Short Course Announcement

R Software Fundamentals with Applications to Statistical Analyses & Modelling
Become more familiar with the open-source statistical software, R, and its use as a statistical
analysis, modelling and interpretation tool, aided by case studies



A short course offered by the School of Statistics and Actuarial Science in collaboration with the
* Although this course is not assessed, the University regards it as NQF Level 5

17-21 July 2017
Wits University West Campus, Johannesburg
PCs with software provided or
bring your own laptop (with relevant software loaded)

Registration Fees
Official University Staff or (Postgraduate) Students registered for 2017 at a recognised South
African institution of higher learning: R2500 pp
All other delegates: R5000 pp

For more information please follow links above

or  contact
Linda McRae-Samuel: / 011 717-6266
Edith Mkhabela: / 011 717-6272

GASA Course in Advanced Multivariate Geostatistics – November 2016

The Geostatistical Association of Southern Africa in conjunction with the University of Alberta is pleased to present Dr. Clayton Deutsch’s short course on

Advanced Multivariate Geostatistics

Monday 7 – Friday 11 November 2016

Venue in Johannesburg, Gauteng (to be confirmed)


Clayton V. Deutsch and Ryan M. Barnett

Centre for Computational Geostatistics

School of Mining and Petroleum Engineering

University of Alberta • Edmonton, Alberta CANADA

Click here for the Announcement

Click here for the Registration form


This course will cover essential theory and practice of advanced multivariate geostatistical modeling. This course builds on existing courses to cover advanced and emerging techniques for multivariate geostatistics. Selected CCG software may be used for some hands-on exercises. The morning will be reserved for lecturing. The afternoons will be a combination of lectures, hands-on exercises and demonstrations.


Dr. Deutsch is Director and Professor in the School of Mining and Petroleum Engineering, Department of Civil & Environmental Engineering at the University of Alberta. He teaches and conducts research into better ways to model heterogeneity and uncertainty. Prior to joining the University of Alberta, Dr. Deutsch was an Associate Professor (Research) in the Department of Petroleum Engineering at Stanford University. His employment history also includes three years with Exxon Production Research Company and three years of experience with Placer Dome Inc. Dr. Deutsch has published six books and over 200 research papers. Dr. Deutsch holds the Alberta Chamber of Resources Industry Chair in Mining Engineering and the Canada Research Chair in Natural Resources Uncertainty Characterization.


Day One

  01 – Introduction and Overview

  02 – Multiple Variables and Transformations

03 – Multivariate Distributions Including the Gaussian

04 – Linear Model of Coregionalization and Cokriging

Day Two

 05 – Cokriging with Unequally Sampled Data

06 – Colocated Cokriging and Variants

 07 – Simulation with Colocated Cokriging and Variable Aggregation

 08 – Principal Component Analysis

Day Three

 09 – Sphering and Minimum/Maximum Autocorrelation Factors

 10 – Projection Pursuit Multivariate Transformation

 11 – Gaussian Mixture Models and Stepwise Conditional Transform

12 – Other Transforms and Guide to Modelling Technique Selection

Day Four

13 – Multivariate Data Imputation

 14 – Clustering and Classification

 15 – Response Surface Fitting and Sensitivity Analysis

 16 – Direct Multivariate Estimation and Kernel Density Estimation

Day Five

 17 – Issues of Scale and Averaging; Geometallurgy Case Study

18 – Trends, Universal Kriging and Kriging with External Drift

 19 – Post Processing and Checking

 20 – Special Topics from CCG

This schedule will be modified to meet the objectives and pace of the instructor/participants

*Copyright, 2016, Centre for Computational Geostatistics   All rights reserved.


The cost for the week’s course is R18 000-00 per delegate.

Please complete the registration form and return to

For any queries please contact the Course Secretariat.

Course Secretariat

Yolandé van den Berg


Cell: 082 323 3910

Fax: 086 260 7024