Spatial Uncertainty in Ecology: Implications for Remote Sensing and GIS Applications / Edition 1

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The rapid growth in the use of geographic information systems, remote sensing platforms and spatial databases have made spatial data more av ailable for ecological and environmental analysis. Unfortunately, too little effort has focused on the appropriate use of such data and the role and depiction of uncertainty in resulting ecological models. This book presents various perspectives on uncertainty in spatial data and relates them explicitly to the needs of ecologists. It applies princi ples and techniques from geography and other disciplines to ecological research, bringing the tools of cartography, cognition, spatial stati stics, remote sensing and computer sciences to the ecologist. After de scribing the uses of spatial data in ecological research and reviewing relevant issues in remote sensing, the authors discuss how to better include the effects of uncertainty in various methods of analysis. Thi s book addresses uncertainty in spatial data development, documentatio n, analysis and representation.

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Product Details

  • ISBN-13: 9780387988894
  • Publisher: Springer New York
  • Publication date: 6/29/2001
  • Edition description: Softcover reprint of the original 1st ed. 2001
  • Edition number: 1
  • Pages: 402
  • Product dimensions: 6.12 (w) x 9.24 (h) x 0.81 (d)

Table of Contents

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

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