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| 7. |  | FERREIRA, R. R. M.; FERREIRA, V. M. Uso do modelo matemático SWAT para avaliar o impacto das práticas de manejo do solo. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 20., 2016, Foz do Iguaçu. O Solo sob ameaça: conexões necessárias ao manejo e conservação do solo e água: anais. Curitiba: SBCS: IAPAR, 2016. p. 788-790. Editores: Arnaldo Colozzi Filho, João Henrique Caviglione, Graziela Moraes de Cesare Barbosa, Luciano Grillo Gil, Tiago Santos Telles.| Biblioteca(s): Embrapa Acre. |
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| 9. | | FERREIRA, R. R. M.; ANDRADE NETO, R. de C. Calagem e adubação. In: ANDRADE NETO, R. de C.; NOGUEIRA, S. R.; NASCIMENTO, G. C. do; NEGREIROS, J. R. da S.; GOMES, F. C. da R. Sistema de produção da cultura do abacaxi para o estado do Acre. Rio Branco, AC: Embrapa Acre, 2018. Publicação eletrônica. (Embrapa Acre. Sistema de produção, 9).| Biblioteca(s): Embrapa Acre. |
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| 11. | | SOUZA, D. T. de; FERREIRA, R. R. M.; CASTRO, G. S. A.; MIRANDA, E. E. de. Costs of opportunity and potential for the generation of jobs, taxes, and food in mandatory environmental reserves of Brazilian rural properties. Pesquisa Florestal Brasileira, v. 39, e201902043, p. 139-140, 2019. Special issue. Abstracts of the XXV IUFRO World Congress, 2019.| Biblioteca(s): Embrapa Territorial. |
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| 13. | | REIS, A. P. L. DOS; FERREIRA, R. R. M.; FARIAS, A. R.; FONSECA, M. F. Análise dos custos de produção da suinocultura, piscicultura e avicultura no Estado do Paraná, de 2017 a 2022. In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 17., 2023, Campinas. Anais [...]. Campinas: Embrapa Territorial, 2023. 11 p. CIIC 2023. Nº 23501.| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 48 | |
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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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