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DRPS : Course Catalogue : School of Geosciences : Postgraduate Courses (School of GeoSciences)

Postgraduate Course: Spatial Modelling (PGGE11092)

Course Outline
SchoolSchool of Geosciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course provides a broad introduction to the methods of representing the real world and storing geospatial information. Lectures explain the theory behind storage models and structures, emphasising vector and raster models, with a review of the so-called 2.5-dimensional (layer-based), 3-D and temporal structures. The course introduces database management systems and database methods in the context of GIS and also introduces the concept of formal data modelling. A practical stream provides a robust introduction to SQL using the Oracle relational database management system and an exercise in digital terrain modelling.
Course description Week 1
Representing Reality: An Introduction to Spatial Modelling

Week 2
Formal Data Modelling and Database Management
Practical: Introducing the Oracle Relational Database Management System and SQL

Week 3
Topology & Vector Data Models and Structures
Practical: SQL 2

Week 4
Raster and Hierarchical Data Models and Structures
Practical: SQL 3

Week 5
Adding Dimensions
Practical: Digital Terrain Modelling
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. understand the range of methods used to store spatial and attribute data in the context of geographical information systems and appreciate the development of these storage models and structures, together with database methods, and the implications of their legacy on current implementations
  2. understand the concept of database management and its implications
  3. critically review the available models and technologies, assessing their merits and shortcomings
  4. understand the concepts of data modelling and be able to deconstruct real-world problems into appropriate models
  5. use Structured Query Language (SQL) for the manipulation of objects within a relational database management system
Reading List
Reading List (Extensive list on Course Outline and Course Web Page)
- Burrough, P.A. and Frank, A.U. (1996) Geographic Objects with Indeterminate Boundaries. Taylor & Francis, London
- Langran, G. (1992) Time in Geographic Information Systems. Taylor & Francis, London
- Laurini, R. and Thompson, D. (1992) Fundamentals of Spatial Information Systems. Academic Press, London
- Shekhar, S. and Chawla, S. (2002) Spatial Databases: A Tour. Prentice Hall.
- Workboys, M.F. and Duckham, M. (2004) GIS: A Computing Perspective. CRC Press, Second Edition
Additional Information
Course URL
Graduate Attributes and Skills Not entered
KeywordsPGGE11092 Spatial Modelling,Data Modelling,Structured Query Language (SQL),Vector,Raster data mo
Course organiserMr Bruce Gittings
Tel: (0131 6)50 2558
Course secretaryMrs Karolina Galera
Tel: (0131 6)50 2572
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