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OverviewStatistical 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. Full Product DetailsAuthor: Timothy J. Brown , Paul W. Mielke Jr.Publisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of hardcover 1st ed. 2000 Dimensions: Width: 15.50cm , Height: 0.50cm , Length: 23.50cm Weight: 0.145kg ISBN: 9781441949745ISBN 10: 1441949747 Pages: 80 Publication Date: 22 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsGuest 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |