Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:Semester 2, Parkville - Taught on campus.
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:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:|
CoordinatorDr 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:
|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|
On successful completion students should have the:
Master of Geographic Information Technology |
Master of Spatial Information Science
Postgraduate Certificate in Engineering
Master of Engineering (Geomatics) |
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