Spatial Analysis

Subject GEOM90006 (2012)

Note: This is an archived Handbook entry from 2012.

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

This subject has the following teaching availabilities in 2012:

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: 48 hours per semester (Lectures: 24 hours, Laboratories: 24 hours)
Total Time Commitment: 120 hours

Successful completion of the following is required to enrol in this subject:

Study Period Commencement:
Credit Points:
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements:


Dr Kai-Florian Richter


Dr Kai-Florian Richter

Subject Overview: Spatial analysis focuses on foundations of spatial data and their analysis. We will study methods to characterise spatial patterns and processes of different spatial dimensions and in geographic scale. The subject will cover topics such as spatial autocorrelation, spatial data structures and algorithms, point patterns, measures of dispersion, measures of arrangements, line and network analysis, patterns of areas and in fields, and the role of spatial scale and spatial aggregation problems. These types of analysis are fundamental for all applications of geographic information technology

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 characterise patterns and processes in geographic space
  • Apply GIS software for spatial analysis
  • A 30 minute written mid-semester exam (10%)
  • A 2-hour written examination, end of semester (45%)
  • Four practical assignment reports of approximately 5 pages length each, due evenly throughout the semester (45%)
Prescribed Texts: Geographic Information Analysis. (O’Sullivan and Unwin). 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 the:

  • 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 Geographic Information Technology
Master of Spatial Information Science
Postgraduate Certificate in Engineering
Related Majors/Minors/Specialisations: Master of Engineering (Geomatics)

Download PDF version.