SPA503 GIS Algorithms (8)

In this subject students learn the advanced mathematical knowledge and skills required to analyse and develop mathematical algorithms for GIS. This includes developing a good understanding of mathematical concepts required for the development of GIS related algorithms, developing skills in solving linear algebra problems, having an ability to analyse, modify and design various GIS algorithms.  

No offerings have been identified for this subject in 2020.

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

Enrolment Restrictions

Undergraduate students may not enrol in this subject unless approved by their Course Director and the Subject Coordinator.

Students who have completed SPA403 may not enrol in this subject

Assumed Knowledge

Introductory mathematics at tertiary level and GIS background at the level of SPA415 or equivalent.

Incompatible Subjects

SPA403

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to implement mathematical concepts required for the development of GIS related algorithms;
  • be able to make sound judgements regarding the appropriate applications of computational geometry concepts to GIS;
  • 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 as applied to GIS
  • Matrix operations
  • Vectors in Euclidean space
  • Geometric algorithms used in GIS
  • Geometry of transformations used in GIS
  • Line simplification and smoothing
  • Interpolation and curve fitting
  • Graphs, networks and topology
  • The use of a computer algebra package in the development of spatial algorithms

Indicative Assessment

The following table summarises the assessment tasks for the online offering of SPA503 in Session 1 2019. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).

Item Number
Title
Value %
1
Matrices
10
2
Vectors and geometric algorithms
30
3
Transformations line simplification and smoothing
30
4
Interpolation graphs networks and topology
30

The information contained in the CSU Handbook was accurate at the date of publication: October 2020. The University reserves the right to vary the information at any time without notice.

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