Postgraduate Course: GeoVisualisation (PGGE11087)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Postgraduate Courses (School of GeoSciences) |
Other subject area | None |
| Course website |
http://www.geos.ed.ac.uk/postgraduate/MSc/GISpages.html |
Taught in Gaelic? | No |
| Course description | This module aims to highlight the need for effective visualization in the analysis and display of geographic information. In addition to the focus on theoretical and conceptual issues, the course contains a number of practicals that will enable students to gain experience in the use of Exploratory Data Analysis Techniques.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2014/15 Block 3 (Sem 2), Available to all students (SV1)
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Learn enabled: Yes |
Quota: 40 |
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Web Timetable |
Web Timetable |
| Class Delivery Information |
A growing number of techniques exist for the visualization of geographic data and increasingly are tied to interactive manipulation and analysis of such data. Such techniques have their foundation in cartographic principles. Given people¿s typically poor knowledge of cartographic design, attempts continue to be made to embed design principles within GIS and visualisation systems (automatic generalisation). This topic is returned to, later in the course, when we investigate developments in automated cartography.
A variety of visualisation and interactive techniques are considered the mainstay of exploratory data analysis techniques. Interaction and exploration of data can apparently be enhanced through greater levels of immersion. These ideas lead naturally to ideas of virtual and augmented reality. When combined with mobile technologies we can further explore ideas of augmented reality and begin to understand the constraints in the design and utilisation of intelligent spatial technologies. These ideas are also explored during the course.
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| Course Start Date |
12/01/2015 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 12,
Seminar/Tutorial Hours 12,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
74 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| No Exam Information |
Summary of Intended Learning Outcomes
By the end of this module, students should have achieved and demonstrated, or be able to achieve and demonstrate, the ability to:
General:
- locate, read and summarise relevant literature, from both traditional and electronic media, to extend their understanding of this topic
- develop reasoned arguments, firmly grounded in the available literature
- plan and write assignments, within the specified parameters and to a professional standard
- take responsibility for their own learning through reading and the preparation of assignments, and reflect upon the learning experience
Specific:
- understand the role of visualisation in geospatial data handling
- gain an understanding of the processes of visual cognition, and visualisation methodologies
- have an understanding of cartography, focusing on contemporary applications in the context of automated cartography
- be able to apply cartographic design principles to different types of data, understanding the importance of scale in visualising pattern.
- understand ideas of human computer interaction in the context of interactive visualisation and exploratory data analysis, and to know how to apply these techniques
- know the relative costs and benefits of a range of visualisation methodologies
- have understood developments in virtual reality and their application in augmented. |
Assessment Information
100% coursework including practicals and computer based assignments:
Map Design Task - 30% due week 4
GeoDa EDA Exercise - 70% due week 6 |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Lecture 1: visual cognition and cartography
Lab 1: ArcGIS: cartography
Lecture 2: Exploratory Spatial Data Analysis Techniques
Lab 2: Geoda for ESDA 1
Lecture 3: Schematisation: Cartograms and SOMs
Lab 3: Geoda for ESDA 2
Lecture 4: Generalisation of Spatial Data
Lecture 5: Virtual Reality and Augmented Reality
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| Transferable skills |
Not entered |
| Reading list |
Dodge, M. McDerby, M. Turner, M. 2008 Geographic Visualization: Concepts, Tools and Applications Wiley
Dorling, D. and Fairbairn, D., 1997. Chapter 1: The History of Cartograhy in Mapping: Ways of Representing the World. Insight into Human Geography. Addison Wesley Longman, Harlow. pp 6 ¿ 24
Kraak, M.-J. (1999), Visualising Spatial Distributions. in Geographical Information Systems, P. A. Longley, M. F. Goodchild, D. J. Maguire, and D. W. Rhind, eds., (John Wiley, New York), pp. 157-173.
M.J. Kraak and F.J. Ormeling 2003 Cartography : visualization of geospatial data 2nd ed Pearson Education
Kraak, M.J. and Ormerling, F.J., 2003. Geographic Information Systems and Maps in Cartography: Visualization of Spatial Data. Longman. Pp 1-19
Tufte, E.R., 1983. The visual display of qualitative information. Graphic Press, Cheshire Conneticut. 06410.
Tufte, E.R., 1990. Envisioning Information. Graphics Press, Cheshire CT.
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| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | PGGE11087 |
Contacts
| Course organiser | Dr William Mackaness
Tel: (0131 6)50 8163
Email: |
Course secretary | Miss Lynne Mcgillivray
Tel: (0131 6)50 2543
Email: |
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