The Spatial dynamics of agriculture in Brazil in 2008 and 2018
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
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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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 |
_version_ |
1797042441995419648 |