Spatial Uncertainty in Ecology

I Introduction.- 1 Introduction.- II Dimensions of Spatial Ecological Data.- 2 The Use and Uncertainties of Spatial Data for Landscape Models: An Overview with Examples from the Florida Everglades.- 3 Measuring and Predicting Species Presence: Coastal Sage Scrub Case Study.- 4 Incorporating Uncertainties in Animal Location and Map Classification into Habitat Relationships Modeling.- 5 An Introduction to Uncertainty Issues for Spatial Data Used in Ecological Applications.- III Methods.- 6 Mapping Ecological Uncertainty.- 7 A Cognitive View of Spatial Uncertainty.- 8 Delineation and Analysis of Vegetation Boundaries.- 9 Geostatistical Models of Uncertainty for Spatial Data.- 10 Uncertainty and Spatial Linear Models for Ecological Data.- 11 Characterizing Uncertainty in Digital Elevation Models.- 12 An Overview of Uncertainty in Optical Remotely Sensed Data for Ecological Applications.- 13 Modeling Forest Net Primary Productivity with Reduced Uncertainty by Remote Sensing of Cover Type and Leaf Area Index.- 14 Spatially Variable Thematic Accuracy: Beyond the Confusion Matrix.- 15 Modeling Spatial Variation of Classification Accuracy Under Fuzzy Logic.- 16 Alternative Set Theories for Uncertainty in Spatial Information.- 17 Roles of Meta-Information in Uncertainty Management.- 18 Uncertainty Management in GIS: Decision Support Tools for Effective Use of Spatial Data Resources.- IV Epilog.- 19 Epilog.