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GIS2405 Spatial Analysis and Modelling

Semester 2, 2023 Online
Units : 1
School or Department : School of Surveying & Built Environment
Grading basis : Graded
Course fee schedule : https://www.unisq.edu.au/current-students/administration/fees/fee-schedules
Version produced : 24 September 2023


Course Coordinator: Armando Apan


The strength of most geographic information systems (GIS) depends on their capability to perform spatial analysis and modelling. Considered as the heart of GIS, spatial analysis and modelling makes GIS a powerful tool for any application requiring spatial management. Thus, it is essential and advantageous for spatial scientists and professionals to be aware of the concepts, techniques and applications involved in spatial analysis and modelling.

Students will be introduced to the concepts, techniques, and applications of spatial analysis and modelling. Topics include: spatial statistics; overlay analysis; map algebra and cartographic modelling; spatial interpolation; surface analysis and terrain modelling; proximity analysis; network analysis; fuzzy sets; and spatial analysis issues and trends. Emphasis will be placed on how spatial analysis and modelling is used in practical applications, and a functional component of a modern spatial information system.

Course learning outcomes

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. Discuss spatial analysis and modelling techniques for GIS applications;
  2. Define the concepts and techniques involved in spatial analysis and modelling;
  3. Choose and apply appropriate analytical operations and techniques needed for a particular GIS applications;
  4. Analyse the relevance and validity of results from a specific spatial analysis and modelling task.


Description Weighting(%)
1. Overview of GIS and spatial analysis and modelling 5.00
2. The types and characteristics of analytical operations and modelling in GIS 10.00
3. Spatial pattern and arrangement of point, line, and polygon features 10.00
4. Spatial statistics 10.00
5. Overlay analysis, map algebra and cartographic modelling 10.00
6. Spatial interpolation, surface analysis and terrain modelling 10.00
7. Distance relationships and proximity analysis 10.00
8. Network analysis: routing, districting and cost and allocation functions 10.00
9. Fuzzy sets and fuzzy geographical objects 10.00
10. Issues and trends in spatial analysis and modelling 10.00
11. Applications and case studies 5.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Weighting (%) Course learning outcomes
Assignments Written Problem Solving 1 No 25 1,2,3,4
Assignments Written Problem Solving 2 No 25 1,2,3,4
Examinations Non-invigilated Take home examination No 50 1,2,3
Date printed 24 September 2023