SPA452 Programming in GIS and Remote Sensing (8)

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.


Session 2 (60)
Albury-Wodonga Campus

Continuing students should consult the SAL for current offering details: SPA452. 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

Restricted to: Postgraduate, Bachelor of Science, Bachelor of Environmental Science students

Assumed Knowledge

Intermediate level knowledge of Geographic Information Science, equivalent to SPA432, and fundamental knowledge of remote sensing, equivalent to SPA441, are assumed.

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to describe and compare open source spatial software
  • be able to utilise open source spatial software to carry out spatial analysis and modelling
  • be able to apply programming skills to provide spatial analysis solutions
  • be able to design, construct and implement programming techniques to solve a spatial modelling problem


This subject will cover the following topics:
  • fundamentals of spatial analysis using the R programming language
  • fundamentals of spatial analysis using the Python programming language
  • open source spatial analysis software and its integration with R and Python
  • application of programming techniques to spatial modelling problems

Special Resources

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: May 2021. The University reserves the right to vary the information at any time without notice.