comp
holder  


 
Programme  Information

 
.


DT249
BSc in Information Systems
and Information Technology

 

Now accepting applications for January 2009

SDEV4005 (Stage 4)
Spatial Databases (5 ECTS)

 

 

Prerequisite Modules


Description

This course focuses on the use of database management systems (DBMS) to store spatial information. A Geographical Information System is a computer system designed to facilitate the collection, management, and analysis of large volumes of geographical knowledge. A spatially enabled DBMS is a central component of a Geographical Information System (GIS). GIS has a major role to play in managing the national physical and informational infrastructure. The understanding of advanced spatially enabled DBMS is vital in implementing any information system where geographic data is required. This course focuses on the role of the DBMS in geographical applications. 


Aims

The aim of this module is to familiarise students with the features of a spatially enabled database systems and to develop applications that use the spatial database extensions.


Learning Outcomes

On successful completion of this module, the student will be able to:

  1. use a database to store and query spatial data

  2. develop applications that use a spatially enabled DBMS

  3. distinguish and use appropriate database models

  4. apply the various query languages appropriate to spatial querying.

  5. understand the extensions required by application programs to handle spatial data.


Learning and Teaching Methods

Lectures, self-study, labs, tutorials, and any combination of discussion, case study, problem-solving exercises, readings, seminars, and computer-based learning.


Content

Foundations: Fundamental geographic concepts for GIS The world in spatial terms, how natural and man made features can be stored in a DBMS. Qualitative and quantitative location e.g. coordinate systems and geo-referencing. Maps as representation of the world and of information. Geometric and thematic information.

Algorithms for GIS: Intersection of lines, operations on polygons, network traversal, auto-correlation, statistical operations, searching.

Spatial representations: Raster, vector, TIN, quadtrees, R-trees, scan orders, polygon coverage, discrete objects, networks, time, connections and topology, networks, distance and direction, flow and diffusion, spatial hierarchies, boundaries, spatial patterns, attributes of relationships.

Applications of geospatial data: Transportation networks, natural resources, soil data, oceanography, land cover, geology, climate, terrain, land records, administrative boundary data, demographic studies, and health data Spatial databases

Spatial data: definitions, formats, models, queries the relational model, advanced SQL, data modelling techniques, implementing a simple database, post relational database models, object-relational and object-oriented models, spatial data structures, spatial indexing e.g. R-Tree, networking, database issues in GIS. The course will involve considerable practical work on a range of appropriate software e.g. Oracle, PostgreSQL, GML, Java.


Assessment

The methods of assessment to be used to measure the learning objectives stated above are written examination and continuous assessment including one or more of assignment, essay, problem-solving exercise, oral presentation, and class or lab tests.

  • Continuous Assessment: 30%
  • Examination: 70%

Recommended Reading

  • Spatial databases - with applications to GIS, P. Rigaux, M. Scholl, A. Voisard, Morgan Kaufmann Publishers, 2002
  • Spatial databases - A tour, S. Shekhar and S. Chawla, ISBN 013-017480-7, Prentice Hall, 2003
  • Pro Oracle Spatial By Ravikanth V. Kothuri, Albert Godfrind, Euro Beinat, ISBN: 1-59059-383-9
  • GIS a computing perspective: Michael Worboys and Mat Duckham CRC press, ISBN 0415283752
  • ISO Standards for Geographic Information: Wolfgang Kresse Kian Fadaie, Springer, ISBN 3540201300.
  • GML: Geographic Markup Language Foundations for the Geo-Web, Ron Lake, ISBN 0470871547, Wiley, 2004
  • Geographic Information Systems and Science, P. Longley, D.J. Maguire, M.F. Goodchild, D.W. Rhind (Eds.), 2002
  • International Journal of Geographical Information Science, Taylor & Francis.
  • National Center for Geographic Information & Analysis (NCGIA) - www.ncgia.ucsb.edu/
  • The Open Geospatial Consortium, Inc. (OGC) - http://www.opengeospatial.org/
  • ESRI a leading GIS software vendor - http://www.esri.com/ 
  For more information contact
Ciarán O'Leary

 

Hit Counter