Use of qualitative variables of location in volumetric equations and the selection of models
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Data de Publicação: | 2021 |
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Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Ciência Florestal (Online) |
Texto Completo: | https://periodicos.ufsm.br/cienciaflorestal/article/view/40926 |
Resumo: | Forest volume prediction is essential for many logistical purposes, such as transportation, harvesting and others. Therefore, the measurement of such a variable is indispensable for a forest enterprise. For such measurement, mathematical models are used to quantify the wood in the field. The aim is to evaluate the impact of incorporating locality information as indicator variables on the predictive accuracy of volumetric equation models, and to verify whether this incorporation influences the choice of the most appropriate model. A total of 11 volumetric models were used, divided into double entry and local models. For the qualitative variables the information of city, farm, stratum and field was used. It was observed the coefficient of determination, standard error of the estimate and various indexes related to the residuals, such as the mean absolute deviation, interquartile distance, range of variation, among others. In addition to the indices, the scatter plots, quantile-quantile and boxplot were analyzed. To evaluate the heteroscedasticity of the models, the Spearman correlation coefficient and the adjusted values of the models were calculated. The qualitative variables adjusted with a different intercept for each variable within the model and in a second moment the models were interacted with the qualitative variables. |
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Use of qualitative variables of location in volumetric equations and the selection of modelsUtilização de variáveis qualitativas de localização em equações volumétricas e a seleção de modelosForest InventoryEucalyptusInteractionInventário florestalEucaliptoInteraçãoForest volume prediction is essential for many logistical purposes, such as transportation, harvesting and others. Therefore, the measurement of such a variable is indispensable for a forest enterprise. For such measurement, mathematical models are used to quantify the wood in the field. The aim is to evaluate the impact of incorporating locality information as indicator variables on the predictive accuracy of volumetric equation models, and to verify whether this incorporation influences the choice of the most appropriate model. A total of 11 volumetric models were used, divided into double entry and local models. For the qualitative variables the information of city, farm, stratum and field was used. It was observed the coefficient of determination, standard error of the estimate and various indexes related to the residuals, such as the mean absolute deviation, interquartile distance, range of variation, among others. In addition to the indices, the scatter plots, quantile-quantile and boxplot were analyzed. To evaluate the heteroscedasticity of the models, the Spearman correlation coefficient and the adjusted values of the models were calculated. The qualitative variables adjusted with a different intercept for each variable within the model and in a second moment the models were interacted with the qualitative variables.A predição de volume da floresta é essencial para diversas finalidades logísticas como o transporte, colheita entre outros fins. Portanto, a medição de tal variável é indispensável para um empreendimento florestal. Para tal medição, são utilizados modelos matemáticos para a quantificação da madeira em campo. O trabalho visa avaliar o impacto da incorporação da informação de localidade, na forma de variáveis indicadoras sobre a acurácia preditiva dos modelos de equações volumétricas, verificando se essa incorporação influencia a escolha do modelo mais apropriado. Ao todo, foram utilizados 11 modelos volumétricos divididos entre modelos de dupla entrada e locais. Para as variáveis qualitativas, foram utilizadas as informações de município, fazenda, estrato e talhão. Foram observados o coeficiente de determinação, erro padrão da estimativa e vários índices relativos aos resíduos, como o desvio absoluto médio, distância interquartil, amplitude de variação, entre outros. Além dos índices, foram analisados os gráficos de dispersão, quantil-quantil e boxplot. Para avaliar a heteroscedasticidade dos modelos, foi calculado o coeficiente de correlação de Spearman e os valores ajustados dos modelos. As variáveis qualitativas ajustadas com um intercepto diferente para cada variável dentro do modelo e em um segundo momento os modelos foram interagidos com as variáveis qualitativas.Universidade Federal de Santa Maria2021-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttps://periodicos.ufsm.br/cienciaflorestal/article/view/4092610.5902/1980509840926Ciência Florestal; Vol. 31 No. 4 (2021); 1968-1990Ciência Florestal; v. 31 n. 4 (2021); 1968-19901980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/40926/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/40926/49138https://periodicos.ufsm.br/cienciaflorestal/article/view/40926/52488Copyright (c) 2021 Ciência Florestalhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessFerreira, Vinicius PizzoBatista, João Luís Ferreira2023-04-24T11:17:18Zoai:ojs.pkp.sfu.ca:article/40926Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2023-04-24T11:17:18Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false |
dc.title.none.fl_str_mv |
Use of qualitative variables of location in volumetric equations and the selection of models Utilização de variáveis qualitativas de localização em equações volumétricas e a seleção de modelos |
title |
Use of qualitative variables of location in volumetric equations and the selection of models |
spellingShingle |
Use of qualitative variables of location in volumetric equations and the selection of models Ferreira, Vinicius Pizzo Forest Inventory Eucalyptus Interaction Inventário florestal Eucalipto Interação |
title_short |
Use of qualitative variables of location in volumetric equations and the selection of models |
title_full |
Use of qualitative variables of location in volumetric equations and the selection of models |
title_fullStr |
Use of qualitative variables of location in volumetric equations and the selection of models |
title_full_unstemmed |
Use of qualitative variables of location in volumetric equations and the selection of models |
title_sort |
Use of qualitative variables of location in volumetric equations and the selection of models |
author |
Ferreira, Vinicius Pizzo |
author_facet |
Ferreira, Vinicius Pizzo Batista, João Luís Ferreira |
author_role |
author |
author2 |
Batista, João Luís Ferreira |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ferreira, Vinicius Pizzo Batista, João Luís Ferreira |
dc.subject.por.fl_str_mv |
Forest Inventory Eucalyptus Interaction Inventário florestal Eucalipto Interação |
topic |
Forest Inventory Eucalyptus Interaction Inventário florestal Eucalipto Interação |
description |
Forest volume prediction is essential for many logistical purposes, such as transportation, harvesting and others. Therefore, the measurement of such a variable is indispensable for a forest enterprise. For such measurement, mathematical models are used to quantify the wood in the field. The aim is to evaluate the impact of incorporating locality information as indicator variables on the predictive accuracy of volumetric equation models, and to verify whether this incorporation influences the choice of the most appropriate model. A total of 11 volumetric models were used, divided into double entry and local models. For the qualitative variables the information of city, farm, stratum and field was used. It was observed the coefficient of determination, standard error of the estimate and various indexes related to the residuals, such as the mean absolute deviation, interquartile distance, range of variation, among others. In addition to the indices, the scatter plots, quantile-quantile and boxplot were analyzed. To evaluate the heteroscedasticity of the models, the Spearman correlation coefficient and the adjusted values of the models were calculated. The qualitative variables adjusted with a different intercept for each variable within the model and in a second moment the models were interacted with the qualitative variables. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-17 |
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://periodicos.ufsm.br/cienciaflorestal/article/view/40926 10.5902/1980509840926 |
url |
https://periodicos.ufsm.br/cienciaflorestal/article/view/40926 |
identifier_str_mv |
10.5902/1980509840926 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaflorestal/article/view/40926/pdf https://periodicos.ufsm.br/cienciaflorestal/article/view/40926/49138 https://periodicos.ufsm.br/cienciaflorestal/article/view/40926/52488 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Ciência Florestal http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html text/xml |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal; Vol. 31 No. 4 (2021); 1968-1990 Ciência Florestal; v. 31 n. 4 (2021); 1968-1990 1980-5098 0103-9954 reponame:Ciência Florestal (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Florestal (Online) |
collection |
Ciência Florestal (Online) |
repository.name.fl_str_mv |
Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM) |
repository.mail.fl_str_mv |
||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br |
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1799944135207026688 |