AmStat Section News, May 2003 Section on Statistics and the Environment (ENVR)
ENVR INVITED PROGRAM FOR JSM 2003
From maps to multivariate methods, the 2003 Section on Statistics andthe Environment Invited Program for the 2003 Joint Statistical meetingscovers a wide range of methodological and environmental issues. Theon-line program provides details, but here is an overview of InvitedSessions sponsored and co-sponsored by the Section.
Special thanks go out to session organizers, speakers, chairs, anddiscussants for bringing the program together!
August 4:
Small Area Estimation in Natural Resources Management Organizer: Loveday L. Conquest, University of Washington
Distribution Function Estimation in Small Areas for Aquatic Resources Mark Delorey, Colorado State University
Semi-Parametric Small Area Estimation with Integrated Natural Resources Data Jay Breidt, Colorado State University
Small Area Estimation Using Maps Based on Forest Inventory Data and Satellite Imagery Ronald McRoberts, USDA-Forest Service
Discussant: Gretchen Moisen, USFS - Rocky Mountain Research Station
Modern Statistics and New Technologies in Environmental Sciences Organizer: Pierre R L Dutilleul, McGill University
Transgenic Crops and Insect Population Dynamics: Spatial Analyses of GIS Data of Cotton Pest Density and Bt and non-Bt Cotton Field Areas Yves Carriere, University of Arizona
Integrating Scale in the Redundancy Analysis of Multivariate Spatial Data: New Statistical Procedures to be Used with Geographic Information Systems Bernard Pelletier, Department of Natural Resource Sciences
Spatio-Temporal Repeated Measures of Lengthening Curves and Expanding Shapes and the Complexity Analysis of Plant Structures Using a CT Scanner Pierre Dutilleul, McGill University
Linear and Mixed Linear Models for QTL Analysis in Molecular Genetics Hans-Peter Piepho, Universitat Hohenheim
The Spatio-Temporal Structure of Atmospheric Field Data and Challenges in Their Statistical Analysis: Overview and Examples Frederic Fabry, McGill University
Topics in Environmental Statistics Organizer: Katherine B. Ensor, Rice University
An Analysis for Exposure Assessment of Pesticides Jane Harvill, Mississippi State University; Robert Wills, Mississippi State University
Estimating the Integral of a Non-Gaussian Random Function Dennis Cox, Rice University
Modeling and Testing for Lack of Separability and Stationarity of Spatial-Temporal Environmental Processes Montserrat Fuentes, North Carolina State University
Predictive Spatio-Temporal Models for Spatially-Sparse Environmental Data Marc Genton, North Carolina State University
August 5
Measurement and Visualization of Space-Time Events in Public Health with Geographic Information Systems Organizer: Charles M Croner, National Center for Health Statistics
Detecting and Visualizing Space-Time Clusters of Low Birthweight Incidence, by Race, in Florida Stephen Reader, University of South Florida
Understanding Variation in Escherichia coli Occurrence at a Freshwater Beach Through Spatial Analyses and GIS: Implications for Beach Management and Public Health Richard Whitman, U.S. Geological Survey; Richard A. Champion; Sharyl Rabinovici, US Geological Survey
DYCAST: System Identifying West Nile Virus Risk Areas Constandinos Theophilides, Center for the Analysis and Research of Spatial Information
Spatial Forecasting of Disease Risk and Uncertainty Lee DeCola, US Geological Survey
August 6
Multivariate Spatial Statistics Organizer: Jay M Ver Hoef, Alaska Dept of Fish & Game
Spatial Mapping of Nonlinear Time Trends Using MAF Paul Switzer, Stanford University
Multivariable Spatial Prediction Jay Ver Hoef, Alaska Department of Fish & Game
Factor Analysis for Multivariate Spatial Data William Christensen, Brigham Young University
Hotspot Detection, Delineation, and Prioritization for Geographic Surveillance and Early Warning System Organizer(s): G. P. Patil, Pennsylvania State University
Upper Level Set Scan Statistic for Detecting Arbitrarily Shaped Hotspots Charles Taillie Jr, Pennsylvania State University
An Elliptic Scan Statistic for Geographical Disease Surveillance Martin Kulldorff, University of Connecticut Health Center
A Simulated Annealing Strategy for the Detection of Irregularly Shaped Spatial Clusters Luiz Duczmal, Universidade Federal de Minas Gerais
Discussant: Thomas A. Louis, Johns Hopkins Bloomberg School of Public Health
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