equivalent to SPA441, are assumed.
Spatial information software is used in this subject. Software is supplied.
The information contained in the CSU Handbook was accurate at the date of publication: October 2020. The University reserves the right to vary the information at any time without notice.