Spatial Uncertainty in Ecology

by Hunsaker, Carolyn T.; Goodchild, Michael F.; Friedl, Mark A.; Case, Ted J.

• ISBN13: 9780387951294
• ISBN10: 0387951296
• Format: Hardcover
• Copyright: 2001-11-01
• Publisher: Springer Verlag

Summary

The huge growth in the use of geographic information systems, remote sensing platforms and spatial databases have made accurate spatial data more available for ecological and environmental models. Unfortunately, there has been too little analysis of the appropriate use of this data and the role of uncertainty in resulting ecological models. This is the first book to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research. It brings the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences to the ecologist using spatial data. After describing the uses of spatial data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis. Carolyn T. Hunsaker is a research ecologist in the USDA Forest Service in Fresno, California. Michael F. Goodchild is Professor of Geography at the University of California, Santa Barbara. Mark A. Friedl is Assistant Professor in the Department of Geography and the Center for Remote Sensing at Boston University. Ted J. Case is Professor of Biology at the University of California, San Diego.

Table of Contents

Acknowledgment	v
Contributors	xi
Part I Introduction
Introduction	3	(12)
Michael F. Goodchild
Ted J. Case
Part II Dimensions of Spatial Ecological Data
The Use and Uncertainties of Spatial Data for Landscape Models: An Overview with Examples from the Florida Everglades	15	(32)
Fred H. Sklar
Carolyn T. Hunsaker
Measuring and Predicting Species Presence: Coastal Sage Scrub Case Study	47	(25)
Ted J. Case
Robert N. Fisher
Incorporting Uncertainties in Animal Location and Map Classification into Habitat Relationships Modeling	72	(19)
Kevin S. McKelvey
Barry R. Noon
An Introduction to Uncertainty Issues for Spatial Data Used in Ecological Applications	91	(24)
Peter A. Stine
Carolyn T. Hunsaker
Part III Methods
Mapping Ecological Uncertainty	115	(18)
Barbara P. Buttenfield
A Cognitive View of Spatial Uncertainty	133	(25)
Geoffrey Edwards
Marie-Josee Fortin
Delineation and Analysis of Vegetation Boundaries	158	(17)
Marie-Josee Fortin
Geoffrey Edwards
Geostatistical Models of Uncertainty for Spatial Data	175	(39)
Phaedon C. Kyriakidis
Uncertainty and Spatial Linear Models for Ecological Data	214	(24)
Jay M. Ver Hoef
Noel Cressie
Robert N. Fisher
Ted J. Case
Characterizing Uncertainty in Digital Elevation Models	238	(20)
Ashton Shortridge
An Overview of Uncertainty in Optical Remotely Sensed Data for Ecological Applications	258	(26)
Mark A. Friedl
Kenneth C. McGwire
Douglas K. McIver
Modeling Forest Net Primary Productivity with Reduced Uncertainty by Remote Sensing of Cover Type and Leaf Area Index	284	(24)
Steven E. Franklin
Spatially Variable Thematic Accuracy: Beyond the Confusion Matrix	308	(22)
Kenneth C. McGwire
Peter Fisher
Modeling Spatial Variation of Classification Accuracy Under Fuzzy Logic	330	(21)
A-Xing Zhu
Alternative Set Theories for Uncertainty in Spatial Information	351	(12)
Peter Fisher
Roles of Meta-Information in Uncertainty Management	363	(16)
Kate Beard
Uncertainty Management in GIS: Decision Support Tools for Effective Use of Spatial Data Resources	379	(14)
Ronald Eastman
Part IV Epilog
Epilog	393	(4)
Carolyn T. Hunsaker
Index	397