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.
Highlights
Due to the fast development of Geographic Information Systems (GIS) caused in part by the revolution of the new information and communication technologies, GIS has become an essential tool for analyzing and solving several problems in business, industry, as well as social and governmental institutions (Burrough & McDonnell, 1998)
GIS have become an essential tool in many areas related to strategic management, including the processes of demographic analysis, environmental protection and planning and resource management applications
This module was used with meteorological data from the province of Villa Clara, Cuba; showing the effectiveness of this type of analysis when the spatial resolution of the data is poor and the period of data acquisition is long
Summary
Due to the fast development of Geographic Information Systems (GIS) caused in part by the revolution of the new information and communication technologies, GIS has become an essential tool for analyzing and solving several problems in business, industry, as well as social and governmental institutions (Burrough & McDonnell, 1998) Their versatility has allowed their use in almost all activities that have a spatial component. This module was used with meteorological data from the province of Villa Clara, Cuba; showing the effectiveness of this type of analysis when the spatial resolution of the data is poor and the period of data acquisition is long. The conclusions are presented in the last section of this paper
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