Invited Speakers

IAMG Distinguished Lecturer

Professor Clayton Deutsch

Prof Clayton Deutsch 200x230Dr. Deutsch is a Professor in the Department of Civil & Environmental Engineering at the University of Alberta. He teaches and conducts research into better ways to model heterogeneity and uncertainty in petroleum reservoirs and mineral deposits. Dr. Deutsch completed his B.Sc. in Mining Engineering at the University of Alberta, his M.Sc. and Ph.D. in Geostatistics at Stanford University. Dr. Deutsch has published seven books, 150 peer-reviewed technical papers, and 150 papers in conference proceedings. He has taught 175 short courses for industry.  Dr. Deutsch holds the Canada Research Chair in Natural Resources Uncertainty Characterization and the Alberta Chamber of Resources Industry Chair in Mining Engineering.

Title: 

All Realizations All the Time
Abstract:
Sparse sampling combined with geological heterogeneity at all scales leads to inevitable uncertainty.  The quantification of joint uncertainty in high dimensional spatial problems requires multiple realizations.  Managing all realizations through decision making is problematic.  Theory, implementation details and the practice of creating and managing realizations will be shown.  Active uncertainty management versus passive observation of uncertainty will be emphasized.

IAMG Matheron Lecturer

Professor Noel Cressie

 
Noel Cressie - photo May 2016 - CopyNoel Cressie is Director of the Centre for Environmental Informatics in the National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong, Australia. He is also Adjunct Professor at the University of Missouri. Noel received his BSc(Hons) from the University of Western Australia and an MA and PhD from Princeton University, USA. His past appointments have been at Flinders University of South Australia, Iowa State University, and The Ohio State University. Noel has published in the areas of goodness-of-fit, statistical modelling, empirical-Bayesian and Bayesian methods, remote sensing, and spatial and spatio-temporal statistics, including geostatistics. He has authored or co-authored three books, one in 1988 on goodness-of-fit (with Tim Read), one in 1993 on spatial statistics, and one in 2011 on spatio-temporal statistics (with Chris Wikle). Noel is the recipient of the Committee of Presidents of Statistical Societies’ 2009 R.A. Fisher Lectureship, of the Statistical Society of Australia’s 2014 Pitman Medal, and of the Royal Statistical Society’s 2016 Barnett Award. He is a Fellow of the American Statistical Association, a Fellow of the Institute of Mathematical Statistics, and a member of the International Association for Mathematical Geosciences for over twenty years.  

Title:
A conditional approach to multivariate geostatistics

Abstract:
Optimal spatial prediction of a multivariate process is based on modelling all covariances between all pairs of variables at all possible locations in a continuously indexed spatial domain. Hence, multivariate geostatistical models have to be built with care: Any covariance matrix that is derived from such a model has to be nonnegative-definite. In this talk, a conditional approach is given for construction of a multivariate spatial statistical model that captures interactions between spatial variables in a natural way and admits nonnegative-definiteness for all possible covariance matrices. After starting with bivariate spatial models, a connection is then given to multivariate spatial models defined by spatial networks. Studies of the environment are often multivariate, have a strong spatial component, and should allow for possibly asymmetric spatial interactions between variables. Multivariate geostatistical models based on the conditional approach have these traits. The approach is demonstrated on a bivariate dataset of surface temperature and surface pressure, where it is seen that the variables interact asymmetrically in space. This is joint work with Dr Andrew Zammit Mangion of the University of Wollongong.

IAMG2017 Keynote Speaker

Professor Vera Pawlowsky-Glahn

Prof Vera Pawlowsky-Glahn 200x230Dr. Pawlowsky-Glahn is professor at the University of Girona, Department of Computer Science, Applied Mathematics, and Statistics. Before going to Girona, she was professor in the School of Civil Engineering at the Technical University of Catalonia (UPC) in Barcelona. Since 1982 her main research topic has been the statistical analysis of compositional data. The results obtained over the years have been published in multiple articles, proceedings and books. In 2006 she received the William Christian Krumbein Medal of IAMG, was nominated Distinguished Lecturer of IAMG in 2007, and received the J.C. Griffiths Teaching Award in 2008. From 2008 to 2012 she was President of IAMG. Currently she is the President of the Association for Compositional Data.

IAMG2017 Keynote Speaker

Dr Paul Hodkiewicz

Paul HPaul has over 28 years of international experience in the mining industry, with expertise and interest in resource evaluation, exploration targeting, geoscience innovation and technology, structural geology, open pit and underground mine geology and advanced 3D geological modelling. His current role is Head of Specialist and Integrated Geosciences for Anglo American, based in Perth. Prior to this he was Senior Manager of Resource Evaluation and Technology Development for BHP Billiton, and Principal Consultant and Director of SRK Consulting. He has BSc and MSc degrees in geology from the US and completed a PhD in economic geology at UWA in 2004.

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