LSGI 3244 - Spatial Analysis
Semester 2, 2010-11
3 credits
Tuesday Lect (14:30-15:50): CF 305 Lab (16:30-18:20): FG 311
Teacher: Dr. Bo Wu (lsbowu@polyu.edu.hk)
Tutor: Dr. TSE Oi-chi, Rebecca (lsrtse@polyu.edu.hk)
Objective:
To provide an understanding of the fundamental principles and techniques of spatial analysis;
To enable students become proficient in the use of conventional and modern spatial analysis techniques;
To enable students to properly apply spatial analysis techniques to practical problems.
English communication skills, team spirit and critical thinking attributes will be fostered in the teaching and learning process, through lab sessions, class discussions and group project.
Learning Approach:
Lecture
Seminar/tutorial
Lab/Practical
Assignments
Self study
Learning Outcomes:
At the end of this subject students who gain a pass should be able to:
Define various types of spatial analysis
Explain the various types of spatial analysis techniques
Interpret spatial analysis results
Apply different spatial analysis techniques for a given set of data
Keyword Syllabus:
Spatial analysis functions required in a GIS
Nature of spatial data
Geometric spatial data analysis
Statistical spatio-tempral data analysis
Relational spatial data analysis
Spatial analysis for decision making: Case analysis
Text books
Chou, Y.-H., 1997, Exploring Spatial Analysis in Geographic Information Systems. Onword Press. 474pp.
Fotheringham, S. and Rogerson, P. (eds.), 1994. Spatial analysis and GIS. Taylor & Francis. 281pp.
Paul A. Longley, Michael F. Goodchild, David J. Maguire, David W. Rhind, 2005. Geographic Information Systems and Science, John Wiley & Sons, Ltd.
References/Readings
DeMers, M.N., Fundamentals of Geographic Information Systems. John Wiley & Sons, Inc. 486pp.
Fisher, M., Schlten, H. and Unwin, D., 1996. Spatial analytical perspectives on GIS. Taylor & Francis. 256pp.
Li., Z., Zhou, Q. and Kainz, W. (eds.), 2004. Advances in Spatial Analysis and Decision Making. A.A. Balkema Publisher. 321pp.
Longley, P. and Batty, M. (eds.), 1996. Spatial analysis: modeling in a GIS environment. GeoInformation International. 392pp.
Grading
Classroom attendance and participation 15%
Midterm test 20%
Final exam 40%
Labs and projects 25%