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.

No offerings have been identified for this subject in 2022.

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 Agricultural, Environmental and Veterinary Sciences

Enrolment Restrictions

No enrolment restrictions

Assumed Knowledge

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.

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; and
  • be able to design, construct and implement programming techniques to solve a spatial modelling problem.

Syllabus

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; and
  • application of programming techniques to spatial modelling problems.

Indicative Assessment

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).

Item Number
Title
Value %
1
Programming knowledge quiz
0
2
Programming tasks for gis
20
3
Programming tasks for remote sensing
20
4
Spatial programming project / portfolio
60

Special Resources

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.

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