Program on Space-Time Analysis for Environmental Mapping, Epidemiology and Climate Change

This 12-month SAMSI program focused on problems encountered in dealing with random space-time fields, both those that arise in nature and those that are used as statistical representations of other processes. The sub-themes of environmental mapping, spatial epidemiology, and climate change are interrelated both in terms of key issues in underlying science and in the statistical and mathematical methodologies needed to address the science. Researchers from statistics, applied mathematics, environmental sciences, epidemiology and meteorology were involved, and the program promoted many opportunities for interdisciplinary, methodological and theoretical research.

Working Groups:

    1. Paleoclimate
    2. Spatial Exposures and Health Effects
    3. Interaction of deterministic and Stochastic Models
    4. Algebraic Statistics and Experimental Design
    5. Computation, Visualization, and Dimension Reduction
    6. Spacial Extremes
    7. Fundamentals of Spatial Modeling
    8. Geostatistics
    9. Point Patterns
    10. Non-stationary and Non-Gaussian Processes

** To see more in depth information on this program, see the report HERE **