2021
DOI: 10.1016/j.physa.2021.126192
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Lacunarity exponent and Moran index: A complementary methodology to analyze AFM images and its application to chitosan films

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Cited by 21 publications
(13 citation statements)
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“…In this paper, the spatial autocorrelation function (Moran’s I ) is used to analyze the distribution characteristics of outbreak sites (whether agglomerated or not) (Zhao et al, 2020 ). Moran’s I is a standardized measure of spatial autocorrelation among variables of neighboring elements (Pinto et al, 2021 ), varying in the range of − 1 to 1. The closer Moran’s I index is to 0, the less self-correlated (random) H5N1 outbreak sites.…”
Section: Methodsmentioning
confidence: 99%
“…In this paper, the spatial autocorrelation function (Moran’s I ) is used to analyze the distribution characteristics of outbreak sites (whether agglomerated or not) (Zhao et al, 2020 ). Moran’s I is a standardized measure of spatial autocorrelation among variables of neighboring elements (Pinto et al, 2021 ), varying in the range of − 1 to 1. The closer Moran’s I index is to 0, the less self-correlated (random) H5N1 outbreak sites.…”
Section: Methodsmentioning
confidence: 99%
“…The lines used to estimate the Hurst coefficient (HC) display a suitable adjustment to the experimental data. All samples displayed HC > 5, indicating that their height distributions are homogeneous and with probability > 50% of repetition of the height values 43 . As can also be seen, the value of HC increases from 0.511 to 0.728, showing that the annealing temperature plays a critical role on the formation of topographic height distributions more homogeneous.…”
Section: Resultsmentioning
confidence: 95%
“…Lacunarity coefficient is a dimensionless number that quantifies the degree of heterogeneity of a surface. Surfaces with higher values have a more heterogeneous gap distribution, while smaller values reveal surfaces with a more homogeneous distribution. , …”
Section: Computational Details: Advanced Fractal Parametersmentioning
confidence: 99%