SPA303 Algorithms in GIS and Modelling (8)

This subject aims to cover the required skills to analyse and develop mathematical algorithms for GIS.

No offerings have been identified for this subject in 2019.

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

Subject Information

Grading System

HD/FL

Duration

One session

School

School of Environmental Sciences

Assumed Knowledge
MTH102

Learning Outcomes

Upon successful completion of this subject, students should:
  • Understand the mathematical concepts required for the development of GIS and CAD related algorithms;
  • Have gained a good understand of applications of computational geometry concepts to GIS and modelling;
  • Be able to analyse, modify and design various GIS algorithms that employ geometrical concepts.

Syllabus

This subject will cover the following topics:

Concept of space and geographical data; Introduction to geometrical concepts used in GIS and modelling; Curves (including interpolation and splines concepts widely used in GIS); Relational properties: distance between two points; distance between a point and a curve; distance between two curves; Intersections: line, plane and curve intersections; Coordinate systems and map projections for GIS - Terrestial systems - Plane systems - Projections (transformations) - Choice of a suitable projection; Transformations used in GIS - Translation, rotation, scaling - Homogeneous transformations - Nonlinear transformations; Fundamental graphical procedures used in GIS - Vector techniques - Raster techniques; Projections on computer graphics - The Display Environment - Projections - Scene transformations - Hidden surfaces; Computer systems and low and high level data structures for GIS - Classification of systems - Software development strategy - Spatial Data models and structures - Three dimensional GIS.

Contact

For further information about courses and subjects outlined in the CSU handbook please contact:

Current students

Future students

The information contained in the CSU Handbook was accurate at the date of publication: May 2019. The University reserves the right to vary the information at any time without notice.

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