Abordagem Conexionista para Análise Espacial Exploratória de Dados Socioeconômicos de Territórios Rurais
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The use of multivariate analysis techniques for exploratory spatial study
of rural geospatial data has being useful in territorial characterization and typology.
Connectionist approach is a very efficient computational method for these tasks, mainly
the Self-Organizing Map (SOM). Through the use of SOM clustering and data
visualization can be conducted simultaneously. This paper assesses the capacity of SOM
algorithm in the task of exploratory multisource data analysis for local aggregation
verification in the Center-South Rural Territory of Sergipe State, Brazil. Results shown
that, despite the homogeneity of the region, there are significant differences among subgroups
of municipalities that compose the territory.