3D geovisualisation techniques applied in spatial data mining

Authors:
Carlos Roberto Valêncio;Thatiane Kawabata;Camila Alves de Medeiros;Rogéria Cristiane Gratão de Souza;José Márcio Machado
Affiliations:
Departamento de Ciências de Computação e Estatística, São Paulo State University, São José do Rio Preto, São Paulo, Brazil;Departamento de Ciências de Computação e Estatística, São Paulo State University, São José do Rio Preto, São Paulo, Brazil;Departamento de Ciências de Computação e Estatística, São Paulo State University, São José do Rio Preto, São Paulo, Brazil;Departamento de Ciências de Computação e Estatística, São Paulo State University, São José do Rio Preto, São Paulo, Brazil;Departamento de Ciências de Computação e Estatística, São Paulo State University, São José do Rio Preto, São Paulo, Brazil
Venue:
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Year:
2013

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Abstract

The increase in the number of spatial data collected has motivated the development of geovisualisation techniques, aiming to provide an important resource to support the extraction of knowledge and decision making. One of these techniques are 3D graphs, which provides a dynamic and flexible increase of the results analysis obtained by the spatial data mining algorithms, principally when there are incidences of georeferenced objects in a same local. This work presented as an original contribution the potentialisation of visual resources in a computational environment of spatial data mining and, afterwards, the efficiency of these techniques is demonstrated with the use of a real database. The application has shown to be very interesting in interpreting obtained results, such as patterns that occurred in a same locality and to provide support for activities which could be done as from the visualisation of results.