A NEW VISUAL DATA MINING TOOL FOR GVSIG GIS

被引：0
|
作者：
Vazquez-Rodriguez, Romel [1 ]
Perez-Risquet, Carlos [1 ]
Gonzalez-Herrera, Inti Y. [1 ]
Fajardo-Moya, Alexis [1 ]
Carlos Torres-Cantero, Juan [2 ]
机构：
[1] Cent Univ Las Villas, Ctr Studies Informat, Santa Clara, Cuba
[2] Univ Granada, Dept Languages & Informat Syst, Granada, Spain
来源：
KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | 2010年
关键词：
Visual data mining; Scientific visualization; Information visualization; GIS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The integration of scientific visualization (ScVis) techniques into geographic information systems (GIS) is an innovative alternative for the visual analysis of scientific 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. This paper presents a new visual data mining tool for the GIS gvSIG. This tool is implemented as a gvSIG module and contains several ScVis techniques for multiparameter data with a wide range of possibilities for interaction with 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 general and can be used in multiple application fields.
引用
收藏
页码：428 / 431
页数：4
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