Estimation of lacunarity using gamma regression model
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950 |
Resumo: | In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates. |
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Acta scientiarum. Technology (Online) |
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Estimation of lacunarity using gamma regression modellacunarity; gamma model; fractal.In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates.Universidade Estadual De Maringá2019-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4195010.4025/actascitechnol.v42i1.41950Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e41950Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e419501806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950/751375148492Copyright (c) 2019 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLucena, Leandro Ricardo Rodrigues deXavier Júnior, Silvio Fernando Alves2020-05-05T15:19:27Zoai:periodicos.uem.br/ojs:article/41950Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-05-05T15:19:27Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Estimation of lacunarity using gamma regression model |
title |
Estimation of lacunarity using gamma regression model |
spellingShingle |
Estimation of lacunarity using gamma regression model Lucena, Leandro Ricardo Rodrigues de lacunarity; gamma model; fractal. |
title_short |
Estimation of lacunarity using gamma regression model |
title_full |
Estimation of lacunarity using gamma regression model |
title_fullStr |
Estimation of lacunarity using gamma regression model |
title_full_unstemmed |
Estimation of lacunarity using gamma regression model |
title_sort |
Estimation of lacunarity using gamma regression model |
author |
Lucena, Leandro Ricardo Rodrigues de |
author_facet |
Lucena, Leandro Ricardo Rodrigues de Xavier Júnior, Silvio Fernando Alves |
author_role |
author |
author2 |
Xavier Júnior, Silvio Fernando Alves |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Lucena, Leandro Ricardo Rodrigues de Xavier Júnior, Silvio Fernando Alves |
dc.subject.por.fl_str_mv |
lacunarity; gamma model; fractal. |
topic |
lacunarity; gamma model; fractal. |
description |
In this study we evaluate estimated lacunarity in three different databases using the power (standard) and gamma model. Results showed that estimates of lacunarity using gamma regression model was superior to those with the power regression model. The gamma regression model had a higher coefficient of model determination than the power regression model for all three used databases and, additionally, had smaller sums of residuals squared. The Gamma model was chosen the most appropriate model for lacunarity estimates. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-03 |
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/ActaSciTechnol/article/view/41950 10.4025/actascitechnol.v42i1.41950 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950 |
identifier_str_mv |
10.4025/actascitechnol.v42i1.41950 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/41950/751375148492 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2019 Acta Scientiarum. Technology https://creativecommons.org/licenses/by/4.0 |
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. Technology; Vol 42 (2020): Publicação contínua; e41950 Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e41950 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (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. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315336906932224 |