Spatial Uncertainty in Ecology Implications for Remote Sensing and GIS Applications /

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Hunsaker, Carolyn T. (Editor), Goodchild, Michael F. (Editor), Friedl, Mark A. (Editor), Case, Ted J. (Editor)
Format:	eBook
Language:	English
Published:	New York, NY : Springer New York : Imprint: Springer, 2001.
Edition:	1st ed. 2001.
Subjects:	Ecology . Environment. Geography. Ecology. Environment, general. Geography, general.
Online Access:	https://doi.org/10.1007/978-1-4613-0209-4

Table of Contents:

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.

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