The influence of sample density and interpolation type on the elaboration of thematic maps

Detalhes bibliográficos
Autor(a) principal: Coelho, Edy Célia
Data de Publicação: 2009
Outros Autores: Souza, Eduardo Godoy de, Uribe-Opazo, Miguel Angel, Pinheiro Neto, Raimundo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645
Resumo: The objective of this work was to evaluate the influence of the sampling density (three grids) and of the type of interpolation (kriging, inverse of the distance, inverse of the square distance, and polynomial) in the elaboration of thematic maps of soybean yield in an area of Dystroferric Red Nitosol under precision agriculture from 1998 to 2002. The selected grids had 128, 64 and 32 units using stratified systematic aligned sampling (SSAS). The thematic maps was generated from each sampling grid and using each of the interpolators. The relative deviation coefficient (CDR) was proposed to express the average difference in module of the values interpolated in each grid in relation to the considered standard SSAS grid with 128 units and kriging interpolator. The CDR proved efficient in the comparison of maps and made it possible to conclude that to effectively use the entire potential of the kriging, it is necessary to have several points, so that a good semivariogram is constructed. Otherwise, any of the other analyzed interpolators can be used. The SSAS 128 inverse distance method was most similar to the reference, SSAS 128 Kriging.
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spelling The influence of sample density and interpolation type on the elaboration of thematic mapsInfluência da densidade amostral e do tipo de interpolador na elaboração de mapas temáticos - DOI: 10.4025/actasciagron.v31i1.6645precision agriculturegeostatisticssamplingagricultura de precisãogeoestatísticaamostragem.The objective of this work was to evaluate the influence of the sampling density (three grids) and of the type of interpolation (kriging, inverse of the distance, inverse of the square distance, and polynomial) in the elaboration of thematic maps of soybean yield in an area of Dystroferric Red Nitosol under precision agriculture from 1998 to 2002. The selected grids had 128, 64 and 32 units using stratified systematic aligned sampling (SSAS). The thematic maps was generated from each sampling grid and using each of the interpolators. The relative deviation coefficient (CDR) was proposed to express the average difference in module of the values interpolated in each grid in relation to the considered standard SSAS grid with 128 units and kriging interpolator. The CDR proved efficient in the comparison of maps and made it possible to conclude that to effectively use the entire potential of the kriging, it is necessary to have several points, so that a good semivariogram is constructed. Otherwise, any of the other analyzed interpolators can be used. The SSAS 128 inverse distance method was most similar to the reference, SSAS 128 Kriging.O objetivo deste trabalho foi avaliar a influência da densidade amostral (três grades) e do tipo de interpolador (krigagem, inverso da distância, inverso da distância ao quadrado e polinomial) na elaboração de mapas temáticos da produtividade da soja em uma área de LATOSSOLO VERMELHO Distroférrico, no período de 1998 a 2002, conduzida em sistema de agricultura de precisão. As grades selecionadas possuíam 128, 64 e 32 parcelas utilizando amostragem alinhada sistemática estratificada (AASE). A partir de cada grade amostral e utilizando cada um dos interpoladores, foram gerados os mapas temáticos. O coeficiente de desvio relativo (CDR) foi proposto visando expressar a diferença média em módulo dos valores interpolados em cada grade em relação à grade considerada como referência, ou seja, a amostragem alinhada sistemática estratificada, com 128 parcelas, e interpolação por krigagem (AASE 128 Krigagem). O CDR mostrou-se eficiente na comparação de mapas e possibilitou concluir que, para utilizar todo o potencial da krigagem e esse método ser recomendado, é necessário ter muitos pontos para que um bom semivariograma seja construído. Caso contrário, podem-se usar os outros interpoladores analisados. O método amostragem alinhada sistemática estratificada 128 inverso da distância foi o que mais se aproximou do método assumido como referência, AASE 128 Krigagem.Universidade Estadual de Maringá2009-03-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/664510.4025/actasciagron.v31i1.6645Acta Scientiarum. Agronomy; Vol 31 No 1 (2009); 165-174Acta Scientiarum. Agronomy; v. 31 n. 1 (2009); 165-1741807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645/3953http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645/6645Coelho, Edy CéliaSouza, Eduardo Godoy deUribe-Opazo, Miguel AngelPinheiro Neto, Raimundoinfo:eu-repo/semantics/openAccess2022-11-23T18:38:20Zoai:periodicos.uem.br/ojs:article/6645Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:20Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv The influence of sample density and interpolation type on the elaboration of thematic maps
Influência da densidade amostral e do tipo de interpolador na elaboração de mapas temáticos - DOI: 10.4025/actasciagron.v31i1.6645
title The influence of sample density and interpolation type on the elaboration of thematic maps
spellingShingle The influence of sample density and interpolation type on the elaboration of thematic maps
Coelho, Edy Célia
precision agriculture
geostatistics
sampling
agricultura de precisão
geoestatística
amostragem.
title_short The influence of sample density and interpolation type on the elaboration of thematic maps
title_full The influence of sample density and interpolation type on the elaboration of thematic maps
title_fullStr The influence of sample density and interpolation type on the elaboration of thematic maps
title_full_unstemmed The influence of sample density and interpolation type on the elaboration of thematic maps
title_sort The influence of sample density and interpolation type on the elaboration of thematic maps
author Coelho, Edy Célia
author_facet Coelho, Edy Célia
Souza, Eduardo Godoy de
Uribe-Opazo, Miguel Angel
Pinheiro Neto, Raimundo
author_role author
author2 Souza, Eduardo Godoy de
Uribe-Opazo, Miguel Angel
Pinheiro Neto, Raimundo
author2_role author
author
author
dc.contributor.author.fl_str_mv Coelho, Edy Célia
Souza, Eduardo Godoy de
Uribe-Opazo, Miguel Angel
Pinheiro Neto, Raimundo
dc.subject.por.fl_str_mv precision agriculture
geostatistics
sampling
agricultura de precisão
geoestatística
amostragem.
topic precision agriculture
geostatistics
sampling
agricultura de precisão
geoestatística
amostragem.
description The objective of this work was to evaluate the influence of the sampling density (three grids) and of the type of interpolation (kriging, inverse of the distance, inverse of the square distance, and polynomial) in the elaboration of thematic maps of soybean yield in an area of Dystroferric Red Nitosol under precision agriculture from 1998 to 2002. The selected grids had 128, 64 and 32 units using stratified systematic aligned sampling (SSAS). The thematic maps was generated from each sampling grid and using each of the interpolators. The relative deviation coefficient (CDR) was proposed to express the average difference in module of the values interpolated in each grid in relation to the considered standard SSAS grid with 128 units and kriging interpolator. The CDR proved efficient in the comparison of maps and made it possible to conclude that to effectively use the entire potential of the kriging, it is necessary to have several points, so that a good semivariogram is constructed. Otherwise, any of the other analyzed interpolators can be used. The SSAS 128 inverse distance method was most similar to the reference, SSAS 128 Kriging.
publishDate 2009
dc.date.none.fl_str_mv 2009-03-19
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645
10.4025/actasciagron.v31i1.6645
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645
identifier_str_mv 10.4025/actasciagron.v31i1.6645
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645/3953
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6645/6645
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 31 No 1 (2009); 165-174
Acta Scientiarum. Agronomy; v. 31 n. 1 (2009); 165-174
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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