Spatial Analysis

Subject GEOM90006 (2010)

Note: This is an archived Handbook entry from 2010.

Credit Points: 12.50
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2010:

Semester 2, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 24 hours lectures and 24 hours lab assignments
Total Time Commitment: 120 hours
Prerequisites: 451-610 Foundations of Spatial Information
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website:


Assoc Prof Stephan Winter


Melbourne School of Engineering Office
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
+ 61 3 9349 2182
+ 61 3 8344 7707

Subject Overview: Spatial analysis studies methods to characterize spatial patterns and processes of different spatial dimensions and in geographic scale. The subject will cover spatial autocorrelation; spatial data structures and algorithms; point patterns; measures of dispersion; measures of arrangements; patterns of lines; patterns of areas; patterns in fields; and the role of spatial scale and spatial aggregation problems.

On successful completion students will have the ability to:

  • Describe and discuss data structures and analysis procedures to analyse spatial data
  • Design and run a spatial analysis appropriate to a given phenomenon
  • Distinguish and characterize patterns and processes in geographic space
  • Apply GIS software for spatial analysis

A written exam consisting of a mid-semester test of 30 minutes (10%) and a 2-hour written examination at the end of semester (45%). Four practical assignment reports of about 5 pages length each, due evenly throughout the semester (45%).

Prescribed Texts: O’Sullivan and Unwin: Geographic Information Analysis. Wiley.
Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

On successful completion students should have:

  • Ability to apply knowledge of science and engineering fundamentals
  • Ability to undertake problem identification, formulation, and solution
  • Ability to conduct an engineering project
  • Ability to communicate effectively, with the engineering team and with the community at large
  • Ability to manage information and documentation
Related Course(s): Master of Applied Science (Geographic Information Systems)
Master of Environment
Master of Environment
Master of Geographic Information Technology
Master of Spatial Information Science
Postgraduate Certificate in Engineering
Postgraduate Certificate in Environment
Postgraduate Diploma in Environment

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