SPA513 Advanced GIS Applications and Modelling (8)

CSU Discipline Area: Spatial Science (SPASC)

Duration: One session

Abstract:

This capstone subject challenges the student to utilize their entire learned spatial toolbox on several real-world modelling problems. The subject teaches students how to turn tools into models, and introduces the idea of developing applications from those models. Students will employ vector, raster, 3-dimensional and network analysis to provide creative solutions to the planning problems. Tasks will be tackled in a structured manner, using flowcharting, project management methods, extensive background research and formal reporting. Project cost analysis and proposal development will also be addressed, as well as uncertainty management.

+ Subject Availability Modes and Locations

No offerings have been identified for this subject in 2013.Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: SPA513

Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Assumed Knowledge:

SPA211

Objectives:

Upon successful completion of this subject, students should:

Be able to lead a spatial analysis project through its entire life cycle, from concept to solution and final report;
Be able to plan the steps required to turn a spatial analysis solution into a deliverable such as an application or plug-in;
Be able to comfortably use, and intelligently convert between, vector, raster, 3d and network modelling approaches;
Be able to incorporate uncertainty and error into confidence metrics for model output;
Be able to utilize published research in specialist application areas to develop models using mathematics and spatial analysis.

Syllabus:

The subject will cover the following topics:

Project management, including cost analysis; Process flowcharting and model design; Report and proposal writing; Types of spatial models; Model/software integration; Practical uncertainty management; Three-dimensional, raster, network and vector modelling tools.

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