Quantification of uncertainty in spatial data for ecological applications

Principal Investigators:

Carolyn T. Hunsaker

Land cover maps are a primary data source for persons designing reserves, working on management plans for sensitive species, and performing ecological risk assessments. Maps are generalizations of reality and contain spatial uncertainty from the generalization which should be quantified for ecological applications. We propose to develop a spatial statistical approach that can deal comprehensively with the problem of error propagation and provide a bridge between the distinct traditions of remote sensing and Geographic Information... more

Land cover maps are a primary data source for persons designing reserves, working on management plans for sensitive species, and performing ecological risk assessments. Maps are generalizations of reality and contain spatial uncertainty from the generalization which should be quantified for ecological applications. We propose to develop a spatial statistical approach that can deal comprehensively with the problem of error propagation and provide a bridge between the distinct traditions of remote sensing and Geographic Information Systems. One or more case studies illustrating the approach would be undertaken by an interdisciplinary team, and a specialists meeting would provide input during the first year of work.

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Participants and Meetings

Working Group Participants
ActivityDatesFurther Information
Graduate Student22nd September 1996—30th June 1997Participant List  
Working Group24th—28th February 1997Participant List  
Working Group29th September—1st October 1997Participant List  
Working Group18th—19th June 1998Participant List  
Working Group7th—8th July 1999Participant List  

Participant Contact Information

Ashton Shortridgeashton@ncgia.ucsb.eduUniversity of California, Santa Barbara
Ted Casecase@biomail.ucsd.eduUniversity of California, San Diego
Frank W. Davisfrank.davis@nceas.ucsb.eduUniversity of California, Santa Barbara
Charles T. EhlschlaegerCity University of New York (CUNY), Hunter College
Mark A. Friedlfriedl@bu.eduBoston University
Michael F. Goodchildgood@geog.ucsb.eduUniversity of California, Santa Barbara
Carolyn T. Hunsakerchunsaker@fs.fed.usOak Ridge National Laboratory
Peter A. Stinepstine@fs.fed.usUS Geological Survey (USGS)
Kate BeardUniversity of Maine
Barbara P. ButtenfieldUniversity of Colorado
Ferko CsillagUniversity of Toronto
Ronald Eastmanreastman@clarku.eduClark University
Geoffrey EdwardsLaval University
Peter F. FisherUniversity of Leicester
Marie-Josée Fortinmariejosee.fortin@utoronto.caUniversité de Montréal
Steve Franklinfranklin@acs.ucalgary.caUniversity of Calgary
Phaedon Kyriakidisphaedon@geog.ucsb.eduStanford University
Kenneth McGwirekenm@dri.eduDesert Research Institute
Kevin S. McKelveykmckelvey@fs.fed.usForestry Sciences Laboratory
Fred H. Sklarfred.sklar@sfwmd.govSouth Florida Management District
Jay M. Ver Hoefjay.verhoef@noaa.govAlaska Department of Fish and Game
A-Xing ZhuUniversity of Wisconsin

Products: Publications, Reports, Datasets, Presentations, Visualizations

TypeProducts of NCEAS Research
Book Chapter Case, Ted; Fisher, Robert N. 2001. Measuring and predicting species presence: Coastal sage scrub case study. Edited by Hunsaker, C.; Goodchild, M.; Friedl, M.; Case, T.J.. Spatial Uncertainty in Ecology. Springer-Verlag. Berlin. Pages 417-471.
Book Chapter Goodchild, Michael F.; Case, Ted. 2001. Introduction. Edited by Hunsaker, C.; Goodchild, M.; Friedl, M.; Case, T. J.. Spatial uncertainty in ecology. Springer-Verlag. Berlin. Pages 20.
Book Hunsaker, Carolyn T.; Goodchild, Michael F.; Friedl, Mark A.; Case, Ted. 2001. Spatial uncertainty in ecology. Springer-Verlag. Berlin.
Presentations McGwire, Kenneth. 1999. Regional uncertainty in global accuracy statistics. American Association of Geographers.
Presentations Sklar, Fred H. 1999. Uncertainty of spatial data for landscape models. International Society of Landscape Ecology. Snowmass, CO.
Book Chapter Sklar, Fred H.; Hunsaker, Carolyn T. 2001. The use and uncertainty of spatial data for landscape models: An overview with examples from the Florida Everglades. Edited by Hunsaker, C.; Goodchild, M.; Friedl, M.; Case T. J.. Spatial Uncertainty in Ecology. Springer-Verlag. New York. Pages 15-46.
Book Chapter Ver Hoef, Jay M.; Cressie, Noel A.; Fisher, Robert N.; Case, Ted. 2001. Uncertainty and spatial linear models for ecological data. Edited by Hunsaker, C.; Goodchild, M.; Friedl, M.; Case, T. J.. Spatial Uncertainty in Ecology. Springer-Verlag. Berlin. Pages 214-237.
Book Chapter Zhu, A-Xing. 2001. Uncertainty in spatial data for ecological analysis. Edited by Hunsaker, C.; Goodchild, M.; Friedl,M.; Case, T. J.. Perspectives on Uncertainty in Spatial Data for Ecological Models. Springer-Verlag. Berlin. Pages 330-350.
"Quantification of uncertainty in spatial data for ecological applications" is project ID: 2260