Detection of clusters of deforestation alerts in the Amazonas State using the statistic scan space-time / Detecção de conglomerados dos alertas de desmatamentos no Estado do Amazonas usando estatística de varredura espaço-temporal

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

The space-time models, developed for analyses of diseases, can also be used for others field of study, including concerns about forest and deforestation. Therefore, this dissertation uses a methodology for detection of space- time clusters of cases that were mapped through the investigation of deforestation in Amazonas State. The methodology includes the location and the year that the deforestations alert occurred. These deforestations alerts are mapped by the DETER (Detection System of Deforestation in Real Time in Amazonia). And to find historic information about clusters which have a cylinder format, through the retrospective analyses. Also to find significant cases of deforestation. The area of study, took place the south of Amazonas State, including Boca do Acre, Labrea, Canutama, Humaita, Manicore, Novo Aripuana e Apui County. This area has showed a significant change for the land cover which has increased the number of deforestations alerts. Therefore this situation becomes a concern and gets more investigation, trying to stop factors that increase the number of cases in the area. The outcome shows an efficient model to detect space-time clusters of deforestations alerts. The model was efficient to detect the location, the size, the order and characteristics about activities at the end of the study. Two clusters were considered alive clusters and kept alive until the end of the study. These clusters are located in Canutama and Lábrea County.

ASSUNTO(S)

alertas de desmatamentos clusters amazonas amazonas deforestation alerts ciencias agrarias conglomerados

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