SPA414 Current Issues In Gis (8)
CSU Discipline Area: Spatial Science (SPASC)
Duration: One session
Abstract:
This subject covers a wide range of current, new and interesting topics closely related to GIS. Information has always been the cornerstone of effective decisions. However, more recently, analysis of mapped data has become an important part of understanding and managing geographic space. This movement from “where is what” (descriptive) to "so what and why" (prescriptive) has set the stage for entirely new geospatial concepts and tools. This subject deals a range of new topics in GIS including those that have led to a much wider use of this technology in science, government, business, and industry.
+ Subject Availability Modes and Locations
| Session 1 | |
|---|---|
| Distance | Wagga Wagga |
Continuing students should consult the SAL for current offering details: SPA414
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Objectives:
Upon successful completion of this subject, students should:
be able to:
- consider logically how new mapping infrastructures such as the internet have changed the field of GIS and data dissemination;
- Use data models currently underlying spatial information management, and what the priorities are for future data model development in GIS;
- explore and choose methods by which artificial life and computational intelligence are improving GIS analysis in the field of GeoComputation.
Syllabus:
The subject will cover the following topics:
This subject matter will change year to year, but will always reflect current emphases in the development of GIS. This offering will focus on three major topics: infrastructures for web GIS and data sharing, new data models and structure, and geocomputation.
- Society and web mapping;
- Online decision support systems and stakeholder GIS;
- Metadata and infrastructures for data sharing;
- Wireless applications protocol (WAP);
- Spatial uncertainty;
- Spatio-temporal GIS;
- Multi-scale GIS;
- Integrating multimedia with geolibraries;
- Object oriented GIS;
- Cellular automata and agent-based modelling;
- Spatial data mining and geo visualisation;
- Expert systems;
- Fuzzy logic;
- Fractals;
- Neural networks;
- Genetic algorithms;
- Heuristic search.
Specialised Resources
Students are expected to be able to gain access for a significant amount of the session to an IBM PC or one of its many variants.
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.