NDLI: Um Novo Módulo de Mineração VISUAL de Dados para o Sistema de Informação Geográfica gvSIG

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Um Novo Módulo de Mineração VISUAL de Dados para o Sistema de Informação Geográfica gvSIG

Content Provider	Semantic Scholar
Author	Vázquez-Rodríguez, Romel Pérez-Risquet, Carlos Torres-Cantero, Juan Carlos
Copyright Year	2013
Abstract	The exploration of large GIS models containing spatio-temporal information is a challenge. In this paper we propose the integration of scientific visualization (ScVis) techniques into geographic information systems (GIS) as an alternative for the visual analysis of data. Providing GIS with such tools improves the analysis and understanding of datasets with very low spatial density and allows to find correlations between variables in time and space. In this regard, we present a new visual data mining tool for the GIS gvSIG. This tool has been implemented as a gvSIG module and contains several ScVis techniques for multiparameter data with a wide range of possibilities to explore interactively the data. The developed module is a powerful visual data mining and data visualization tool to obtain knowledge from multiple datasets in time and space. A real case study with meteorological data from Villa Clara province (Cuba) is presented, where the implemented visualization techniques were used to analyze the available datasets. Although it is tested with meteorological data, the developed module is of general application in the sense that it can be used in multiple application fields related with Earth Sciences.
Starting Page	98
Ending Page	111
Page Count	14
File Format	PDF HTM / HTML
DOI	10.11137/2013_1_98_111
Volume Number	36
Alternate Webpage(s)	http://www.anuario.igeo.ufrj.br/2013_1/2013_1_98_111.pdf
Alternate Webpage(s)	https://revistas.ufrj.br/index.php/aigeo/article/download/6955/5522
Alternate Webpage(s)	http://ppegeo.igc.usp.br/pdf/anigeo/v36n1/v36n1a11.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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