Computational system for geostatistical analysis

Detalhes bibliográficos
Autor(a) principal: Vendrusculo, Laurimar Gonçalves
Data de Publicação: 2004
Outros Autores: Magalhães, Paulo Sérgio Graziano, Vieira, Sidney Rosa, Carvalho, José Ruy Porto de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: https://www.revistas.usp.br/sa/article/view/21957
Resumo: Geostatistics identifies the spatial structure of variables representing several phenomena and its use is becoming more intense in agricultural activities. This paper describes a computer program, based on Windows Interfaces (Borland Delphi), which performs spatial analyses of datasets through geostatistic tools: Classical statistical calculations, average, cross- and directional semivariograms, simple kriging estimates and jackknifing calculations. A published dataset of soil Carbon and Nitrogen was used to validate the system. The system was useful for the geostatistical analysis process, for the manipulation of the computational routines in a MS-DOS environment. The Windows development approach allowed the user to model the semivariogram graphically with a major degree of interaction, functionality rarely available in similar programs. Given its characteristic of quick prototypation and simplicity when incorporating correlated routines, the Delphi environment presents the main advantage of permitting the evolution of this system.
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spelling Computational system for geostatistical analysis Sistema computacional para análise geoestatística spatial variabilitysemivariogramsoftwarevariabilidade espacialsemivariogramatecnologias de informação Geostatistics identifies the spatial structure of variables representing several phenomena and its use is becoming more intense in agricultural activities. This paper describes a computer program, based on Windows Interfaces (Borland Delphi), which performs spatial analyses of datasets through geostatistic tools: Classical statistical calculations, average, cross- and directional semivariograms, simple kriging estimates and jackknifing calculations. A published dataset of soil Carbon and Nitrogen was used to validate the system. The system was useful for the geostatistical analysis process, for the manipulation of the computational routines in a MS-DOS environment. The Windows development approach allowed the user to model the semivariogram graphically with a major degree of interaction, functionality rarely available in similar programs. Given its characteristic of quick prototypation and simplicity when incorporating correlated routines, the Delphi environment presents the main advantage of permitting the evolution of this system. O uso da geoestatística como técnica para identificação da estrutura espacial de vários fenômenos vem crescendo em aplicações agrícolas. Este trabalho apresenta um sistema computacional implementado em ambiente Windows (Borland Delphi), voltado à análise espacial de dados por meio de ferramentas, como estatísticas descritivas, modelagem de semivariogramas médios, direcionais e cruzados, auto-validação (Jack-Knifing) e krigagem. A fim de avaliar a acurácia dos resultados, o sistema foi testado por meio de um conjunto de dados de carbono e nitrogênio publicados em literatura. O sistema foi eficiente no processo de análise geoestatística para manipulação da rotina computacional num ambiente MS-DOS. A tentativa de desenvolvimento no Windows permitiu ao usuário modelar graficamente o semivariograma com maior grau de interação, sendo esta funcionalidade raramente disponível em programas similares. Devido a sua rápida prototipação e simplicidade após a incorporação de rotinas correlatas, o ambiente Delphi apresenta a principal vantagem de permitir a evolução do sistema. Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2004-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/2195710.1590/S0103-90162004000100017Scientia Agricola; v. 61 n. 1 (2004); 100-107Scientia Agricola; Vol. 61 No. 1 (2004); 100-107Scientia Agricola; Vol. 61 Núm. 1 (2004); 100-1071678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/21957/23981Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessVendrusculo, Laurimar GonçalvesMagalhães, Paulo Sérgio GrazianoVieira, Sidney RosaCarvalho, José Ruy Porto de2015-07-07T16:44:54Zoai:revistas.usp.br:article/21957Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2015-07-07T16:44:54Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Computational system for geostatistical analysis
Sistema computacional para análise geoestatística
title Computational system for geostatistical analysis
spellingShingle Computational system for geostatistical analysis
Vendrusculo, Laurimar Gonçalves
spatial variability
semivariogram
software
variabilidade espacial
semivariograma
tecnologias de informação
title_short Computational system for geostatistical analysis
title_full Computational system for geostatistical analysis
title_fullStr Computational system for geostatistical analysis
title_full_unstemmed Computational system for geostatistical analysis
title_sort Computational system for geostatistical analysis
author Vendrusculo, Laurimar Gonçalves
author_facet Vendrusculo, Laurimar Gonçalves
Magalhães, Paulo Sérgio Graziano
Vieira, Sidney Rosa
Carvalho, José Ruy Porto de
author_role author
author2 Magalhães, Paulo Sérgio Graziano
Vieira, Sidney Rosa
Carvalho, José Ruy Porto de
author2_role author
author
author
dc.contributor.author.fl_str_mv Vendrusculo, Laurimar Gonçalves
Magalhães, Paulo Sérgio Graziano
Vieira, Sidney Rosa
Carvalho, José Ruy Porto de
dc.subject.por.fl_str_mv spatial variability
semivariogram
software
variabilidade espacial
semivariograma
tecnologias de informação
topic spatial variability
semivariogram
software
variabilidade espacial
semivariograma
tecnologias de informação
description Geostatistics identifies the spatial structure of variables representing several phenomena and its use is becoming more intense in agricultural activities. This paper describes a computer program, based on Windows Interfaces (Borland Delphi), which performs spatial analyses of datasets through geostatistic tools: Classical statistical calculations, average, cross- and directional semivariograms, simple kriging estimates and jackknifing calculations. A published dataset of soil Carbon and Nitrogen was used to validate the system. The system was useful for the geostatistical analysis process, for the manipulation of the computational routines in a MS-DOS environment. The Windows development approach allowed the user to model the semivariogram graphically with a major degree of interaction, functionality rarely available in similar programs. Given its characteristic of quick prototypation and simplicity when incorporating correlated routines, the Delphi environment presents the main advantage of permitting the evolution of this system.
publishDate 2004
dc.date.none.fl_str_mv 2004-02-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.revistas.usp.br/sa/article/view/21957
10.1590/S0103-90162004000100017
url https://www.revistas.usp.br/sa/article/view/21957
identifier_str_mv 10.1590/S0103-90162004000100017
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.revistas.usp.br/sa/article/view/21957/23981
dc.rights.driver.fl_str_mv Copyright (c) 2015 Scientia Agricola
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2015 Scientia Agricola
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
publisher.none.fl_str_mv Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz
dc.source.none.fl_str_mv Scientia Agricola; v. 61 n. 1 (2004); 100-107
Scientia Agricola; Vol. 61 No. 1 (2004); 100-107
Scientia Agricola; Vol. 61 Núm. 1 (2004); 100-107
1678-992X
0103-9016
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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