Postgraduate Course: Further Spatial Analysis (PGGE11085)
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/ |
Taught in Gaelic? | No |
| Course description | This course examines some further methods of spatial analysis, with an emphasis on exploratory data analysis and the analysis of point data. Lecture topics include exploratory spatial data analysis, spatial interpolation, fundamentals of geostatistics, the handling of error and uncertainty in spatial data analysis. In addition to the lectures, students will undertake a practical introducing data interpolation and a project with the Geoda exploratory spatial data analysis software. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
It is RECOMMENDED that students have passed
Introduction To Spatial Analysis (PGGE11091)
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | It is RECOMMENDED that students have passed Introduction to Spatial Analysis (PGGE11091) |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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| Delivery period: 2012/13 Block 4 (Sem 2), Available to all students (SV1)
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WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 6-11 | | 14:00 - 15:50 | | | | | Central | Laboratory | | 6-11 | | 16:10 - 18:00 | | | |
| First Class |
First class information not currently available |
| 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:
- understand the uncertainty associated with many geographical data that are stored in GIS;
-understand the value of visual and statistical methods of exploratory spatial data analysis;
-understand the assumptions and use of the more common methods for interpolating point based observations to create data surfaces, including the fundamental principles of geostatistics;
-appreciate how errors may occur when data is conflated for analysis;
-have basic practical knowledge of how to conduct interpolation in GIS;
-have basic practical knowledge how to conduct exploratory spatial data analsysi with software such as Geoda;
-have developed skills in presenting technical information about a method of analysis by oral and written means;
-locate, read and summarise relevant literature, from both traditional and electronic media, to extend your understanding of the topics;
-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 your own learning through reading and the preparation of assignments, and reflect upon your learning experience. |
Assessment Information
100% coursework including practical exercises and oral presentation
|
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Recommended basic or preparatory reading:
Anselin, L (various from http://geodacenter.asu.edu/)
Burrough, P.A and McDonnell, R.A (1998) Principles of geographical information systems. Clarendon Press, Oxford.
Goodchild, M. F., Gopal, S. (1989) Accuracy of Spatial Databases. Taylor & Francis. London.
Heuvelink, G.M. (1998) Error propagation in environmental modelling with GIS. Taylor and Francis, London.
Lam, N.S. (1983) Spatial interpolation methods: a review. American Cartographer 10: 129-49.
O'Sullivan, D. and D. J. Unwin (2003) Geographic Information Analysis. Wiley, New York.
Webster, R and Oliver, M.A (1990) Statistical methods in soil and land resources survey. Oxford, OUP. 316p.
Zhang, J and Goodchild, M.F. (2002) Uncertainty in Geographic Information. London, Taylor & Francis.
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| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | PGGE11085 exploratory spatial data analysis; spatial interpolation; GIS |
Contacts
| Course organiser | Dr Neil Stuart
Tel: (0131 6)50 2549
Email: |
Course secretary | Ms Caroline Keir
Tel: (0131 6)50 2543
Email: |
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