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Statistical Mining and Data Visualization in Atmospheric Sciences

Author: Timothy J Brown; Paul W Mielke
Publisher: Boston, MA : Springer US, 2000.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Timothy J Brown; Paul W Mielke
ISBN: 9781475765816 1475765819
OCLC Number: 851784061
Description: 1 online resource (80 pages)
Contents: Guest Editorial: Statistical Mining and Daata Visualization in Atmospheric Sciences --
Euclidean Distance Based Permutation Methods in Atmospheric Science --
Bootstrapping to Assess and Improve Atmospheric Prediction Models --
Using Linked Micromap Plots to Characterize Omernik Ecoregions --
Visual Data Mining in Atmospheric Science Data.
Responsibility: edited by Timothy J. Brown, Paul W. Mielke.

Abstract:

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.  Read more...

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