JSM 2004 - Toronto

Abstract #300263

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Activity Number: 5
Type: Invited
Date/Time: Sunday, August 8, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #300263
Title: Model-based Combination of Spatial Information for Stream Networks
Author(s): Mark S. Handcock*+
Companies: University of Washington
Address: Box 354320, Seattle, WA, 98195-4320,
Keywords: spatial-temporal ; hierarchical model ; environmental ; directed acyclic graph ; network
Abstract:

We describe an approach to improve understanding of the biological integrity of stream and river systems in the United States mid-Atlantic Region by combining information from separate spatial-temporal monitoring surveys, available contextual information on hydrologic units and remote-sensing information. We develop hierarchical spatial statistical models for environmental indicators on the streams and rivers that capture the spatial variation in the measures. These models have been used to estimate the indicators through the riverine system based on the information from multiple sources and aggregate scales. We also quantify the uncertainty in the estimates and develop methods to visualize the resulting estimates and uncertainties. This research illustrates how statistical methodology can be used to leverage the information in scattered monitoring surveys.

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Revised March 2004