School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Introduction to Geostatistics
  • Unit Code

    MAT5215
  • Year

    2017
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    Online
  • Unit Coordinator

    A/Prof Ute Anja MUELLER

Description

This unit is designed to provide students with an introduction to the geostatistical techniques used in estimation from spatial data. Applications will be mainly in the areas of mining, petroleum, soil science and environmental management.

Learning Outcomes

On completion of this unit students should be able to:

  1. Calculate a range of descriptive statistics and carry out a variety of methods for exploratory data analysis.
  2. Carry out simple and ordinary kriging.
  3. Understand the random function model for the analysis of spatial data.
  4. Use variograms and covariance functions to model spatial continuity.

Unit Content

  1. Descriptive statistics and exploratory data analysis.
  2. Estimation methods: simple kriging; ordinary kriging; kriging variance.
  3. Modelling spatial continuity: experimental variogramscovariance functions; correlograms and madograms; variogram and covariance function models; isotropy and anisotropy.
  4. Random function model.
  5. Random variable; moments; probability distributions; normal and lognormal distributions.

Additional Learning Experience Information

Equivalent to three hours of lecture/workshop sessions per week. The course will be supported by the use of geostatistical software packages.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ONLINE
TypeDescriptionValue
AssignmentExploratory geostatistical analysis30%
AssignmentTheoretical aspects of Kriging30%
Case StudyGeostatistical estimation of ore grade40%

Core Reading(s)

  • Armstrong, M. (1999). Basic linear geostatistic. Basic linear geostatistics. Berlin: Springer.
  • Goovaerts, P. (1997). Geostatistics for natural resources evaluation. New York: Oxford University Press.

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT5215|1|1

School: Science

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Introduction to Geostatistics
  • Unit Code

    MAT5215
  • Year

    2017
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    Online
  • Unit Coordinator

    A/Prof Ute Anja MUELLER

Description

This unit is designed to provide students with an introduction to the geostatistical techniques used in estimation from spatial data. Applications will be mainly in the areas of mining, petroleum, soil science and environmental management.

Learning Outcomes

On completion of this unit students should be able to:

  1. Calculate a range of descriptive statistics and carry out a variety of methods for exploratory data analysis.
  2. Carry out simple and ordinary kriging.
  3. Understand the random function model for the analysis of spatial data.
  4. Use variograms and covariance functions to model spatial continuity.

Unit Content

  1. Descriptive statistics and exploratory data analysis.
  2. Estimation methods: simple kriging; ordinary kriging; kriging variance.
  3. Modelling spatial continuity: experimental variogramscovariance functions; correlograms and madograms; variogram and covariance function models; isotropy and anisotropy.
  4. Random function model.
  5. Random variable; moments; probability distributions; normal and lognormal distributions.

Additional Learning Experience Information

Equivalent to three hours of lecture/workshop sessions per week. The course will be supported by the use of geostatistical software packages.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ONLINE
TypeDescriptionValue
AssignmentExploratory geostatistical analysis30%
AssignmentTheoretical aspects of Kriging30%
Case StudyGeostatistical estimation of ore grade40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

MAT5215|1|2