| Semester 2, 2023 Online | |
| Units : | 1 |
| School or Department : | School of Surveying & Built Environment |
| Grading basis : | Graded |
| Course fee schedule : | /current-students/administration/fees/fee-schedules |
Staffing
Course Coordinator:
Overview
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:
- Discuss spatial analysis and modelling techniques for GIS applications;
- Define the concepts and techniques involved in spatial analysis and modelling;
- Choose and apply appropriate analytical operations and techniques needed for a particular GIS applications;
- Analyse the relevance and validity of results from a specific spatial analysis and modelling task.
Topics
| 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
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
| Description | Group Assessment |
Weighting (%) | Course learning outcomes |
|---|---|---|---|
| Problem Solving 1 | No | 25 | 1,2,3,4 |
| Problem Solving 2 | No | 25 | 1,2,3,4 |
| Take home examination | No | 50 | 1,2,3 |