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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
19/11/2021 |
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Data da última atualização: |
19/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CASSARO, R.; FERREIRA, R. R. M.; FERREIRA, V. R. M.; RODRIGUES, V. G. S. |
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Afiliação: |
RAUL CASSARO, USP; ROGERIO RESENDE MARTINS FERREIRA, CNPM; VINICIUS R. M. FERREIRA, Siriema Produtos Ambientais -Ltda; VALÉRIA G. S. RODRIGUES, USP. |
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Título: |
Cluster analysis in degraded areas by erosion in the Nazareno (MG) region. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: ARGENTINE CONGRESS OF GEOLOGY APPLIED TO ENGINEERING AND THE ENVIRONMENT 2.,; IAEG SOUTH AMERICA REGIONAL CONFERENCE 1., 2021, Córdoba. Proceedings... Córdoba: Asagai, 2021. 5 p. |
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ISBN: |
978-987-21766-6-2 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear the places (trenches) and the depths with greater susceptibility to erosion. MenosAbstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear... Mostrar Tudo |
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Palavras-Chave: |
Gully. |
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Thesaurus Nal: |
Multivariate analysis. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227923/1/5974.pdf
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Marc: |
LEADER 02264nam a2200181 a 4500
001 2136330
005 2021-11-19
008 2021 bl uuuu u00u1 u #d
020 $a978-987-21766-6-2
100 1 $aCASSARO, R.
245 $aCluster analysis in degraded areas by erosion in the Nazareno (MG) region.$h[electronic resource]
260 $aIn: ARGENTINE CONGRESS OF GEOLOGY APPLIED TO ENGINEERING AND THE ENVIRONMENT 2.,; IAEG SOUTH AMERICA REGIONAL CONFERENCE 1., 2021, Córdoba. Proceedings... Córdoba: Asagai, 2021. 5 p.$c2021
520 $aAbstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear the places (trenches) and the depths with greater susceptibility to erosion.
650 $aMultivariate analysis
653 $aGully
700 1 $aFERREIRA, R. R. M.
700 1 $aFERREIRA, V. R. M.
700 1 $aRODRIGUES, V. G. S.
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Registro original: |
Embrapa Territorial (CNPM) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
21/12/2010 |
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Data da última atualização: |
22/05/2017 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ALVES, T. de A.; ALVES, R. E.; MOURA, C. F. H.; SILVEIRA, M. R. S. da; FIGUEIREDO, R. W. de. |
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Afiliação: |
Tarcio de Azevedo Alves, UFC Mestrando; RICARDO ELESBAO ALVES, CNPAT; CARLOS FARLEY HERBSTER MOURA, CNPAT; MARCIA REGIA SOUZA DA SILVEIRA, CNPAT; Raimundo Wilane de Figueiredo, UFC. |
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Título: |
Características físicas de frutos da mangabeira (Hancornia speciosa Gomes) nativos do semi-árido piauiense. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Anais... Natal: Sociedade Brasileira de Fruticultura, 2010. |
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Páginas: |
1 PEN-DRIVE |
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Idioma: |
Português |
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Palavras-Chave: |
Genótipos; Mangabeira; Semiárido. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/34563/1/AT10080.pdf
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Marc: |
LEADER 00661nam a2200193 a 4500
001 1870608
005 2017-05-22
008 2010 bl uuuu u00u1 u #d
100 1 $aALVES, T. de A.
245 $aCaracterísticas físicas de frutos da mangabeira (Hancornia speciosa Gomes) nativos do semi-árido piauiense.
260 $aIn: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Anais... Natal: Sociedade Brasileira de Fruticultura$c2010
300 $a1 PEN-DRIVE
653 $aGenótipos
653 $aMangabeira
653 $aSemiárido
700 1 $aALVES, R. E.
700 1 $aMOURA, C. F. H.
700 1 $aSILVEIRA, M. R. S. da
700 1 $aFIGUEIREDO, R. W. de
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Embrapa Agroindústria Tropical (CNPAT) |
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| Registros recuperados : 1 | |
| 1. |  | 0900875, RELATORIO TECNICO ANUAL. EMBRAPA. CNPSA, EMBRAPA-CNPSA, Concordia-SC
Biblioteca(s): Catálogo Coletivo de Periódicos Embrapa; Embrapa Acre; Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Pantanal. |   |
| Registros recuperados : 1 | |
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