Spatial Visualisation (GEOM90007)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
Contact information
Semester 2
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
AIMS
Spatial Visualisation is about using and designing effective mechanisms for presenting and exploring the patterns embedded in large and complex data sets. Spatial Visualisation is especially important to spatial decision making, since geographic data sets are both voluminous and rich in structure. By addressing the presentation and interaction with spatial information, this subject complements other topics that deal with the storage and querying of spatial information (e.g. GEOM90018 Spatial Databases), and the processing of spatial information (e.g. GEOM90006 Spatial Analysis). This subject is vital for anyone wishing to work with geographic information systems or spatial databases, or in the area of geographic information science. It will also be of relevance to those with an interest in design, especially graphical and interaction design.
INDICATIVE CONTENT
Fundamentals of information visualisation and data graphics; human perception; foundations of user interface design; cartographic design; geovisualisation; exploratory spatial data analysis; evaluation of visualisation interfaces.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subject the student is expected to:
- Understand what makes visualisation of geographic information different from information visualisation in other domains
- Critically evaluate the designs of maps and user interfaces for spatial data
- Analyse big spatial data sets using geovisualisation techniques, and compare alternative technique.
Generic skills
On successful completion of this subject students should have the:
- Ability to apply knowledge of science and engineering fundamentals
- Ability to undertake problem identification, formulation, and solution
- Ability to communicate effectively, with the engineering team and with the community at large
- Capacity for creativity and innovation
- Understanding of professional and ethical responsibilities, and commitment to them.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Successful completion of the following subject, or equivalent, is required to enrol:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| GEOM90008 | Foundations of Spatial Information |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
| Description | Timing | Percentage |
|---|---|---|
One individual assignment on programming with R, equivalent to a report of 500 words, requiring approximately 12-14 hours work. Addresses the Intended Learning Outcomes (ILOs) 1 and 3. Due Week 4 (10%)
| Week 4 | 10% |
One individual assignment on programming with Processing, equivalent to a report of 500 words, requiring approximately 26-28 hours work. Addresses ILOs 1 and 3. Due Week 8 (20%)
| Week 8 | 20% |
Mid-semester test of 60 minutes. Addresses ILOs 1-3. Scheduled around Week 9 (25%)
| Week 9 | 25% |
Group-based deliverable (implementation and description) equivalent to a report of 1000 words per group describing their implementation, requiring approximately 34 hours of work per student. Addresses ILOs 1-3. Groups will consist of about 4 students. Due Week 14 (25%).
| During the examination period | 25% |
Group‐based deliverable (implementation and description) equivalent to a 1‐page individual participation report per student, requiring approximately 13 hours of work. Addresses ILOs 2 and 3. Due Week 14 (10%).
| During the examination period | 10% |
Group-based deliverable (implementation and description) equivalent to a 10 Minute oral presentation of the group project, requiring approximately 13-15 hours of work per student. Addresses ILOs 1-3. Due Week 12 (10%)
| Week 12 | 14% |
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Stephan Winter Mode of delivery On Campus (Parkville) Contact hours 24 hours of lectures, 24 hours practical work. Total time commitment 200 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
Recommended texts and other resources
- Tufte, E. (2001). The Visual Display of Quantitative Information. Graphics Press.
- Ward, M., Grinstein, G., and Keim, D. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters.
- Dykes, J., MacEachren, A., Kraak, M-J. (2005). Exploring Geovisualization. Pergamon.
- Subject notes
LEARNING AND TEACHING METHODS
Lectures will cover the foundation concepts and techniques important to understanding the design and analysis of visual and cartographic data presentation. In practical work, students will gain hands-on experience with a range of visualisation tools and techniques using R. Also other practical development tools, like the Processing language, will be applied to a range of spatial visualisation problems, including an international visualisation challenge.
INDICATIVE KEY LEARNING RESOURCES
- Tufte, E. (2001). The Visual Display of Quantitative Information. Graphics Press.
- Ward, M.; Grinstein, G., and Keim, D. (2010) Interactive Data Visualization: Foundations, Techniques, and Applications. A K Peters.
- Dykes, J., MacEachren, A., Kraak, M-J. (2005). Exploring Geovisualization. Pergamon.
CAREERS / INDUSTRY LINKS
Practical context and industry links are provided in the problem-based learning exercises.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Data Science Course Ph.D.- Engineering Course Master of Spatial Information Science Course Master of Geographic Information Technology Course Master of Philosophy - Engineering Course Doctor of Philosophy - Engineering Specialisation (formal) Spatial Specialisation (formal) Spatial - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
Last updated: 3 November 2022