Abstract

In this subject student learn how to create solutions to advanced spatial analysis problems. Topics include spatial database creation and management, iterative approaches to spatial problem-solving using scripted programming, and uncertainty management and error metrics for spatial modelling. Students completing this subject will have the ability to apply advanced knowledge … For more content click the Read More button below.

Syllabus

Spatial science project design, management and reporting; Spatial database management; Iterative process design and flowcharting to solve spatial analysis problems; Foundational spatial analysis tool-development using a programming language; andMethods for quantifying uncertainty and error in spatial analysis.

Learning outcomes

Upon successful completion of this subject, students should:
1.
be able to propose, design and implement a spatial analysis project;
2.
be able to produce, manage and query a spatial database;
3.
be able to describe and apply programming steps to iterate a series of spatial data processing tools;
4.
be able to develop a spatial analysis solution into a GIS tool; and
5.
be able to incorporate and interpret uncertainty and error metrics in spatial analysis.

Assumed knowledge

Background knowledge in Geographic Information Science and practical experience with GIS software equivalent to (SPA431 and SPA432) or (SPA215 and SPA308).

Learning resources

Additional resources required by students

Students are responsible for all associated travel and resources (if applicable). NOTE: Spatial information software (ArcGIS) is used in this subject, software is supplied.