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Titlebook: Statistical Mining and Data Visualization in Atmospheric Sciences; Timothy J. Brown,Paul W. Mielke Book 2000 Springer Science+Business Med

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书目名称Statistical Mining and Data Visualization in Atmospheric Sciences
编辑Timothy J. Brown,Paul W. Mielke
视频video
图书封面Titlebook: Statistical Mining and Data Visualization in Atmospheric Sciences;  Timothy J. Brown,Paul W. Mielke Book 2000 Springer Science+Business Med
描述.Statistical Mining and Data Visualization in AtmosphericSciences. brings together in one place important contributions andup-to-date research results in this fast moving area. ..Statistical Mining and Data Visualization in AtmosphericSciences. serves as an excellent reference, providing insight intosome of the most challenging research issues in the field.
出版日期Book 2000
关键词Bootstrapping; Excel; data mining; mutation; visualization
版次1
doihttps://doi.org/10.1007/978-1-4757-6581-6
isbn_softcover978-1-4419-4974-5
isbn_ebook978-1-4757-6581-6
copyrightSpringer Science+Business Media New York 2000
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https://doi.org/10.1007/978-1-4757-6581-6Bootstrapping; Excel; data mining; mutation; visualization
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Visual Data Mining in Atmospheric Science Data,ked brushing, and dynamic methods such as the grand tour, applied to studying the Comprehensive Ocean-Atmosphere Data Set (COADS). This visual approach provides an alternative way to gain understanding of high-dimensional data. It also provides cross-validation and visual adjuncts to the more computationally intensive data mining techniques.
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Using Linked Micromap Plots to Characterize Omernik Ecoregions,, and statistical summary graphics panels with attention paid to perceptual grouping, sorting and linking of the summary components. The applications show LM plots for Omernik Level II Ecoregions. The summarized United States continental data includes USGS digital elevation, 30-year normal precipita
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