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dc.creatorSilva, Vicente Natanael Lima
dc.date.accessioned2018-06-05T17:18:37Z
dc.date.accessioned2023-03-22T17:30:16Z
dc.date.available2023-03-22T17:30:16Z
dc.date.issued2018-04-10
dc.identifier.citationSILVA, Vicente Natanael Lima. Modelagem de dados climáticos e socioeconômicos em municípios do estado de Pernambuco utilizando análise de componentes principais (ACP). 2017. Dissertação (Mestrado) - Universidade Católica de Pernambuco. Pró-Reitoria Acadêmica. Coordenação Geral de Pós-Graduação. Mestrado em Desenvolvimento de Processos Ambientais, 2017.por
dc.identifier.urihttps://hdl.handle.net/20.500.12032/76522
dc.description.abstractIn the State of Pernambuco, as well as throughout the Northeast region of Brazil, the expressive interaction between climate elements and human activities is evident. Numerous scientific studies have already demonstrated a significant correlation between climate behavior with social, economic, cultural, etc. This work served as a case study of the application of the multivariate statistical technique of Principal Components Analysis (PCA) in the making of socioeconomic diagnoses, where the elements of the climate were used as independent variables on the socioeconomic responses (Gross Domestic Product and Municipal Development Index) Of some municipalities that presented significant development in the State of Pernambuco - Brazil, between 1999 and 2013. Even considering the climatic, socioeconomic and essential dependence of water for the economic development of the municipalities studied, the PCA showed that the socioeconomic indexes of the municipalities located in the Sertão (Petrolina and Arcoverde) will present a higher correlation with the indices of temperature and Insulation, in the Agreste and Zona da Mata (Garanhuns and Surubim) evaporation and temperatures, in the Litoral (Recife) precipitation and humidity. The PCA was also effective in allowing the removal or disposal of variables that presented low variability or were redundant because they were correlated with those of greater importance for the first two main components. Understanding the behavior of climate elements and their consequences on human activities is of fundamental importance in helping public policies to mitigate the adverse effects of environmental change.eng
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES#por
dc.description.sponsorship#2075167498588264571#por
dc.description.sponsorship#600por
dc.formatapplication/pdf*
dc.languageporpor
dc.publisherUniversidade Católica de Pernambucopor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPrincipal component analysiseng
dc.subjectDissertationseng
dc.subjectClimatologyeng
dc.subjectData modelingeng
dc.subjectAnálise de componentes principaispor
dc.subjectDissertaçõespor
dc.subjectClimatologiapor
dc.subjectModelagem de dadospor
dc.titleModelagem de dados climáticos e socioeconômicos em municípios do estado de Pernambuco utilizando análise de componentes principais (ACP).por
dc.typeDissertaçãopor


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