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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
06/10/1997 |
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Data da última atualização: |
06/10/1997 |
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Autoria: |
AVILA, A. F. D. |
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Afiliação: |
EMBRAPA/PROCISUR. |
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Título: |
Modelos de organizacion institucional |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
Montevideo: PROCISUE-IICA, 1997 |
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Páginas: |
p.89-96 |
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ISBN: |
92.9039-314-9 |
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Idioma: |
Espanhol |
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Notas: |
In: Presentaciones y conclusiones del Foro Estrategico. Solis (Maldonado), Uruguay: nov. 1996. |
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Conteúdo: |
Los recientes cambios en los escenarios internacional, subregional (Cono Sul) y nacional son resultantes de cambios en los modelos de desarrollo vigentes en las ultimas decadas y por consiguiente, estan provocando ajustes en las matrices institucionales en todos los paises, entre los cuales se incluyen aquellos integrantes del PROCISUR. Estos ajustes estructurales pasan por una redefinicion del rol del sector publico en el desarrollo tecnologico para el sector agropecuario, al mismo tiempo que las actuales demandas pressentadas a las instituciones de ciencia y tecnologia requieren de las mismas una actuacion mucho mas amplia que en el paasado. |
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Categoria do assunto: |
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Marc: |
LEADER 01080naa a2200145 a 4500
001 1645329
005 1997-10-06
008 1997 bl uuuu u00u1 u #d
100 1 $aAVILA, A. F. D.
245 $aModelos de organizacion institucional
260 $c1997
300 $ap.89-96
500 $aIn: Presentaciones y conclusiones del Foro Estrategico. Solis (Maldonado), Uruguay: nov. 1996.
520 $aLos recientes cambios en los escenarios internacional, subregional (Cono Sul) y nacional son resultantes de cambios en los modelos de desarrollo vigentes en las ultimas decadas y por consiguiente, estan provocando ajustes en las matrices institucionales en todos los paises, entre los cuales se incluyen aquellos integrantes del PROCISUR. Estos ajustes estructurales pasan por una redefinicion del rol del sector publico en el desarrollo tecnologico para el sector agropecuario, al mismo tiempo que las actuales demandas pressentadas a las instituciones de ciencia y tecnologia requieren de las mismas una actuacion mucho mas amplia que en el paasado.
773 $tMontevideo: PROCISUE-IICA, 1997
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Registro original: |
Embrapa Mandioca e Fruticultura (CNPMF) |
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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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