School of Environment
Geographic Information Science courses
GIScience Postgraduate Adviser
Professor Pip Forer
Room HSB 691
Phone: +64 9 373 7599 ext 85183
Email: p.forer@auckland.ac.nz
Timetable information
Approaches and challenges to analysing spatial data. Specific techniques covered will include measures of spatial autocorrelation, geographical regression, point pattern analysis, interpolation, overlay analysis, and an introduction to some of the newer geocomputation methods such as neural networks and cellular automata.
This course is not offered in 2012
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Acquisition of airborne imagery, very high resolution satellite imagery, ground penetrating radar data, and LiDAR data. Geospatial data referencing, geometric and thematic accuracy of geospatial data, image classification and accuracy assessment, multitemporal data analysis, integrated processing of images using GPS and GIS data.
This course is taught in: First Semester, City Campus (S1 C)
Coordinator: Jao Gao
Format: one 2-hour lecture per week, plus one hour labs
Points: 15
Assessment: 60% coursework, 40% final examination
Prerequisites: no formal prerequisite but an understanding equivalent to GEOG 317 is assumed
Programme: this is one of the core options for both the Geographic Information Science and Geography programmes
Timetable S1 C: Check SSO
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Introduction to field of cartography, drawing contrasts with new approaches to geovisualisation facilitated by information visualisation and statistical graphics. Human perceptual and cognitive systems as related to visual displays. Principles of sound perceptual and cognitive map design. Planning, creation and delivery of cartographic and visualization-based projects. Review of emerging and future trends in this fast-changing field.
This course is taught in: Second Semester, City Campus (S2 C)
Coordinator: Pip Forer
Format: one 2-hour lecture per week and one 2-hour lab per week
Points: 15
Assessment: 60% coursework, 40% final examination
Prerequisites: none
Programme: this is one of the core options for the Geographic Information Science and Geography programmes, and an approved course for the Environmental Management programme
Timetable S2 C: Check SSO
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Spatial databases, spatial data structures and algorithms and converting and handling spatial data. Introduction to programming (in Python). Principles of object- and component-oriented architectures including details relating to ArcGIS as an example. Open source and open standards, web-mapping as a case-study.
This course is taught in: First Semester, City Campus (S1 C)
Coordinator: TBA
Format: one 2-hour lecture per week
Points: 15
Assessment: 100% coursework
Prerequisites: no formal prerequisite but 15 points from GEOG 317-319, or equivalent is assumed
Programme: this is one of the core options for both the Geographic Information Science and Geography programmes
Timetable S1 C: Check SSO
Course homepage
