Estimation of lacunarity using gamma regression model

Authors

  • Leandro Ricardo Rodrigues de Lucena Universidade Federal Rural de Pernambuco http://orcid.org/0000-0001-6985-7668
  • Silvio Fernando Alves Xavier Júnior Universidade Estadual da Paraí­ba

DOI:

https://doi.org/10.4025/actascitechnol.v42i1.41950

Keywords:

lacunarity; gamma model; fractal.

Abstract

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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Published

2019-10-03

How to Cite

Lucena, L. R. R. de, & Xavier Júnior, S. F. A. (2019). Estimation of lacunarity using gamma regression model. Acta Scientiarum. Technology, 42(1), e41950. https://doi.org/10.4025/actascitechnol.v42i1.41950

Issue

Vol. 42 (2020): Publicação contí­nua

Section

Statistics

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