Spatial Analysis

This subject is not offered in 2013.

120 hours

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

None

None

None

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability

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%)

O’Sullivan and Unwin, Geographic Information Analysis. Wiley

This subject is not available as a breadth subject.

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