Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation

Detalhes bibliográficos
Autor(a) principal: Eugenio, Fernando Coelho
Data de Publicação: 2014
Outros Autores: Peluzio, Telma Machado de Oliveira, Pereira, Ana Aparecida Barbosa, Santos, Alexandre Rosa dos, Peluzio, Joao Batista Esteves, Bragança, Rosembergue, Fiedler, Nilton César, Paula, Elizabeth Neire da Silva Oliveira de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Coffee Science (Online)
Texto Completo: https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640
Resumo: This study aims to propose the determination of the Zoning Agroclimatological Coffea canephora by using spatial reclassification percentages of classes for the state of Espírito Santo. The methodological steps needed to assess the relationship of zoning agroclimatological to the culture of Coffea canephora, were generating the database and multiple linear regression; spatial interpolation by kriging spherical; reclassification and zoning agroclimatological; vectorization spatial zoning and zoning quantification agroclimatological for 78 municipalities in the state. The results showed that the state of Espírito Santo has areas full (100%), good (75%), fair (50%), restricted (25%) and totally inapt to the cultivation of coffee conilon, representing, respectively, 6.92 %, 24.47%, 37.40% and 0.97% of the territory. The methodology of spatial reclassification percentages classes was efficient.
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spelling Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolationZoneamento agroclimático do Coffea canephorea para o Espírito Santo mediante interpolação espacialSpatial reclassificationcoffeeclimatologyReclassificação espacialcaféclimatologiaThis study aims to propose the determination of the Zoning Agroclimatological Coffea canephora by using spatial reclassification percentages of classes for the state of Espírito Santo. The methodological steps needed to assess the relationship of zoning agroclimatological to the culture of Coffea canephora, were generating the database and multiple linear regression; spatial interpolation by kriging spherical; reclassification and zoning agroclimatological; vectorization spatial zoning and zoning quantification agroclimatological for 78 municipalities in the state. The results showed that the state of Espírito Santo has areas full (100%), good (75%), fair (50%), restricted (25%) and totally inapt to the cultivation of coffee conilon, representing, respectively, 6.92 %, 24.47%, 37.40% and 0.97% of the territory. The methodology of spatial reclassification percentages classes was efficient.Objetivou-se, no presente artigo, propor a determinação do Zoneamento Agroclimatológico do Coffea canephora, mediante a utilização de reclassificação espacial em classes de porcentagens, para o estado do Espírito Santo. As etapas metodológicas necessárias para avaliar a relação do zoneamento agroclimatológico para a cultura do Coffea canephora, foram: geração do banco de dados e regressão linear múltipla; interpolação espacial por krigagem esférica; reclassificação e zoneamento agroclimatológico; vetorização espacial do zoneamento e quantificação do zoneamento agroclimatológico para os 78 municípios do Estado. Os resultados mostraram que o estado do Espírito Santo possui áreas plenas (100%), boas (75%), regulares (50%), restritas (25%) e totalmente inaptas ao cultivo do café conilon, representando, respectivamente, 6,92%; 24,47%; 37,40% e 0,97% do território. A metodologia adotada, de reclassificação espacial em classes de porcentagens, mostrou-se eficiente.Editora UFLA2014-07-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/zipapplication/ziphttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/640Coffee Science - ISSN 1984-3909; Vol. 9 No. 3 (2014); 319-328Coffee Science; Vol. 9 Núm. 3 (2014); 319-328Coffee Science; v. 9 n. 3 (2014); 319-3281984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/pdf_98https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/1238https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/1239Copyright (c) 2014 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessEugenio, Fernando CoelhoPeluzio, Telma Machado de OliveiraPereira, Ana Aparecida BarbosaSantos, Alexandre Rosa dosPeluzio, Joao Batista EstevesBragança, RosembergueFiedler, Nilton CésarPaula, Elizabeth Neire da Silva Oliveira de2014-07-21T16:01:06Zoai:coffeescience.ufla.br:article/640Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:53:46.498591Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
Zoneamento agroclimático do Coffea canephorea para o Espírito Santo mediante interpolação espacial
title Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
spellingShingle Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
Eugenio, Fernando Coelho
Spatial reclassification
coffee
climatology
Reclassificação espacial
café
climatologia
title_short Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
title_full Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
title_fullStr Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
title_full_unstemmed Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
title_sort Zoing agroclimatological Coffea canephora for Espírito Santo by spatial interpolation
author Eugenio, Fernando Coelho
author_facet Eugenio, Fernando Coelho
Peluzio, Telma Machado de Oliveira
Pereira, Ana Aparecida Barbosa
Santos, Alexandre Rosa dos
Peluzio, Joao Batista Esteves
Bragança, Rosembergue
Fiedler, Nilton César
Paula, Elizabeth Neire da Silva Oliveira de
author_role author
author2 Peluzio, Telma Machado de Oliveira
Pereira, Ana Aparecida Barbosa
Santos, Alexandre Rosa dos
Peluzio, Joao Batista Esteves
Bragança, Rosembergue
Fiedler, Nilton César
Paula, Elizabeth Neire da Silva Oliveira de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Eugenio, Fernando Coelho
Peluzio, Telma Machado de Oliveira
Pereira, Ana Aparecida Barbosa
Santos, Alexandre Rosa dos
Peluzio, Joao Batista Esteves
Bragança, Rosembergue
Fiedler, Nilton César
Paula, Elizabeth Neire da Silva Oliveira de
dc.subject.por.fl_str_mv Spatial reclassification
coffee
climatology
Reclassificação espacial
café
climatologia
topic Spatial reclassification
coffee
climatology
Reclassificação espacial
café
climatologia
description This study aims to propose the determination of the Zoning Agroclimatological Coffea canephora by using spatial reclassification percentages of classes for the state of Espírito Santo. The methodological steps needed to assess the relationship of zoning agroclimatological to the culture of Coffea canephora, were generating the database and multiple linear regression; spatial interpolation by kriging spherical; reclassification and zoning agroclimatological; vectorization spatial zoning and zoning quantification agroclimatological for 78 municipalities in the state. The results showed that the state of Espírito Santo has areas full (100%), good (75%), fair (50%), restricted (25%) and totally inapt to the cultivation of coffee conilon, representing, respectively, 6.92 %, 24.47%, 37.40% and 0.97% of the territory. The methodology of spatial reclassification percentages classes was efficient.
publishDate 2014
dc.date.none.fl_str_mv 2014-07-09
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/640
url https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/pdf_98
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/1238
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/640/1239
dc.rights.driver.fl_str_mv Copyright (c) 2014 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Coffee Science - ISSN 1984-3909
https://creativecommons.org/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/zip
application/zip
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science - ISSN 1984-3909; Vol. 9 No. 3 (2014); 319-328
Coffee Science; Vol. 9 Núm. 3 (2014); 319-328
Coffee Science; v. 9 n. 3 (2014); 319-328
1984-3909
reponame:Coffee Science (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Coffee Science (Online)
collection Coffee Science (Online)
repository.name.fl_str_mv Coffee Science (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com
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