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Statistical Mining and Data Visualization in Atmospheric Sciences

  • Book
  • © 2000

Overview

Editors:
  1. Timothy J. Brown

    1. Desert Research Institute, USA

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  2. Paul W. Mielke

    1. Colorado State University, USA

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Table of contents (5 chapters)

  1. Front Matter

    Pages 1-4
    Download chapter PDF

  2. Guest Editorial: Statistical Mining and Data Visualization in Atmospheric Sciences

    • Timothy J. Brown, Paul W. Mielke Jr.
    Pages 5-6

  3. Euclidean Distance Based Permutation Methods in Atmospheric Science

    • Paul W. Mielke Jr., Kenneth J. Berry
    Pages 7-27

  4. Bootstrapping to Assess and Improve Atmospheric Prediction Models

    • J. Sunil Rao
    Pages 29-41

  5. Using Linked Micromap Plots to Characterize Omernik Ecoregions

    • Daniel B. Carr, Anthony R. Olsen, Suzanne M. Pierson, Jean-Yves P. Courbois
    Pages 43-67

  6. Visual Data Mining in Atmospheric Science Data

    • Márcia Macêdo, Dianne Cook, Timothy J. Brown
    Pages 69-80
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Keywords

About this book

Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area.
Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Editors and Affiliations

  • Desert Research Institute, USA

    Timothy J. Brown

  • Colorado State University, USA

    Paul W. Mielke

Bibliographic Information

  • Book Title: Statistical Mining and Data Visualization in Atmospheric Sciences

  • Editors: Timothy J. Brown, Paul W. Mielke

  • DOI: https://doi.org/10.1007/978-1-4757-6581-6

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2000

  • Hardcover ISBN: 978-0-7923-7816-7Published: 31 March 2000

  • Softcover ISBN: 978-1-4419-4974-5Published: 22 December 2010

  • eBook ISBN: 978-1-4757-6581-6Published: 14 March 2013

  • Edition Number: 1

  • Number of Pages: 80

  • Number of Illustrations: 13 b/w illustrations, 1 illustrations in colour

  • Topics: Data Structures and Information Theory, Geographical Information Systems/Cartography, Artificial Intelligence, Statistics, general

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