Big Data in Environmental Science

Dates: May 11 to 15, 2015
Location: PIMS at the University of British Columbia

Draft Program


PIMS web site


Richard Lockhart SFU, Department of Statistics & Actuarial Science
Charmaine Dean Dean of Science, Western University
Peter Guttorp University of Washington, Department of Statistics
Will Kleiber University of Colorado, Department of Applied Mathematics
Bo Li University of Illinois at Urbana-Champaign, Department of Statistics
Steve Sain The Climate Corporation
James V Zidek University of British Columbia, Department of Statistics


Speaker / website Title with link to slides if available Related links
James Balamuta, University of Illinois Powering up computation for big data
Soutir Bandyopadhyay, Lehigh University Spatial Methods for Nonstationary Fields Using Compact Basis Functions
Sudipto Banerjee, UCLA On Gaussian Process Models for High-Dimensional Geostatistical Datasets
Luke Bornn, Simon Fraser University Lost Moments: The Effect of Pre-processing on Environmental Data. Journal of Climate paper
Jonathan Bradley, University of Missouri Efficient Parameterizations for Multiscale Multivariate Spatio-Temporal Data
Mike Brauer, University of British Columbia From local to global: Epidemiologic studies of the health impacts of environmental exposures
Jennifer Bryan, University of British Columbia Visualization using ggplot2 Github repository
Peter Craigmile, The Ohio State University Heteroscedastic asymmetric spatial processes (HASP)
Marco Ferreira, Virginia Tech Dynamic Multiscale Spatiotemporal Models for Gaussian and Poisson Processes
Dorit Hammerling, IMAGE NCAR A new ensemble-based consistency test for the Community Earth System Model
Mevin Hooten, Colorado State University Fringe benefits: The hidden utility of constraints in telemetry studies
Timothy Johnson, University of Michigan Analysis of Point Pattern Imaging Data using Log Gaussian Cox Processes with Spatially Varying Coecients
Matthias Katzfuss, Texas A & M A multi-resolution approximation for big spatial data
Will Kleiber, University of Colorado Coherence for Random Fields
Bo Li, University of Illinois Evaluating Climate Field Reconstructions in Reduced Dimension
Finn Lindgren, University of Bath. Stochastic partial differential equations and numerical methods for large scale spatial statistics
Finn Lindgren, University of Bath. Towards realistic stochastic modelling of global temperatures
Seagle Liu, University of British Columbia Interpolating the high dimensional track record of the fur seal: fusing a physical model with data With James V. Zidek
Robert Lund, Clemson University Changepoints and Associated Climate Controversies
Renjun Ma, University of New Brunswick Spatiotemporal Analysis of Environmental Health Risk
Doug Nychka, NCAR Extremes in regional climate: What to do with 8000 histograms.
Bruno Sanso, University of California at Santa Cruz Using MARS for functional computer model emulation and sensitivity analysis
Gavin Shaddick, University of Bath Incorporating large scale exposure modelling into environmental epidemiological studies.
Andrew Trites, University of British Columbia A biologist's perspective on biologging and big data
Hao Zhang, Purdue University Modeling the Complexity of Data Structure in Environmental Sciences
James V. Zidek, University of British Columbia Interpolating the high dimensional track record of the fur seal: fusing a physical model with data With Seagle Liu

Simon Fraser University
Burnaby, B.C. Canada V5A 1S6

E-mail: lockhart at sfu dot ca
Phone: (778) 782-3264
FAX: (778) 782-4368
Office: TLX 10549
Richard Lockhart's web page