Abstract submission deadline – 15 January 2021
Author registration deadline – 30 April 2021
Early bird registration deadline - 30 April 2021
This conference is organised by Elsevier.
Spatial Statistics Society
Professor Alfred Stein
University of Twente, The Netherlands
Prof. dr. ir. Alfred Stein (1958) is professor in Spatial Statistics and Image Analysis. He received his MSc in mathematics and information science, with a specialization in applied statistics from Eindhoven University of Technology. He obtained a PhD in 1991 at Wageningen University on spatial statistics.
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He started his career at the soil science and geology department of Wageningen university. In 1995 he was appointed a visiting professor at the Faculty ITC, in the soils department. In 1999 this changed to the department of spatial data acquisition.
In 2000 he was appointed a professor at the chair of mathematical and statistical models in Wageningen university (0.2) and in 2002 he became a 0.8 professor at the new department of Earth Observation Science at ITC, which he has headed for more than 10 years. In 2008 he became vice-rector research of the institute, a position that he had for four years. This was followed in 2012 by a position as portfolio holder education of the management team of the faculty.
His research interests focus on statistical aspects of spatial and spatio-temporal data, like monitoring data, in the widest sense. Optimal sampling, image analysis, spatial statistics, use of prior information, but also issues of data quality, fuzzy techniques, random sets, all in a Bayesian setting.
Christopher K. Wikle
University of Missouri (MU), USA
Christopher K. Wikle is Curators’ Distinguished Professor and Chair of Statistics at the University of Missouri (MU), with additional appointments in Soil, Environmental and Atmospheric Sciences and the Truman School of Public Affairs.
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He received a PhD co-major in Statistics and Atmospheric Science in 1996 from Iowa State University. He was research fellow at the National Center for Atmospheric Research from 1996-1998, after which he joined the MU Department of Statistics. His research interests are in spatio-temporal statistics applied to environmental, ecological, geophysical, agricultural and federal survey applications, with particular interest in dynamics. His work has been concerned with formulating computationally efficient deep hierarchical Bayesian models motivated by scientific principles, with more recent work at the interface of deep neural models in machine learning.
Awards include elected Fellow of the American Statistical Association (ASA), Institute of Mathematical Statistics (IMS), elected Fellow of the International Statistical Institute (ISI), Distinguished Alumni Award from the College of Liberal Arts and Sciences at Iowa State University, ASA Environmental (ENVR) Section Distinguished Achievement Award, co-awardee 2017 ASA Statistical Partnership Among Academe, Industry, and Government (SPAIG) Award, the MU Chancellor’s Award for Outstanding Research and Creative Activity in the Physical and Mathematical Sciences, the Outstanding Graduate Faculty Award, and Outstanding Undergraduate Research Mentor Award. His book Statistics for Spatio-Temporal Data (co-authored with Noel Cressie) was the 2011 PROSE Award winner for excellence in the Mathematics Category by the Association of American Publishers and the 2013 DeGroot Prize winner from the International Society for Bayesian Analysis. His latest book, Spatio-Temporal Statistics with R, with Andrew Zammit-Mangion and Noel Cressie, was published in 2019 and is free to download at spacetimewithR.org. This book won the 2019 Taylor and Francis award for Outstanding Reference/Monograph in the Science and Medicine category. Dr. Wikle is Associate Editor for several journals and is one of six inaugural members of the Statistics Board of Reviewing Editors for Science.
Scientific Co-Chairs & Local Organizing Committee:
Mevin B. Hooten
Colorado State University and U.S. Geological Survey, USA
Mevin B. Hooten is a Professor at Colorado State University in the departments of Fish, Wildlife, & Conservation Biology and Statistics. He is also Assistant Unit Leader of the Colorado Cooperative Fish and Wildlife Research Unit.
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He earned a PhD in Statistics at University of Missouri in 2006 and was elected Fellow of the American Statistical Association (ASA) in 2017. His research interests are in spatial and spatio-temporal statistics with applications in ecological and environmental science. He has authored three textbooks, two of which are focused on Bayesian statistics and the third is on statistical models for animal movement. He won the Early Investigator Award by the ASA Section on Statistics and the Environment (ENVR) in 2014 and has served as both officer and chair for the ENVR section. He serves as Associate Editor for Biometrics, Environmetrics, Annals of Applied Statistics, and Journal of Agricultural, Biological, and Environmental Statistics.
University of Colorado Boulder, USA
Will Kleiber is an Associate Professor and Graduate Program Chair in the Department of Applied Mathematics at the University of Colorado Boulder. He received his PhD in Statistics from the University of Washington and was a postdoctoral researcher in the Institute for Mathematics Applied to Geosciences (IMAGe) at the National Center for Atmospheric Research.
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In 2016 he was elected the Lebesgue Chair at the University of Rennes, France, and received the Young Investigator Award from the American Statistical Association's (ASA's) Section on Statistics and the Environment. He has been on the editorial board of the Annals of Applied Statistics, Environmetrics, Advances in Statistical Climatology, Meteorology and Oceanography as well as Stat. He was the publications officer for The International Environmetrics Society, and is currently the publications officer elect for the ASA's Section on Statistics and the Environment. His research interests are in spatial statistics, geostatistics, statistical climatology, stochastic weather generators, uncertainty quantification for geophysical applications and statistics for energy science.
Applied Mathematics and Statistics Department at the Colorado School of Mines, USA
Douglas Nychka is a data scientist who applies spatial models to problems in climate science and the environment.
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His focus is on the emulation of complex geophysical models using statistics and computing for large spatial data sets. Nychka also holds an appointment at the National Center for Atmospheric Research (NCAR) as an emeritus scientist.
Denis Allard, France
José Miguel Angulo, Spain
Peter Atkinson, UK
Liliane Bel, France
Candace Berrett, USA
Patrick Bogaert, Belgium
Pinar Bostan, Turkey
William Christensen, USA
Carlos Comas, Spain
Gerald Augusto Corzo Perez, The Netherlands
Rosa Crujeiras, Spain
Sandra De Iaco, Italy
Victor De Oliveira, USA
Mahmoud Reza Delavar, Iran
Juan Du, USA
Inger Fabris-Rotelli, South Africa
Reinhard Furrer, Switzerland
Edith Gabriel, France
Yong Ge, China
Alan Gelfand, USA
Wenceslao González-Manteiga, Spain
Pierre Goovaerts, USA
Daniel Griffith, USA
Nicholas Hamm, China
Ephraim Hanks, USA
Mandy Hering, USA
Gerard B.M. Heuvelink, Netherlands
Dionisis Hristopulos, Greece
Phaedon Kyriakidis, USA
Murray Lark, UK
Bo Li, USA
Gregoire Mariethoz, Switzerland
Jorge Mateu, Spain
Raquel Menezes, Portugal
Francisco Montes, Spain
Werner G. Mueller, Austria
Gerhard Navratil, Austria
Thomas Opitz, France
Frank Osei, Netherlands
Maria Dolores Ruiz Medina, Spain
Marc Saez, Spain
Sujit Sahu Sahu, UK
Steve Sain, USA
Huiyan Sang, USA
Aila Särkkä, Sweden
Erin Schliep, USA
Marian Scott, UK
Wenzhong Shi, China
Radu Stoica, France
Christien Thiart, South Africa
Gwladys Toulemonde, France
Maria Dolores Ugarte, Spain
Marie-Colette van Lieshout, Netherlands
Emmanouil Varouchakis, Greece
Lance Waller, USA
Xi Zhao, China
Spatial Statistics: Towards Spatial Data Science (2019)
Spatial Statistics: One world, one health (2017)
Spatial Statistics Avignon: Emerging Patterns (2015)
Revealing Intricacies in Spatial and Spatio-Temporal Data: Papers from the Spatial Statistics 2013 Conference (2013)
Spatial Statistics for Mapping the Environment (2011)