- 15 (0.125 EFTS)
- To provide an enhanced understanding of, and competence in, the acquisition, management, analysis, modelling and presentation of spatial information.
- Pre-requisites / Co-requisites:
- Students must be admitted to the Bachelor of Applied Science programme to enrol in this course. Pre-requisite: NSCI6743.
- Topics include:
Spatial sampling methodology. Estimating sample size. Ground surveying, Differential GPS, mobile mapping. Metadata.
Database vendors, online libraries. Converting data formats and coordinate and projection systems. National databases
environmental, demographic, political, cultural, remote sensing imagery
purpose, content, characteristics and limitations. Database design considerations
scale, resolution, classification, georeferencing, temporal capability. Conceptual, logical and physical database design stages. Database schemas. COGO editing, edge matching, rubber sheeting. Multi-user editing, transactions, versioning. Sources of error. Error detection and editing. SQL queries, topological queries, joins and relates
Supervised versus unsupervised classification of remotely sensed images; hard versus soft classifiers. Slope- and distance-based vegetation index models
Pairwise comparisons of images. Time series analysis
Spatial autocorrelation. Exploratory spatial data analysis, surface fitting, surface prediction, probability mapping. Landscape pattern analysis
classes of patterns, pattern elements, importance of scale, pattern indices, their interpretation and limitations
Model components. Types of models. Dynamic models. Modelling steps. Error propagation. Models for biodiversity, hazard and risk analysis, impact assessment, regulatory compliance, pollution, waste management
Visualization conventions and techniques. 3-D geo-representation. Visual impact assessment. Multimedia GIS, web GIS, virtual reality GIS, real-time GIS. Collaborative visualization
Geoinformatics and resource management. GIS and Maori resource management. Future trends
- Choose your class for this course from the option(s) below. You will need to attend all the sessions in that class to complete the course. Where more than one class number is shown, choose one of them and attend all sessions within that class number. (Note: If a class is held in different locations at the same time, you only need to attend all the sessions in one of the locations.)
- There are no classes on public holidays.
You need to attend all sessions of this class as listed below.
|From – To||Session||Day||Time||Campus (Room)|
|23 Jul 18 - 24 Sep 18||Lecture||Monday||10:30 - 11:30||Mt Albert (115-3016)|
|24 Jul 18 - 25 Sep 18||Practical||Tuesday||08:30 - 10:30||Mt Albert (115-3009)|
|15 Oct 18 - 29 Oct 18||Lecture||Monday||10:30 - 11:30||Mt Albert (115-3016)|
|16 Oct 18 - 30 Oct 18||Practical||Tuesday||08:30 - 10:30||Mt Albert (115-3009)|
Class: 5580. This timetable is currently unavailable.
- Note: This course is offered as part of Bachelor of Applied Science (Animal Management and Welfare), Bachelor of Applied Science (Biodiversity Management).