Spatial Uncertainty in Ecology (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
402
Utgivningsdatum
2001-06-01
Upplaga
Softcover reprint of the original 1st ed. 2001
Förlag
Springer-Verlag New York Inc.
Medarbetare
Hunsaker, Carolyn T. (ed.), Case, Ted J. (ed.), Friedl, Mark A. (ed.), Goodchild, Michael F. (ed.)
Illustratör/Fotograf
some col 100 Fig
Illustrationer
23 Tables, black and white; XIII, 402 p.
Dimensioner
241 x 165 x 19 mm
Vikt
612 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9780387988894
Spatial Uncertainty in Ecology (häftad)

Spatial Uncertainty in Ecology

Implications for Remote Sensing and GIS Applications

Häftad Engelska, 2001-06-01
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This is one of the first books to take an ecological perspective on uncertainty in spatial data. It applies principles and techniques from geography and other disciplines to ecological research, and thus delivers the tools of cartography, cognition, spatial statistics, remote sensing and computer sciences by way of spatial data. After describing the uses of such data in ecological research, the authors discuss how to account for the effects of uncertainty in various methods of analysis.
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Innehållsförteckning

Introduction and Overview * Use of Spatial Data in Ecological Analysis Spatial Ecological Models * Coastal Sage Scrub Case Study * Incorporating Uncertainties in Animal Location and Map Classification into Habitat Relationships Modeling * Generic Issues Regarding Uncertainty in Spatial Data * METHODS Mapping Ecological Uncertainty * A Cognitive View of Spatial Uncertainty * Spatial Analyses of Ecological Data * Geostatistical Models of Uncertainty for Spatial Data * Spatial Linear Models in Ecology * Characterizing Uncertainty in Digital Elevation Models * Uncertainty of Multinominal Spatial Data * An Overview of Uncertainty in Remote Sensing for Ecological Applications * Remote Sensing Classification of Forest Covertype and Estimation of Stand Leaf Area Index for Modeling Net Primary Production * Spatially Variable Thematic Accuracy: Beyond the Confusion Matrix * Modeling Spatial Variation of Classification Accuracy Under Fuzzy Logic * Set Theoretic Approaches to Uncertainty in Spatial Information * Roles of Meta-Information in Uncertainty Management * Making Decisions Under Uncertainty Using GIS * Epilogue