Statistical Mining and Data Visualization in Atmospheric Sciences

by Timothy J. Brown (Editor), Paul W. Mielke Jr. (Editor)

Overview

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.

Product Details

ISBN-13:	9781441949745
Publisher:	Springer US
Publication date:	12/22/2010
Edition description:	Softcover reprint of hardcover 1st ed. 2000
Pages:	80
Product dimensions:	6.10(w) x 9.25(h) x 0.01(d)

Table of 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.