Simulação sequencial de atributos diagnósticos do solo
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000500418&lng=pt&nrm=iso&tlng=en http://hdl.handle.net/11449/129287 |
Resumo: | The sequential simulation generates a set of equiprobable images with the same spatial variability of the experimental values. The aim of this study was to determine the spatial dependence of the diagnostic attributes of soil and use the sequential simulation to characterize the probability distribution of the location attribute and verify areas of uncertainty. The study area, with 1200.32 ha, was the experimental farm Edgardia belonging to the Faculdade de Ciencias Agronomicas da Universidade Estadual Paulista, Botucatu, SP. The soil properties were obtained from a sampling grid of 90 points. From the spatial dependency model the direct sequential simulation and sequential indicative simulation was performed. Soil attributes show spatial dependence with different directions to lesser and greater range. The direct sequential simulation and sequential indicative simulation allowed the evaluation of the spatial distribution of the uncertainty of continuous and categorical variables and soil, which can be used to define, with more confidence, soil classes and to integrate studies of sample planning in places where the variability is most pronounced. |
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Simulação sequencial de atributos diagnósticos do soloSequential simulation of diagnostic soil attributesDirect sequential simulationSequential indicative simulationCategorical variableThe sequential simulation generates a set of equiprobable images with the same spatial variability of the experimental values. The aim of this study was to determine the spatial dependence of the diagnostic attributes of soil and use the sequential simulation to characterize the probability distribution of the location attribute and verify areas of uncertainty. The study area, with 1200.32 ha, was the experimental farm Edgardia belonging to the Faculdade de Ciencias Agronomicas da Universidade Estadual Paulista, Botucatu, SP. The soil properties were obtained from a sampling grid of 90 points. From the spatial dependency model the direct sequential simulation and sequential indicative simulation was performed. Soil attributes show spatial dependence with different directions to lesser and greater range. The direct sequential simulation and sequential indicative simulation allowed the evaluation of the spatial distribution of the uncertainty of continuous and categorical variables and soil, which can be used to define, with more confidence, soil classes and to integrate studies of sample planning in places where the variability is most pronounced.A simulação sequencial gera um conjunto de imagens equiprováveis com a mesma variabilidade espacial dos valores experimentais. O objetivo deste estudo foi analisar a dependência espacial dos atributos diagnósticos do solo e aplicar a simulação sequencial para caracterizar a distribuição de probabilidade local dos atributos e verificar as zonas de incerteza. A área de estudo, com 1.200,32 ha, compreende a fazenda experimental Edgardia da Faculdade de Ciências Agronômicas da Universidade Estadual Paulista, Botucatu, SP. Os atributos do solo foram obtidos a partir de uma grade de amostragem de 90 pontos. A partir do modelo de dependência espacial foi realizada a simulação sequencial direta e a simulação sequencial indicativa. Os atributos do solo apresentaram dependência espacial com diferentes direções para menor e maior alcance. A simulação sequencial direta e a simulação sequencial indicativa possibilitaram a avaliação da incerteza da distribuição espacial das variáveis categóricas e contínuas do solo a qual pode ser utilizada para definir, com mais confiança, as classes de solo e para integrar estudos de planejamento amostral em locais em que a variabilidade é mais acentuada.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Univ Estadual Norte Parana, Dept Engn Rural, Bandeirantes, PR, BrazilUniv Tecn Lisboa, Inst Super Tecn Lisboa, Ctr Recursos Nat &Ambiente, P-1096 Lisbon, PortugalUniv Estadual Paulista, Fac Ciencias Agron, Dept Solos &Recursos Ambientais, Botucatu, SP, BrazilUniv Estadual Paulista, Inst Geociencias &Ciencias Exatas, Dept Geol Aplicada, Rio Claro, SP, BrazilDepartamento de Solos e Recursos Ambientais/Faculdade de Ciências Agronômicas/Univervidade Estadual Paulista. Botucatu, SPDepartamento de Geologia Aplicada/Instituto de Geociências e Ciências Exatas/Univervidade Estadual Paulista. Rio Claro, SPUniv Federal Campina GrandeUniversidade Estadual do Norte do Paraná (UENP)Univ Tecn LisboaUniversidade Estadual Paulista (Unesp)Silva, Alessandra F. daPereira, Maria J.Zimback, Celia R. L. [UNESP]Landim, Paulo M. B. [UNESP]Soares, Amilcar2015-10-21T20:45:56Z2015-10-21T20:45:56Z2015-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article418-425application/pdfhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000500418&lng=pt&nrm=iso&tlng=enRevista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 19, n. 5, p. 418-425, 2015.1807-1929http://hdl.handle.net/11449/12928710.1590/1807-1929/agriambi.v19n5p418-425S1415-43662015000500418WOS:000356040700002S1415-43662015000500418.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira De Engenharia Agricola E Ambiental0.619info:eu-repo/semantics/openAccess2024-04-30T19:28:18Zoai:repositorio.unesp.br:11449/129287Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:22:52.301991Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Simulação sequencial de atributos diagnósticos do solo Sequential simulation of diagnostic soil attributes |
title |
Simulação sequencial de atributos diagnósticos do solo |
spellingShingle |
Simulação sequencial de atributos diagnósticos do solo Silva, Alessandra F. da Direct sequential simulation Sequential indicative simulation Categorical variable |
title_short |
Simulação sequencial de atributos diagnósticos do solo |
title_full |
Simulação sequencial de atributos diagnósticos do solo |
title_fullStr |
Simulação sequencial de atributos diagnósticos do solo |
title_full_unstemmed |
Simulação sequencial de atributos diagnósticos do solo |
title_sort |
Simulação sequencial de atributos diagnósticos do solo |
author |
Silva, Alessandra F. da |
author_facet |
Silva, Alessandra F. da Pereira, Maria J. Zimback, Celia R. L. [UNESP] Landim, Paulo M. B. [UNESP] Soares, Amilcar |
author_role |
author |
author2 |
Pereira, Maria J. Zimback, Celia R. L. [UNESP] Landim, Paulo M. B. [UNESP] Soares, Amilcar |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual do Norte do Paraná (UENP) Univ Tecn Lisboa Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Silva, Alessandra F. da Pereira, Maria J. Zimback, Celia R. L. [UNESP] Landim, Paulo M. B. [UNESP] Soares, Amilcar |
dc.subject.por.fl_str_mv |
Direct sequential simulation Sequential indicative simulation Categorical variable |
topic |
Direct sequential simulation Sequential indicative simulation Categorical variable |
description |
The sequential simulation generates a set of equiprobable images with the same spatial variability of the experimental values. The aim of this study was to determine the spatial dependence of the diagnostic attributes of soil and use the sequential simulation to characterize the probability distribution of the location attribute and verify areas of uncertainty. The study area, with 1200.32 ha, was the experimental farm Edgardia belonging to the Faculdade de Ciencias Agronomicas da Universidade Estadual Paulista, Botucatu, SP. The soil properties were obtained from a sampling grid of 90 points. From the spatial dependency model the direct sequential simulation and sequential indicative simulation was performed. Soil attributes show spatial dependence with different directions to lesser and greater range. The direct sequential simulation and sequential indicative simulation allowed the evaluation of the spatial distribution of the uncertainty of continuous and categorical variables and soil, which can be used to define, with more confidence, soil classes and to integrate studies of sample planning in places where the variability is most pronounced. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-21T20:45:56Z 2015-10-21T20:45:56Z 2015-05-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000500418&lng=pt&nrm=iso&tlng=en Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 19, n. 5, p. 418-425, 2015. 1807-1929 http://hdl.handle.net/11449/129287 10.1590/1807-1929/agriambi.v19n5p418-425 S1415-43662015000500418 WOS:000356040700002 S1415-43662015000500418.pdf |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662015000500418&lng=pt&nrm=iso&tlng=en http://hdl.handle.net/11449/129287 |
identifier_str_mv |
Revista Brasileira De Engenharia Agricola E Ambiental. Campina Grande Pb: Univ Federal Campina Grande, v. 19, n. 5, p. 418-425, 2015. 1807-1929 10.1590/1807-1929/agriambi.v19n5p418-425 S1415-43662015000500418 WOS:000356040700002 S1415-43662015000500418.pdf |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista Brasileira De Engenharia Agricola E Ambiental 0.619 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
418-425 application/pdf |
dc.publisher.none.fl_str_mv |
Univ Federal Campina Grande |
publisher.none.fl_str_mv |
Univ Federal Campina Grande |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128506200064000 |