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Spatial Uncertainty in Ecology

Implications for Remote Sensing and GIS Applications

  • Book
  • © 2001

Overview

Editors:
  1. Carolyn T. Hunsaker

    1. Forestry Sciences Laboratory, USDA Forest Service, Fresno, USA

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  2. Michael F. Goodchild

    1. National Center for Geographic Information and Analysis Department of Geography, University of California, Santa Barbara, Santa Barbara, USA

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  3. Mark A. Friedl

    1. Department of Geography, Boston University, Boston, USA

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  4. Ted J. Case

    1. Department of Biology, University of California, San Diego, La Jolla, USA

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Table of contents (19 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Michael F. Goodchild, Ted J. Case
      Pages 3-10

  4. Methods

    1. Front Matter

      Pages 109-113
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    2. Mapping Ecological Uncertainty

      • Barbara P. Buttenfield
      Pages 115-132

    3. A Cognitive View of Spatial Uncertainty

      • Geoffrey Edwards, Marie-Josée Fortin
      Pages 133-157

    4. Delineation and Analysis of Vegetation Boundaries

      • Marie-Josée Fortin, Geoffrey Edwards
      Pages 158-174

    5. Geostatistical Models of Uncertainty for Spatial Data

      • Phaedon C. Kyriakidis
      Pages 175-213

    6. Uncertainty and Spatial Linear Models for Ecological Data

      • Jay M. Ver Hoef, Noel Cressie, Robert N. Fisher, Ted J. Case
      Pages 214-237

    7. Characterizing Uncertainty in Digital Elevation Models

      • Ashton Shortridge
      Pages 238-257

    8. An Overview of Uncertainty in Optical Remotely Sensed Data for Ecological Applications

      • Mark A. Friedl, Kenneth C. McGwire, Douglas K. McIver
      Pages 258-283

    9. Modeling Forest Net Primary Productivity with Reduced Uncertainty by Remote Sensing of Cover Type and Leaf Area Index

      • Steven E. Franklin
      Pages 284-307

    10. Spatially Variable Thematic Accuracy: Beyond the Confusion Matrix

      • Kenneth C. McGwire, Peter Fisher
      Pages 308-329

    11. Modeling Spatial Variation of Classification Accuracy Under Fuzzy Logic

      • A-Xing Zhu
      Pages 330-350

    12. Alternative Set Theories for Uncertainty in Spatial Information

      • Peter Fisher
      Pages 351-362
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Keywords

About this book

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.

Editors and Affiliations

  • Forestry Sciences Laboratory, USDA Forest Service, Fresno, USA

    Carolyn T. Hunsaker

  • National Center for Geographic Information and Analysis Department of Geography, University of California, Santa Barbara, Santa Barbara, USA

    Michael F. Goodchild

  • Department of Geography, Boston University, Boston, USA

    Mark A. Friedl

  • Department of Biology, University of California, San Diego, La Jolla, USA

    Ted J. Case

Bibliographic Information

  • Book Title: Spatial Uncertainty in Ecology

  • Book Subtitle: Implications for Remote Sensing and GIS Applications

  • Editors: Carolyn T. Hunsaker, Michael F. Goodchild, Mark A. Friedl, Ted J. Case

  • DOI: https://doi.org/10.1007/978-1-4613-0209-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-387-95129-4Due: 29 June 2001

  • Softcover ISBN: 978-0-387-98889-4Published: 29 June 2001

  • eBook ISBN: 978-1-4613-0209-4Published: 01 December 2013

  • Edition Number: 1

  • Number of Pages: XIII, 402

  • Topics: Ecology, Environment, general, Geography, general

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