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Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R

This paper presents a study related to soybean productivity in the west region of Parana, demonstrating how to apply some spatial analysis techniques of area using the software R. The study was conducted with data of soybeans in the period 2007/2008 to 48 municipalities. The Moran Global Index, Mora...

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Principais autores: Seffrin, Rodolfo, Araújo, Everton Coimbra De, Bazzi, Claudio Leones
Formato: Artigo
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná (UTFPR) 2018
Acesso em linha: http://periodicos.utfpr.edu.br/rbgeo/article/view/5912
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spelling peri-article-59122019-06-11T17:59:21Z Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R Análise espacial de área aplicada a produtividade de soja na região oeste do Paraná utilizando o software R Seffrin, Rodolfo Araújo, Everton Coimbra De Bazzi, Claudio Leones Geotecnologias Autocorrelação Espacial;Matriz de Vizinhança;Índice de Moran;Índice de Geary Spatial Autocorrelation; neighborhood Matrix; Moran Index; Geary Index This paper presents a study related to soybean productivity in the west region of Parana, demonstrating how to apply some spatial analysis techniques of area using the software R. The study was conducted with data of soybeans in the period 2007/2008 to 48 municipalities. The Moran Global Index, Moran Local Index and Geary Index techniques were used to verify correlation and spatial autocorrection, these procedures were performed with the libraries spdep, sp, maptools and rcolorbrewer of the software R. Through this study it was possible to demonstrate the applicability of the software R for spatial analysis of the area, and the steps of how to generate maps for better understanding of the information studied. Este trabalho apresenta um estudo referente à produtividade de soja na região oeste do Paraná, demonstrando como aplicar algumas técnicas de análise espacial de área utilizando o software R. O estudo foi realizado com dados de produtividade de soja dos anos 2007/2008 para 48 municípios. Para a verificação de correlação e autocorreção espacial foram utilizados as técnicas de Índice de Moran Global, Índice de Moran Local e Índice de Geary, todos esses procedimentos foram realizados com as bibliotecas spdep, sp, maptools e rcolorbrewer do software R. Por meio deste estudo foi possível demonstrar a aplicabilidade do software R para análise espacial de área. Universidade Tecnológica Federal do Paraná (UTFPR) 2018-03-26 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://periodicos.utfpr.edu.br/rbgeo/article/view/5912 10.3895/rbgeo.v6n1.5912 Revista Brasileira de Geomática; v. 6, n. 1 (2018); 23-43 Revista Brasileira de Geomática; v. 6, n. 1 (2018); 23-43 2317-4285 10.3895/rbgeo.v6n1 por http://periodicos.utfpr.edu.br/rbgeo/article/view/5912/4915 Direitos autorais 2018 CC-BY http://creativecommons.org/licenses/by/4.0
institution Universidade Tecnológica Federal do Paraná
collection PERI
language Português
format Artigo
author Seffrin, Rodolfo
Araújo, Everton Coimbra De
Bazzi, Claudio Leones
spellingShingle Seffrin, Rodolfo
Araújo, Everton Coimbra De
Bazzi, Claudio Leones
Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
author_sort Seffrin, Rodolfo
title Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
title_short Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
title_full Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
title_fullStr Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
title_full_unstemmed Spatial analysis of area applied to soybean productivity in the west region of Paraná using software R
title_sort spatial analysis of area applied to soybean productivity in the west region of paraná using software r
description This paper presents a study related to soybean productivity in the west region of Parana, demonstrating how to apply some spatial analysis techniques of area using the software R. The study was conducted with data of soybeans in the period 2007/2008 to 48 municipalities. The Moran Global Index, Moran Local Index and Geary Index techniques were used to verify correlation and spatial autocorrection, these procedures were performed with the libraries spdep, sp, maptools and rcolorbrewer of the software R. Through this study it was possible to demonstrate the applicability of the software R for spatial analysis of the area, and the steps of how to generate maps for better understanding of the information studied.
publisher Universidade Tecnológica Federal do Paraná (UTFPR)
publishDate 2018
url http://periodicos.utfpr.edu.br/rbgeo/article/view/5912
_version_ 1805295486874157056
score 10,814766

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