PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION

Detalhes bibliográficos
Autor(a) principal: Lundgren, Wellington Jorge Cavalcanti
Data de Publicação: 2016
Outros Autores: Silva, José Antônio Aleixo da, Ferreira, Rinaldo Luiz Caraciolo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cerne (Online)
Texto Completo: https://cerne.ufla.br/site/index.php/CERNE/article/view/1061
Resumo: In the Gypsum Pole of Araripe, semiarid zone of Pernambuco, where is produces 97% of the plaster consumed in Brazil, a forest experiment with 1875 eucalyptus was cut off and all the trees were rigorously cubed by the Smalian method. The location of each tree was marked on a Cartesian plane, and a sample of 200 trees was removed by entirely random process. In the 200 sample trees, three estimation methods for variable volume timber, regression analysis, kriging and cokriging were used. To cokriging method, the secondary variable was the DBH (Diameter at Breast Height), and for the regression model of Spurr or the combined variable, it uses two explanatory variables: total height of the tree (H) and the DBH. The variables volume and DBH showed spatial dependency. To compare de methods it was used the coefficient of determination (R2) and the residual distribution of the errors (real x estimated data). The best results were achieved with the Spurr equation R2 = 0.82 and total volume estimated 166.25 m3. The cokriging provided and R2 = 0.72 with total volume estimated of 164.14 m3 and kriging had R2 = 0.32 and the total volume estimated of 163.21 m3. The real volume of the experiment was 166.14 m3. 
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spelling PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSIONForest inventoryVolume of timberGeostatistics.In the Gypsum Pole of Araripe, semiarid zone of Pernambuco, where is produces 97% of the plaster consumed in Brazil, a forest experiment with 1875 eucalyptus was cut off and all the trees were rigorously cubed by the Smalian method. The location of each tree was marked on a Cartesian plane, and a sample of 200 trees was removed by entirely random process. In the 200 sample trees, three estimation methods for variable volume timber, regression analysis, kriging and cokriging were used. To cokriging method, the secondary variable was the DBH (Diameter at Breast Height), and for the regression model of Spurr or the combined variable, it uses two explanatory variables: total height of the tree (H) and the DBH. The variables volume and DBH showed spatial dependency. To compare de methods it was used the coefficient of determination (R2) and the residual distribution of the errors (real x estimated data). The best results were achieved with the Spurr equation R2 = 0.82 and total volume estimated 166.25 m3. The cokriging provided and R2 = 0.72 with total volume estimated of 164.14 m3 and kriging had R2 = 0.32 and the total volume estimated of 163.21 m3. The real volume of the experiment was 166.14 m3. CERNECERNE2016-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/1061CERNE; Vol. 21 No. 2 (2015); 243-250CERNE; v. 21 n. 2 (2015); 243-2502317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/1061/832Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessLundgren, Wellington Jorge CavalcantiSilva, José Antônio Aleixo daFerreira, Rinaldo Luiz Caraciolo2016-04-20T10:37:29Zoai:cerne.ufla.br:article/1061Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:21.981839Cerne (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
title PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
spellingShingle PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
Lundgren, Wellington Jorge Cavalcanti
Forest inventory
Volume of timber
Geostatistics.
title_short PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
title_full PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
title_fullStr PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
title_full_unstemmed PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
title_sort PREDICTIONG OF EUCALYPTUS WOOD BY COKRIGING, KRIGING AND REGRESSION
author Lundgren, Wellington Jorge Cavalcanti
author_facet Lundgren, Wellington Jorge Cavalcanti
Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
author_role author
author2 Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
author2_role author
author
dc.contributor.author.fl_str_mv Lundgren, Wellington Jorge Cavalcanti
Silva, José Antônio Aleixo da
Ferreira, Rinaldo Luiz Caraciolo
dc.subject.por.fl_str_mv Forest inventory
Volume of timber
Geostatistics.
topic Forest inventory
Volume of timber
Geostatistics.
description In the Gypsum Pole of Araripe, semiarid zone of Pernambuco, where is produces 97% of the plaster consumed in Brazil, a forest experiment with 1875 eucalyptus was cut off and all the trees were rigorously cubed by the Smalian method. The location of each tree was marked on a Cartesian plane, and a sample of 200 trees was removed by entirely random process. In the 200 sample trees, three estimation methods for variable volume timber, regression analysis, kriging and cokriging were used. To cokriging method, the secondary variable was the DBH (Diameter at Breast Height), and for the regression model of Spurr or the combined variable, it uses two explanatory variables: total height of the tree (H) and the DBH. The variables volume and DBH showed spatial dependency. To compare de methods it was used the coefficient of determination (R2) and the residual distribution of the errors (real x estimated data). The best results were achieved with the Spurr equation R2 = 0.82 and total volume estimated 166.25 m3. The cokriging provided and R2 = 0.72 with total volume estimated of 164.14 m3 and kriging had R2 = 0.32 and the total volume estimated of 163.21 m3. The real volume of the experiment was 166.14 m3. 
publishDate 2016
dc.date.none.fl_str_mv 2016-04-07
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://cerne.ufla.br/site/index.php/CERNE/article/view/1061
url https://cerne.ufla.br/site/index.php/CERNE/article/view/1061
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cerne.ufla.br/site/index.php/CERNE/article/view/1061/832
dc.rights.driver.fl_str_mv Copyright (c) 2016 CERNE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 CERNE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv CERNE
CERNE
publisher.none.fl_str_mv CERNE
CERNE
dc.source.none.fl_str_mv CERNE; Vol. 21 No. 2 (2015); 243-250
CERNE; v. 21 n. 2 (2015); 243-250
2317-6342
0104-7760
reponame:Cerne (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Cerne (Online)
collection Cerne (Online)
repository.name.fl_str_mv Cerne (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv cerne@dcf.ufla.br||cerne@dcf.ufla.br
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