The Spatial dynamics of agriculture in Brazil in 2008 and 2018

Detalhes bibliográficos
Autor(a) principal: Silva Júnior, Marcio Aloisio da
Data de Publicação: 2021
Outros Autores: Ramos, Patrícia de Siqueira, Frias, Lincoln
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Caderno de Ciências Agrárias (Online)
Texto Completo: https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385
Resumo: Given the great influence of agriculture on Brazilian society and economy, it is important to understand the spatial dynamics of different agricultural cultures to identify strategic producing regions, serving as a subsidy for public policies. Therefore, the purpose of this work is to carry out, through the exploratory analysis of spatial data, a comparative analysis of the spatial dependence of the production of different crops in Brazil, in the years 2008 and 2018. Using data from the Municipal Agricultural Production (PAM) by the Brazilian Institute of Geography and Statistics (IBGE), selecting the 12 crops with the highest total production values ​​in 2018 (cotton, rice, banana, coffee, sugarcane, beans, tobacco, orange, cassava, corn, soybeans and tomato). A comparative analysis of cultures evidenced the formation of four groups, concerning the spatial dynamics of the high-high groupings in the two years studied. The first group is formed by cultures (cotton, rice, coffee, sugarcane, orange and tobacco) that tend to be concentrated in specific areas of the territory and did not show relevant changes in the clusters between the years under study, while the second group includes crops that expanded their areas between the two years (beans, corn and soybeans). The third group is formed by crops with smaller clusters and more spaced apart among themselves (banana and tomato). Finally, cassava was not included in any of the groups due to its dispersed production throughout the territory and also because it suffered a reduction in some regions.
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spelling The Spatial dynamics of agriculture in Brazil in 2008 and 2018A Dinâmica espacial da agricultura no Brasil em 2008 e 2018Análise exploratória de dados espaciaisI de MoranZoneamento agrícolaAnálise exploratória de dados espaciaisZoneamento agrícolaI de MoranExploratory spatial data analysisMoran's IAgricultural zoningAgricultural zoningExploratory spatial data analysisMoran's IGiven the great influence of agriculture on Brazilian society and economy, it is important to understand the spatial dynamics of different agricultural cultures to identify strategic producing regions, serving as a subsidy for public policies. Therefore, the purpose of this work is to carry out, through the exploratory analysis of spatial data, a comparative analysis of the spatial dependence of the production of different crops in Brazil, in the years 2008 and 2018. Using data from the Municipal Agricultural Production (PAM) by the Brazilian Institute of Geography and Statistics (IBGE), selecting the 12 crops with the highest total production values ​​in 2018 (cotton, rice, banana, coffee, sugarcane, beans, tobacco, orange, cassava, corn, soybeans and tomato). A comparative analysis of cultures evidenced the formation of four groups, concerning the spatial dynamics of the high-high groupings in the two years studied. The first group is formed by cultures (cotton, rice, coffee, sugarcane, orange and tobacco) that tend to be concentrated in specific areas of the territory and did not show relevant changes in the clusters between the years under study, while the second group includes crops that expanded their areas between the two years (beans, corn and soybeans). The third group is formed by crops with smaller clusters and more spaced apart among themselves (banana and tomato). Finally, cassava was not included in any of the groups due to its dispersed production throughout the territory and also because it suffered a reduction in some regions.Dada a grande influência da agricultura na sociedade e na economia brasileira, é importante compreender a dinâmica espacial de diferentes culturas agrícolas para identificar regiões produtoras estratégicas, servindo como subsídio para políticas públicas. Por isso, o objetivo deste trabalho é realizar, por meio da análise exploratória de dados espaciais, uma análise comparativa da dependência espacial da produção de diferentes culturas agrícolas no Brasil, nos anos de 2008 e 2018. São utilizados dados da Produção Agrícola Municipal (PAM) do IBGE, da qual foram selecionadas as 12 culturas com os maiores valores totais da produção em 2018 (algodão, arroz, banana, café, cana-de-açúcar, feijão, fumo, laranja, mandioca, milho, soja e tomate). A análise comparativa das culturas evidenciou a formação de quatro grupos, em relação à dinâmica espacial dos agrupamentos alto-alto nos dois anos estudados. O primeiro grupo é formado pelas culturas que tendem a se concentrar em áreas específicas do território e não apresentaram relevantes alterações nos agrupamentos (algodão, arroz, café, cana-de-açúcar, laranja e fumo), enquanto o segundo grupo engloba as culturas que expandiram suas áreas entre os dois anos (feijão, milho e soja). O terceiro grupo é formado por culturas que apresentaram agrupamentos com menores extensões e mais espaçados entre si (banana e tomate). Por fim, a mandioca não foi incluída em nenhum dos grupos por ter sua produção dispersa em todo o território e por apresentar redução nos agrupamentos em algumas regiões.Universidade Federal de Minas Gerais2021-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/3538510.35699/2447-6218.2021.35385Agrarian Sciences Journal; Vol. 13 (2021); 1-10Caderno de Ciências Agrárias; v. 13 (2021); 1-102447-62181984-6738reponame:Caderno de Ciências Agrárias (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385/29396https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385/29397Copyright (c) 2021 Caderno de Ciências Agráriashttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSilva Júnior, Marcio Aloisio da Ramos, Patrícia de Siqueira Frias, Lincoln 2022-07-27T23:44:24Zoai:periodicos.ufmg.br:article/35385Revistahttps://periodicos.ufmg.br/index.php/ccaufmgPUBhttps://periodicos.ufmg.br/index.php/ccaufmg/oaiccaufmg@ica.ufmg.br2447-62181984-6738opendoar:2022-07-27T23:44:24Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv The Spatial dynamics of agriculture in Brazil in 2008 and 2018
A Dinâmica espacial da agricultura no Brasil em 2008 e 2018
title The Spatial dynamics of agriculture in Brazil in 2008 and 2018
spellingShingle The Spatial dynamics of agriculture in Brazil in 2008 and 2018
Silva Júnior, Marcio Aloisio da
Análise exploratória de dados espaciais
I de Moran
Zoneamento agrícola
Análise exploratória de dados espaciais
Zoneamento agrícola
I de Moran
Exploratory spatial data analysis
Moran's I
Agricultural zoning
Agricultural zoning
Exploratory spatial data analysis
Moran's I
title_short The Spatial dynamics of agriculture in Brazil in 2008 and 2018
title_full The Spatial dynamics of agriculture in Brazil in 2008 and 2018
title_fullStr The Spatial dynamics of agriculture in Brazil in 2008 and 2018
title_full_unstemmed The Spatial dynamics of agriculture in Brazil in 2008 and 2018
title_sort The Spatial dynamics of agriculture in Brazil in 2008 and 2018
author Silva Júnior, Marcio Aloisio da
author_facet Silva Júnior, Marcio Aloisio da
Ramos, Patrícia de Siqueira
Frias, Lincoln
author_role author
author2 Ramos, Patrícia de Siqueira
Frias, Lincoln
author2_role author
author
dc.contributor.author.fl_str_mv Silva Júnior, Marcio Aloisio da
Ramos, Patrícia de Siqueira
Frias, Lincoln
dc.subject.por.fl_str_mv Análise exploratória de dados espaciais
I de Moran
Zoneamento agrícola
Análise exploratória de dados espaciais
Zoneamento agrícola
I de Moran
Exploratory spatial data analysis
Moran's I
Agricultural zoning
Agricultural zoning
Exploratory spatial data analysis
Moran's I
topic Análise exploratória de dados espaciais
I de Moran
Zoneamento agrícola
Análise exploratória de dados espaciais
Zoneamento agrícola
I de Moran
Exploratory spatial data analysis
Moran's I
Agricultural zoning
Agricultural zoning
Exploratory spatial data analysis
Moran's I
description Given the great influence of agriculture on Brazilian society and economy, it is important to understand the spatial dynamics of different agricultural cultures to identify strategic producing regions, serving as a subsidy for public policies. Therefore, the purpose of this work is to carry out, through the exploratory analysis of spatial data, a comparative analysis of the spatial dependence of the production of different crops in Brazil, in the years 2008 and 2018. Using data from the Municipal Agricultural Production (PAM) by the Brazilian Institute of Geography and Statistics (IBGE), selecting the 12 crops with the highest total production values ​​in 2018 (cotton, rice, banana, coffee, sugarcane, beans, tobacco, orange, cassava, corn, soybeans and tomato). A comparative analysis of cultures evidenced the formation of four groups, concerning the spatial dynamics of the high-high groupings in the two years studied. The first group is formed by cultures (cotton, rice, coffee, sugarcane, orange and tobacco) that tend to be concentrated in specific areas of the territory and did not show relevant changes in the clusters between the years under study, while the second group includes crops that expanded their areas between the two years (beans, corn and soybeans). The third group is formed by crops with smaller clusters and more spaced apart among themselves (banana and tomato). Finally, cassava was not included in any of the groups due to its dispersed production throughout the territory and also because it suffered a reduction in some regions.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-21
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://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385
10.35699/2447-6218.2021.35385
url https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385
identifier_str_mv 10.35699/2447-6218.2021.35385
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385/29396
https://periodicos.ufmg.br/index.php/ccaufmg/article/view/35385/29397
dc.rights.driver.fl_str_mv Copyright (c) 2021 Caderno de Ciências Agrárias
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Caderno de Ciências Agrárias
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv Agrarian Sciences Journal; Vol. 13 (2021); 1-10
Caderno de Ciências Agrárias; v. 13 (2021); 1-10
2447-6218
1984-6738
reponame:Caderno de Ciências Agrárias (Online)
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Caderno de Ciências Agrárias (Online)
collection Caderno de Ciências Agrárias (Online)
repository.name.fl_str_mv Caderno de Ciências Agrárias (Online) - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv ccaufmg@ica.ufmg.br
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