Visualization of scattered meteorological data
Considers how rain-gauge data, scattered in two dimensions, aid the study of El Nino-caused rainstorms in normally arid coastal Peru. Continuous realization techniques can extract qualitative information from the data. The techniques described were developed with IBM Visualization Data Explorer, a g...
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Veröffentlicht in: | IEEE computer graphics and applications 1995-07, Vol.15 (4), p.20-26 |
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creator | Treinish, L.A. |
description | Considers how rain-gauge data, scattered in two dimensions, aid the study of El Nino-caused rainstorms in normally arid coastal Peru. Continuous realization techniques can extract qualitative information from the data. The techniques described were developed with IBM Visualization Data Explorer, a general-purpose software package for scientific data visualization and analysis. Data Explorer provides tools for both scattered and gridded data.< > |
doi_str_mv | 10.1109/38.391486 |
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Continuous realization techniques can extract qualitative information from the data. The techniques described were developed with IBM Visualization Data Explorer, a general-purpose software package for scientific data visualization and analysis. 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Continuous realization techniques can extract qualitative information from the data. The techniques described were developed with IBM Visualization Data Explorer, a general-purpose software package for scientific data visualization and analysis. Data Explorer provides tools for both scattered and gridded data.< ></abstract><pub>IEEE</pub><doi>10.1109/38.391486</doi><tpages>7</tpages></addata></record> |
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subjects | Data mining Data visualization Humans Meteorology Oceans Rivers Scattering Sea measurements Storms Strips |
title | Visualization of scattered meteorological data |
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