C&ENVENG 7064 - Non-Stationarity, Selection & Recoverability

North Terrace Campus - Winter - 2015

There are two major components in this course. (1) Non-stationarity: Introduction to the concept of drift (trend) by way of geological examples. Definitions of the various forms of stationarity (in a statistical sense). Simple ways of dealing with non-stationary variables. Detailed case study to illustrate the assessment and quantification of non-stationarity. Universal kriging and universal kriging variances. Intrinsic Random Functions and generalised covariances. Statistical tests for constant mean of a spatial variable - the D-statistic and the global D-statistic. (2) Selection & Recoverability: This component is essentially a study of scale effects. The applications are to mineral resources and environmental contamination (ground) but, depending on the chosen specialisations, can be expanded to all other applications. The emphasis is on conceptual approaches to simple applications leading to simple spatial statistical methods to predict the effects of changing scale - e.g. predicting the distributions of grade values of large blocks from the grade values of sample volumes. The information effect and the support effect - concepts, quantification and practical consequences. Parametric formulation of the change of scale. The affine correction. Local and global corrections for scale effects.

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Course Details

Course Code	C&ENVENG 7064
Course	Non-Stationarity, Selection & Recoverability
Coordinating Unit	School of Civil, Environmental & Mining Eng
Term	Winter
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	Block teaching, 9-5, Mon-Fri, one week only
Available for Study Abroad and Exchange	N
Assumed Knowledge	C&ENVENG 7043, C&ENVENG 7056 & STATS 7061
Restrictions	Available to M Geostatistic students only
Assessment	50% coursework and 50% formal, written examination

Course Staff

Course Coordinator: Professor Peter Dowd

Course Timetable

The full timetable of all activities for this course can be accessed from .

Learning Outcomes

Course Learning Outcomes

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Assessment must encourage and reinforce learning.
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Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

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