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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Methodology for Clustering Cities Affected by Natural Disasters
verfasst von : Fabiana Santos Lima, Daniel de Oliveira, Mirian Buss Gonçalves
Erschienen in: New Perspectives in Information Systems and Technologies, Volume 1
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This study aims to present a methodology to form clusters by analyzing historical data of disasters in the state of Santa Catarina - Brazil, using the k-means method as a tool for pattern analysis. It can therefore assist in the strategic coordination, in the definition of priorities and in the share of experiences between cities. Therefore, the proposed methodology aims to identify similar regions in order to standardize and suggest a method of prevention and, thus, improve and assist the processes of decision-making regarding the events of Humanitarian Logistics. A computational experiment, applying the proposed methodology, was performed and the obtained results are presented and analyzed at the end.