Students are responsible for all associated travel and resources (if applicable).
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 2022.
HD/FL
One session
School of Agricultural, Environmental and Veterinary Sciences
No enrolment restrictions
Intermediate level knowledge of Geographic Information Science, equivalent to SPA432 or SPA308, and fundamental
knowledge of remote sensing, equivalent to SPA441 or SPA217, are assumed.
The following table summarises the assessment tasks for the online offering of SPA452 in Session 2 2021. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
Students are responsible for all associated travel and resources (if applicable).
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: June 2022. The University reserves the right to vary the information at any time without notice.