Area: | Department of Spatial Sciences |
Credits: | 25.0 |
Contact Hours: | 5.0 |
Lecture: | 1 x 2 Hours Weekly |
Tutorial: | 1 x 1 Hours Weekly |
Laboratory: | 1 x 2 Hours Weekly |
Prerequisite(s): | 12166 (v.2) Mathematics 134
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4579 (v.2) Mathematics 181
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Syllabus: | Nature of data in the spatial sciences. Descriptive statistics - measures of central tendency and dispersion, correlation and co-variance. Linear and multiple regression. Error analysis - types of errors and their propagation. Probability distributions. The normal distribution. Hypothesis formulation and testing - student, chi-squared and fischer distributions. |
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Unit Outcomes: | On successful completion of this unit students will have - Described the functional characteristics of computer assisted cartography systems, understood data structures commonly utilised for the management of spatial data, evaluated appropriate raster orvector data structures to facilitate spatial data storage and manipulation, evaluated data characteristics and output requirements for the selection of spatial interpolation approaches and understood the characteristics of modelling and visualisation approaches and apply a range of techniques to terrain and surface data. |
Texts and references listed below are for your information only and current as of September 30, 2003. Some units taught offshore are modified at selected locations. Please check with the unit coordinator for up-to-date information and approved offshore variations to unit information before finalising study and textbook purchases. |
Unit References: | Anderson D.R, Sweeney D.J. and Williams T.A., (1984), Introduction to Statistics: Concepts and Applications, West Publishing Co. Mendenhall W and Sinnih T., (1992), Statistics for Engineering and the Sciences, Dellen. Johnson R., (1984), Elementary Statistics, PWS Publishers. Minium E.W. and Clarke R.B., (1984), Elements of Statistics Reasoning, John Wiley. Ebdon D., (1985), Statistics in Geography-A Practical Approach, Basil Blackwell. Harvey B.R., (1990), Practical Least Squares and Statistics for Surveyors, New South Wales, University of New South Wales. |
Unit Texts: | Moore D.S. and McCabe G.P., (1998), Introduction to the Practice of Statistics, 3rd ed, W.H. Freeman & Co. |
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Unit Assessment Breakdown: | Assignments 15%, Exam 60%, Test 25%. This is a grade/mark assessment. |
Field of Education: | 31100 Geomatic Engineering (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Informational | Result Type: | Grade/Mark |
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Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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