Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/36979
Title: Análise exploratória de dados de área utilizando o R
Other Titles: Exploratory spatial data analysis on lattices using R
Authors: Lima, Renato Ribeiro de
Oliveira, Marcelo Silva de
Scalon, João Domingos
Nogueira, Denismar Alves
Keywords: Estatística espacial
Autocorrelação espacial
Detecção de clusters
Spatial statistics
Spatial autocorrelation
Cluster detection
Issue Date: 27-Sep-2019
Publisher: Universidade Federal de Lavras
Citation: ALMEIDA, P. L. R. de. Análise exploratória de dados de área utilizando o R. 2018. 87 p. Dissertação (Mestrado em Estatística e Experimentação Agropecuária)–Universidade Federal de Lavras, Lavras, 2018.
Abstract: The present work aims to produce a material describing in detail the spatial data analysis on lattices by considering global autocorrelation indices, local autocorrelation and clusters detection tests. The methods studied in this work were applied in a dataset of classical dengue fever from of the city of Campina Grande, PB, Brazil, obtained from the Municipal Health Office. The statistical analyzes were performed using the statistical softwares R and SaTScan. It was observed that there were global and local spatial autocorrelation for the incidence of the dengue fever. Furthermore, it was compared the power of detecting risk areas by using maps with the information about the local indication of spatial association (LISA) and spatial scan statistics. It was concluded the LISA presented smaller power than the scan statistics to detect the districts with highest risk of dengue fever transmission.
URI: http://repositorio.ufla.br/jspui/handle/1/36979
Appears in Collections:Estatística e Experimentação Agropecuária - Mestrado (Dissertações)

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