Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] /
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.
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Language: | eng |
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Boston, MA : Springer US : Imprint: Springer,
2000
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Subjects: | Computer science., Data structures (Computer science)., Artificial intelligence., Geographical information systems., Statistics., Computer Science., Data Structures, Cryptology and Information Theory., Geographical Information Systems/Cartography., Artificial Intelligence (incl. Robotics)., Statistics, general., |
Online Access: | http://dx.doi.org/10.1007/978-1-4757-6581-6 |
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KOHA-OAI-TEST:1987632018-07-30T23:25:18ZStatistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / Brown, Timothy J. editor. Mielke, Paul W. editor. SpringerLink (Online service) textBoston, MA : Springer US : Imprint: Springer,2000.engStatistical 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.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.Computer science.Data structures (Computer science).Artificial intelligence.Geographical information systems.Statistics.Computer Science.Data Structures, Cryptology and Information Theory.Geographical Information Systems/Cartography.Artificial Intelligence (incl. Robotics).Statistics, general.Springer eBookshttp://dx.doi.org/10.1007/978-1-4757-6581-6URN:ISBN:9781475765816 |
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Computer science. Data structures (Computer science). Artificial intelligence. Geographical information systems. Statistics. Computer Science. Data Structures, Cryptology and Information Theory. Geographical Information Systems/Cartography. Artificial Intelligence (incl. Robotics). Statistics, general. Computer science. Data structures (Computer science). Artificial intelligence. Geographical information systems. Statistics. Computer Science. Data Structures, Cryptology and Information Theory. Geographical Information Systems/Cartography. Artificial Intelligence (incl. Robotics). Statistics, general. |
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Computer science. Data structures (Computer science). Artificial intelligence. Geographical information systems. Statistics. Computer Science. Data Structures, Cryptology and Information Theory. Geographical Information Systems/Cartography. Artificial Intelligence (incl. Robotics). Statistics, general. Computer science. Data structures (Computer science). Artificial intelligence. Geographical information systems. Statistics. Computer Science. Data Structures, Cryptology and Information Theory. Geographical Information Systems/Cartography. Artificial Intelligence (incl. Robotics). Statistics, general. Brown, Timothy J. editor. Mielke, Paul W. editor. SpringerLink (Online service) Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
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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. |
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Texto |
topic_facet |
Computer science. Data structures (Computer science). Artificial intelligence. Geographical information systems. Statistics. Computer Science. Data Structures, Cryptology and Information Theory. Geographical Information Systems/Cartography. Artificial Intelligence (incl. Robotics). Statistics, general. |
author |
Brown, Timothy J. editor. Mielke, Paul W. editor. SpringerLink (Online service) |
author_facet |
Brown, Timothy J. editor. Mielke, Paul W. editor. SpringerLink (Online service) |
author_sort |
Brown, Timothy J. editor. |
title |
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
title_short |
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
title_full |
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
title_fullStr |
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
title_full_unstemmed |
Statistical Mining and Data Visualization in Atmospheric Sciences [electronic resource] / |
title_sort |
statistical mining and data visualization in atmospheric sciences [electronic resource] / |
publisher |
Boston, MA : Springer US : Imprint: Springer, |
publishDate |
2000 |
url |
http://dx.doi.org/10.1007/978-1-4757-6581-6 |
work_keys_str_mv |
AT browntimothyjeditor statisticalmininganddatavisualizationinatmosphericscienceselectronicresource AT mielkepaulweditor statisticalmininganddatavisualizationinatmosphericscienceselectronicresource AT springerlinkonlineservice statisticalmininganddatavisualizationinatmosphericscienceselectronicresource |
_version_ |
1756267198809112576 |