Scientific Program

Pre conference-course

  Nathaniel Newlands, AAFC, Canada Deep Learning for Environmental Sciences

Plenary Speakers

  Amy Braverman, NASA JPL, USA  
  Charmaine Dean, University of Waterloo, Canada  
  Claire Miller, University of Glasgow, Scotland Environmerics 2017 award
  Doug Nychka, NCAR, USA Nonstationary spatial data: think globally act locally
  Chris Wickle, University of Missouri, USA  

Conference Mini-course

  E. Ashley Steel, US Forest Service So You Think You Can Do Statistics: A course in statistical thinking

Confirmed Invited Sessions

Organizer: Marta Blangiardo and Monica Pirani, Imperial College London UK
Enhanced statistical modelling for characterizing air pollution exposure
  Luis Gutiérrez, Pontifical Catholic University of Chile, Chile  
  Chiara Forlani, Imperial College London, UK A Bayesian Space-Time Model to Integrate Spatially Misaligned Air Pollution Data
  Dimitris Evangelopoulos, King’s College London, UK Investigation of multi-pollutant model results in the presence of measurement error: a simulation study
  Monica Pirani, Imperial College London, UK Improving inference in area-referenced environmental health studies
Organizer: Marta Blangiardo and Monica Pirani, Imperial College London UK
Towards a causality approach in environmental epidemiology
  Gavin Shaddick, Exeter University, UK  
  Melanie Davis, Medical University of South Carolina, USA Addressing Geographic Confounding through Spatial Propensity Score Matching
  Marta Blangiardo, Imperial College London, UK A Bayesian hierarchical framework to evaluate policy effects through quasi-experimental designs in a longitudinal setting
Organizer: Lelys Bravo, Univ. Simón Bolívar, Caracas, Venezuela and Northern Illinois University, USA
Risk/Natural hazards
  Nathaniel K. Newlands, Sci. and Tech., Agriculture and Agri-Food Canada, Canada Deep learning and weather networks: improving seasonal forecasting of agricultural crop yield
  Sazcha Marcelo Olivera Villarroel, UAM, Mexico Analysis of extreme rainfall in western Mexico
  Eliane Rodrigues, IMATE-UNAM, Mexico An application to ozone data of a non-homogeenous Poisson model with spatial anisotropy and change-points
  Lelys Bravo, Northern Illinois University, USA  
Organizer: Daniela Castro, KAUST, Saudi Arabia
Extremes in climate and environmental studies
  Raphaël Huser, KAUST, Saudi Arabia Penultimate modeling of spatial extremes: statistical inference for max-infinitely divisible processes
  Thomas Opitz, BioSP, INRA, France Modeling nonparametric covariate effects on extremal dependence: an application to air pollution in France
  Isabel Serra, CRM, Spain  
  Daniela Castro, KAUST, Saudi Arabia Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes
Organizer: Singdhansu Chatterjee, University of Minnesota, USA
Facets of Environmental Big Data Analysis
  Margaret Johnson, North Carolina State University, USA Multisensor Fusion of Remotely Sensed Vegetation Indices using Space-Time Dynamic Linear Models
  Subhabrata Majumdar, University of Florida, USA,  
  Soutir Bandyopadhyay, Colorado School of Mines, USA  
  L. Leticia Ramirez Ramirez, CIMAT, Mexico Combining different information sources for forecasting emerging climate sensitive mosquito-borne diseases
Organizer: Daniela Cocchi, University of Bologna, Italy
Models for Ecology
  Gianluca Mastrantonio, Politecnico di Torino, Italy Gaussian Based Mixture models for animal behavior
  Tonio Di Battista, University of Chieti-Pescara, Italy Functional tools for increasing the accuracy of biodiversity assessment
  Konrad Abramowicz, University of Umea, Sweden Climate message from the past in Scandinavian lakes through clustering of misaligned dependent seasonal patterns in varved lake sediment
  Perla Reyes, Kansas State University, USA Spatial modeling, agro, categoriacal data
Organizer: Daniela Cocchi, University of Bologna, Italy
Statistical analysis of data with complex spatial structure
  Alessandra Menafoglio, Politecnico di Milano, Italy A geostatistical approach to the analysis of spatial tensor data 
  Luigi Ippoliti, University G. d'Annunzio of Chieti Pescara, Iitaly  
  Debashis Mondal, Oregon State University, USA Spatial-Temporal Gaussian State-Space models
  Jorge Mateu Mahiques, Universitat Jaume I , Spain  
Organizer: Sophie Donnet and Lilian Bel, AgroParisTech, France
Modelling and inferring ecological interactions
  Andee Kaplan, Duke University, USA A Fast Sampler for Data Simulation for Markov Random Fields
  Sophie Donnet, AgroParisTech/INRA, France Generalization of block models for multipartite networks. Application in ecology
  Liliane Bel, AgroParisTech/INRA, France Predicting plant endemicity based on herbarium data: application to French data
Organizer: Sylvia Esterby, University of British Columbia at Okanagan, Canada
Water Quality Monitoring
  Yasmine M. Abdelfattah Specification and Prediction of Blue Nile Basin Precipitation from Global-scale SST using CCA
  Hossam Hassan, Cairo University, Egypt Likelihood and Bayesian Inference for Regression Models under Type I Censoring
  Abdel El Shaarawi, Cairo University, Egypt Spatial Temporal Modelling of Precipitation Data
  Sylvia Esterby, University of British Columbia at Okanagan, Canada Changes in the water cycle: the quantity - quality link
Organizer: Carolina Euan, KAUST, Saudi Arabia
New developments on Spatio-Temporal models for environmental applications
  Israel Martinez, KAUST, Saudi Arabia Robust Depth-based Estimation of the Functional Autoregressive Model with Application to CO2 Data
  Joaquín Ortega, CIMAT, Mexico Stationarity Intervals for Random Waves: Time Series Clustering and Functional Data Analysis
  Junho Lee, KAUST, Saudi Arabia Spatial Cluster Detection in a Mixed Effect Model for PM2.5 in the North East US
  Carolina Euan, KAUST, Saudi Arabia Bernoulli Vector Autoregressive Model with Applications to Spatio-Temporal Drought Events in Mexico
Organizer: Yulia R. Gel, University of Texas at Dallas, USA
Advances in Environmental Spatio-Temporal Modeling
  Abdulkadir Hussein, University of Windsor, Canada  
  Dipankar Bandyodhyay, Virginia Commonwealth University, USA  
  Alessandro Fasso, University of Bergamo Functional spatio-temporal modelling of atmospheric observation gaps
  Pasquale Valentini, University of Chieti –Pescara, Italy  
Organizer: Murali Haran, Penn State University, USA
Modern environmental science using observations and physical models
  Veronica Berrocal, University of Michigan, USA  
  Mandy Hering, Baylor, USA Mixture of Regression Models for Large Spatial Data Sets
  Ben Seiyon Lee, Penn State University, USA A Fast Particle-Based Approach for Computer Model Calibration
  Bo Li, University of Illinois-Urbana Champaign, USA  
Organizer: Amanda Hering, Baylor University, USA
Statistics for Renewable Energy
  Amanda Linzi, KAUST, Saudi Arabia  
  Lisa Madsen, Oregon State University, USA Estimating Binomial Index N with Application to Bird and Bat Mortality at Wind and Solar Power Facilities
  Eric Gilleland, NCAR Forecast Verification for Solar Power Forecasts
Organizer: Gabriel Huerta, The University of New Mexico, USA
Advances in Bayesian approaches for Spatial and Spatial-Temporal Modeling
  Jonathan Bradley, Florida State University, USA Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family
  William Christensen, Brigham Young University, USA Extracting Consensus Estimates of Precipitation from Diverse Data Sources in High Mountain Asia
  Erin Schliep, University of Missouri, USA Velocities for spatiotemporal point patterns.
  Jonathan Stroud, Georgetown University, USA Extended ensemble Kalman filters for high-dimensional hierarchical state-space models
Organizer: Iliyan Iliev, University of Southern Mississippi, USA
Data Fusion in Environmental Research
  Wesley Burr, Trent University, Canada Ground-level Particulate Matter Mass and Component Observation Imputation and Correction using Remote-Sensing
  Ramakalavathi Marapareddy, University of Southern Mississipi, USA Automated Techniques for Detection of Anomalies on Levee Using High Resolution Remote Sensing Data
  Wendy Meiring, UCSB, USA A study of snow water equivalent in the Sierra Nevada Mountains of California, using snow pillow data
Organizer: Venkata K. Jandhyala, Washington State University, USA
Methods for Monitoring Changes in Environmental Factors
  Blanca Lorena Figueroa Rangel, University of Guadalajara, Mexico Heterogeneous Forest Composition Responses to Temporal Environmental Changes in West-Central Mexico 
  Venkata K. Jandhyala, Washington State University, USA Change-Point Analysis of Well-Log Data Under Frequency Domain
  Iliyan Iliev, University of Southern Mississippi, USA Spatio-temporal clustering of water quality trends
  Discussant: Abdel El Shaarawi, Cairo University, Egypt  
Organizer: Robert Lund, Clemson University and NSF, USA
Environmental Changepoints
  Jon Woody, Mississippi State University, USA  
  Robert Lund, Clemson University and NSF, USA  
  Jaechoul Lee, Boise State University, USA Extreme U.S. temperature changepoints and trends
Organizer: Robert Lund, Clemson University/NSF, USA, and Walt Piegorsch, University of Arizona, USA
Showcases of the Environmetrics Journal
  Kimihiro Noguchi, University of Western Washington, USA  
  Yulia R. Gel, University of Texas at Dallas, USA  
  Ben Shaby, Pennsylvania State University, USA  
Organizer: Slava Lyubchich, University of Maryland Center for Env. Sci., USA
Questions in Modern Spatio-Temporal Analysis
  Eniuce Menezes de Souza, Universidade Estadual de Maringá, Brazil Plant disease detection from spectrometry, using hybrid models
  Ekaterina Smirnova, University of Montana, USA Functional Analysis of Spatial Aggregation Regions of Jeffrey Pine Beetle-Attack Within the Lake Tahoe Basin
  Iliyan Iliev, University of Southern Mississippi, USA Spatio-temporal clustering of water quality trends
  Robert Deardon, University of Calgary, Canada Spatial individual level infectious disease models incorporating aggregate level spatial structure
  Victor DeOliveira, University of Texas at San Antonio, USA Models for Geostatistical Binary Data: Properties and Connections
Organizer: Claire Miller and Marian Scott, University of Glasgow, UK
Statistical emulation for environmental processes
  Marian Scott, University of Glasgow, UK  
  Francesco Finazzi, University of Bergamo, Italy Multivariate emulators for city-level air quality management 
  Edward Boone, Virginia Commonwealth University, USA  
Organizer: Nathaniel Newlands, Agriculture and Agri-Food Canada, Canada
Data Science, Big Data and Precision Agriculture: Identification, Adaptive Control, and Machine-Learning
  Bhushan Gopaluni,  University of British Columbia, Vancouver, Canada  
  Edisanter Lo, Department of Mathematical Sciences, Susquehanna University, USA,  
  John Sulik, University of Guelph, Canada Encoding Dependence in Bayesian Causal Networks
  Jacob Bengtson, Farmer’s Edge, Lethbridge, Alberta, Canada Rich Data at Farmers Edges
  Nathaniel K. Newlands, Sci. and Tech., Agriculture and Agri-Food Canada, Canada Forecasting of grape powdery mildew disease risk in vineyards using a Bayesian learning network model
Organizer: Bruno Sanso, University of California at Santa Cruz, USA
A showcase of papers from the SAMSI program on Mathematical and Statistical Methods for Climate and Earth Systems
  Dorit Hammerling, NCAR, USA Climate Change Detection and Attribution: An overview of the SAMSI working group activities
  Howard Chang, Emory University, USA Statistical projections of future air quality and its health impacts under a changing climate
  Yawen Guan, Noth Carolina State University, USA Multivariate space-time data fusion: An application in air pollution modeling
  Mikael Kuusela, UNC Chapel Hill, USA Recent progress on statistical analysis of oceanographic data from Argo profiling floats
Organizer: Ekaterina Smirnova, University of Montana, USA
Spatio-temporal models in health and environment
  Jim Russell, Muhlenberg College, USA Modeling Collective Animal Movement Through Interactions in Behavioral States
  Tanujit Dey, Case Western Reserve University, USA Urban Green Spaces and Hypertension
  Colin Peterson, EPA in Chapel Hill, USA Mediation analysis and the human health effects of improved air quality trends
  Slava Lyubchich, University of Maryland Center for Environmental Science, USA Spatio-temporal analysis of nitrogen yield on a global scale
Organizer: Biviana M. Suarez-Sierra
Models for Air Quality in Latinoamerica
  Natalia Cano Londoño Non-Conventional Pollutans in the Cosed VALLEYS
  Maria Gutierrez Ocular surface alterations in relation with different aerial particulate matter concentrations
  José Joaquin Vivas Moreno Impact of the lime production on the air quality in the urban zone of the municipality of Vijes, Colombia
  Biviana  Suarez Sierra  
Organizer: Inder Tecuapetla-Gomez, CONABIO, Mexico
Advances on Ecoinformatics and Remote Sensing in Latinamerica: A few examples
  Raul Sierra, CONABIO-UNAM, Mexico SPECIES: A web platform for the exploratory analysis of species occurrence databases
  Julian Equihua, CONABIO-ITAM, Mexico Association rule learning for species co-ocurrence analysis
  Franciso Rosales, Univ. del Pacífico, Peru Embeding spatial variability in rainfall field reconstruction
  Inder Tecuapetla, CONACYT-CONABIO, Mexico Time delay estimation under sparsity with application to satellite imagery time series
Organizer: Hao Zhang, Purdue University, USA
Computational challenges for environmental studies
  Whitney Huang, SAMSI and UNC Chapel Hill, USA Estimating Precipitation Extremes using Log-Histospline


Contributed talks






Preliminar Program


Full Program