IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH

Detalhes bibliográficos
Autor(a) principal: Lima Miquelluti, Daniel
Data de Publicação: 2021
Outros Autores: Ozaki, Vitor Augusto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Climatologia (Online)
Texto Completo: https://revistas.ufpr.br/revistaabclima/article/view/72615
Resumo: In this article the availability and quality of public databases for soybean yields and daily rainfall in the state of Paraná in Brazil is assessed in order to verify the feasibility of an index insurance product. The multiple imputation by chained equations (MICE) method is utilized to fill missing values in the rainfall dataset and study the existence of spatial and temporal patterns in the data by means of hierarchical clustering. The results indicate that Paraná fulfills data requirements for a scalable weather index insurance with MICE and hierarchical clustering being effective tools in the pre-processing of precipitation data.
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spelling IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACHIndex-insurance; Hierarchical clustering; MICEIn this article the availability and quality of public databases for soybean yields and daily rainfall in the state of Paraná in Brazil is assessed in order to verify the feasibility of an index insurance product. The multiple imputation by chained equations (MICE) method is utilized to fill missing values in the rainfall dataset and study the existence of spatial and temporal patterns in the data by means of hierarchical clustering. The results indicate that Paraná fulfills data requirements for a scalable weather index insurance with MICE and hierarchical clustering being effective tools in the pre-processing of precipitation data.Universidade Federal do ParanáCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Lima Miquelluti, DanielOzaki, Vitor Augusto2021-10-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/revistaabclima/article/view/7261510.5380/rbclima.v29i0.72615Revista Brasileira de Climatologia; v. 29 (2021)2237-86421980-055X10.5380/rbclima.v29i0reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAenghttps://revistas.ufpr.br/revistaabclima/article/view/72615/44935Paraná; BrazilDireitos autorais 2021 Daniel Lima Miquelluti, Vitor Augusto Ozakiinfo:eu-repo/semantics/openAccess2021-10-13T12:20:20Zoai:revistas.ufpr.br:article/72615Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2021-10-13T12:20:20Revista Brasileira de Climatologia (Online) - ABClimafalse
dc.title.none.fl_str_mv IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
title IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
spellingShingle IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
Lima Miquelluti, Daniel
Index-insurance; Hierarchical clustering; MICE
title_short IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
title_full IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
title_fullStr IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
title_full_unstemmed IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
title_sort IDENTIFYING POTENTIAL REGIONS FOR A PRECIPITATION INDEX INSURANCE PRODUCT IN PARANÁ – BRAZIL: A HIERARCHICAL CLUSTERING APPROACH
author Lima Miquelluti, Daniel
author_facet Lima Miquelluti, Daniel
Ozaki, Vitor Augusto
author_role author
author2 Ozaki, Vitor Augusto
author2_role author
dc.contributor.none.fl_str_mv Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.contributor.author.fl_str_mv Lima Miquelluti, Daniel
Ozaki, Vitor Augusto
dc.subject.por.fl_str_mv Index-insurance; Hierarchical clustering; MICE
topic Index-insurance; Hierarchical clustering; MICE
description In this article the availability and quality of public databases for soybean yields and daily rainfall in the state of Paraná in Brazil is assessed in order to verify the feasibility of an index insurance product. The multiple imputation by chained equations (MICE) method is utilized to fill missing values in the rainfall dataset and study the existence of spatial and temporal patterns in the data by means of hierarchical clustering. The results indicate that Paraná fulfills data requirements for a scalable weather index insurance with MICE and hierarchical clustering being effective tools in the pre-processing of precipitation data.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-13
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/72615
10.5380/rbclima.v29i0.72615
url https://revistas.ufpr.br/revistaabclima/article/view/72615
identifier_str_mv 10.5380/rbclima.v29i0.72615
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/72615/44935
dc.rights.driver.fl_str_mv Direitos autorais 2021 Daniel Lima Miquelluti, Vitor Augusto Ozaki
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2021 Daniel Lima Miquelluti, Vitor Augusto Ozaki
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Paraná; Brazil
dc.publisher.none.fl_str_mv Universidade Federal do Paraná
publisher.none.fl_str_mv Universidade Federal do Paraná
dc.source.none.fl_str_mv Revista Brasileira de Climatologia; v. 29 (2021)
2237-8642
1980-055X
10.5380/rbclima.v29i0
reponame:Revista Brasileira de Climatologia (Online)
instname:ABClima
instacron:ABCLIMA
instname_str ABClima
instacron_str ABCLIMA
institution ABCLIMA
reponame_str Revista Brasileira de Climatologia (Online)
collection Revista Brasileira de Climatologia (Online)
repository.name.fl_str_mv Revista Brasileira de Climatologia (Online) - ABClima
repository.mail.fl_str_mv egalvani@usp.br || rbclima2014@gmail.com
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