Statistical Methods for Ecological Assessment of Riverine Systems by Combining Information from Multiple Sources

EPA Grant Number: R828674
Title: Statistical Methods for Ecological Assessment of Riverine Systems by Combining Information from Multiple Sources
Investigators: Handcock, Mark S.
Institution: University of Washington
EPA Project Officer: Fields, Nigel
Project Period: January 1, 2001 through December 31, 2003 (Extended to December 31, 2004)
RFA: Environmental Statistics (1999) RFA Text |  Recipients Lists
Research Category: Environmental Statistics , Health , Ecosystems

Objective:

The assessment of environmental risk and the evaluation of environmental policies requires information from diverse sources to be collected, organized, and combined. Evolutionary improvements in geographic information systems (GIS) now routinely allow the management and mapping of spatial-temporal information. However, there is a dearth of statistical methodology, not only to represent the complexities of the information but also to allow the uncertainty of the resulting inference to be quantified.

The development of statistical models to combine information of different types and spatial support is of vital importance. The primary objective of this research was to improve understanding of the biological integrity of stream and river systems in the United States Mid-Atlantic Region by combining information from separate monitoring surveys, available contextual information on hydrologic units, and remote sensing information.

Publications and Presentations:

Publications have been submitted on this project: View all 8 publications for this project

Journal Articles:

Journal Articles have been submitted on this project: View all 1 journal articles for this project

Supplemental Keywords:

spatial statistics, GIS, hierarchical models, relative distribution, EMAP, Bayesian statistics, Monte Carlo methods, environmental social science, relative distribution methods,

Progress and Final Reports:

Final Report