SPAT6003 (v.1) Geospatial Analysis
Area: | Department of Spatial Sciences |
---|---|
Credits: | 25.0 |
Contact Hours: | 4.0 |
TUITION PATTERNS: | The tuition pattern provides details of the types of classes and their duration. This is to be used as a guide only. Precise information is included in the unit outline. |
Lecture: | 1 x 2 Hours Weekly |
Computer Laboratory: | 1 x 2 Hours Weekly |
Equivalent(s): |
314390 (v.1)
Geospatial Analysis 610
or any previous version
|
Prerequisite(s): |
314387 (v.1)
Geographic Information Analysis 510
OR SPAT5002 (v.1) Geographic Information Analysis or any previous version OR 12450 (v.3) Geographic Data Analysis 582 or any previous version |
UNIT REFERENCES, TEXTS, OUTCOMES AND ASSESSMENT DETAILS: | The most up-to-date information about unit references, texts and outcomes, will be provided in the unit outline. |
Syllabus: | At the general level, Geospatial Analysis involves the application of techniques to data that has a spatial or geographic component. Lecture topics include methods for visualising (e.g. graphs), exploring (e.g. spatial dependence) and confirming (e.g. spatial regression) hypotheses generated from this iterative process on spatial datasets. Geospatial Analysis is strongly grounded on the premise that nearby observations are generally more similar than distant ones (spatial dependence) and it is this concept that forms interesting patterns to analyse (e.g. contagious diseases in a community) and fosters data interpolation with techniques such as kriging or inverse distance weighting. However, in other applications (e.g. regression) spatial dependence violates the assumption of data independence and therefore must be accounted for to avoid drawing very wrong conclusions from often highly inflated statistics. Although it is not transparent how to differentiate between either of the processes, we explore patterns that are induced, or in other words are the result of a first order process such as an environmental gradient (e.g. rainfall), and those that are a result of interaction (e.g. mating, pollination). We study spatial interaction and its role in siting facilities to service modelled demand and spatial clustering and its role in creating spatial taxonomies. |
Field of Education: | 031100 Geomatic Engineering (Narrow Grouping) |
Result Type: | Grade/Mark |
Availability
Year | Location | Period | Internal | Partially Online Internal | Area External | Central External | Fully Online |
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2017 | Bentley Campus | Semester 1 | Y | ||||
2017 | Bentley Campus | Semester 1 | Y |
Area External refers to external course/units run by the School or Department or offered by research.
Central External refers to external and online course/units run through the Curtin Bentley-based Distance Education Area
Partially Online Internal refers to some (a portion of) learning provided by interacting with or downloading pre-packaged material from the Internet but with regular and ongoing participation with a face-to-face component retained. Excludes partially online internal course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
Fully Online refers to the main (larger portion of) mode of learning provided via Internet interaction (including the downloading of pre-packaged material on the Internet). Excludes online course/units run through the Curtin Bentley-based Distance Education Area which remain Central External
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