Thesis and Dissertation Workshop (WTDBD)
Modelagem Multi-dimensional, Agrupamento de Dados, Sistemas de Informação Geográfica
The evolution of Geographic Information Systems (GIS) and maps on the web, the amount of information and its complexity increased uncontrollably. This large amount of data on a map can make confusing interpretations. The objective of this work is, through a multi-dimensional model, organize and structure the data for clustering, seeking a better interpretation. The proposed model uses classical dimensions that can be replicated to several problems of spatial data. With this structure, it is intended that the user without much knowledge in image processing, can generate maps and interactive queries with greater decision-making power, without requiring a large computational processing.
Marcio Bigolin, Helena Grazziotin Ribeiro, Renata Galante