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Visual analysis of the multidimensional meteorological data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3036 652-656
DOI: 10.1007/978-3-540-24685-5_112
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Abstract

A method for the visualization of correlation-based data has been applied for analysis of the set of meteorological and environmental parameters that describe the air pollution. A visual presentation of data stored in the correlation matrix makes it possible for ecologists to discover additional knowledge hidden in it. The method consists of two stages: building of a system of vectors based on the correlation matrix and visualization of these vectors. Sammon's mapping and the self-organizing map were applied for visualization of the vectors. © Springer-Verlag 2004.

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Dzemyda, G. (2004). Visual analysis of the multidimensional meteorological data. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3036, 652–656. https://doi.org/10.1007/978-3-540-24685-5_112

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