Statistical Mining and Data Visualization in Atmospheric Sciences

Timothy J. Brown, Paul W. Mielke Jr. (Herausgeber)

Buch | Hardcover

80 Seiten

2000 | Reprinted from DATA MINING AND KNOWLEDGE DISCOVERY, 4:1, 2000
Springer (Verlag)
978-0-7923-7816-7 (ISBN)

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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.

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.

Erscheint lt. Verlag	31.3.2000
Zusatzinfo	1 Illustrations, color; 13 Illustrations, black and white; 80 p. 14 illus., 1 illus. in color.
Verlagsort	Dordrecht
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Algorithmen
	Naturwissenschaften ► Geowissenschaften ► Geologie
ISBN-10	0-7923-7816-4 / 0792378164
ISBN-13	978-0-7923-7816-7 / 9780792378167
Zustand	Neuware