JSM 2004 - Toronto

Abstract #300558

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Activity Number: 59
Type: Invited
Date/Time: Sunday, August 8, 2004 : 6:00 PM to 7:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #300558
Title: Spatial Statistics for Modeling Phytoplankton
Author(s): Leah J. Welty*+ and Michael L. Stein
Companies: Johns Hopkins University and University of Chicago
Address: Bloomberg School of Public Health, Baltimore, MD, 20001,
Keywords: variogram ; chlorophyll ; spatial ; anisotropy ; covariance
Abstract:

Phytoplankton are important elements of lake and ocean ecosystems; they are the base of aquatic and oceanic food chains and may affect global climate through fixation of atmospheric carbon by photosynthesis. Statistical challenges associated with modeling phytoplankton biomass include correction for measurement bias, calibration of indirect measurements, covariance model specification for anisotropic processes, and computational limitations associated with evaluating likelihoods for large datasets. We present potential solutions to these problems that though developed with an eye to understanding phytoplankton dynamics are general enough to be relevant to many spatial, spatial-temporal, and environmental problems.

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Revised March 2004