Statistical Insights into Spatial Patterns: A Panorama About Lacunarity
This overview is designed to illuminate the concept and utility of lacunarity. We first establish a strong foundation with a pedagogical introduction to the lacunarity measure applied to images, detailing analytical examples and a general approach. In the second part, we compare the available softwa...
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| Published in | Fractal and fractional Vol. 9; no. 9; p. 570 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
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MDPI AG
01.09.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2504-3110 2504-3110 |
| DOI | 10.3390/fractalfract9090570 |
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| Abstract | This overview is designed to illuminate the concept and utility of lacunarity. We first establish a strong foundation with a pedagogical introduction to the lacunarity measure applied to images, detailing analytical examples and a general approach. In the second part, we compare the available software for estimating the lacunarity of images. Related to this goal, we also provide an open-source code in R and Python. The third part then synthesizes these theoretical and computational aspects by presenting an analysis of the diverse applications of lacunarity across various scientific disciplines, utilizing VOSviewer networks to visually organize research topics into distinct clusters. We identify distinct thematic clusters in materials science, biological systems, and medical imaging. |
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| AbstractList | This overview is designed to illuminate the concept and utility of lacunarity. We first establish a strong foundation with a pedagogical introduction to the lacunarity measure applied to images, detailing analytical examples and a general approach. In the second part, we compare the available software for estimating the lacunarity of images. Related to this goal, we also provide an open-source code in R and Python. The third part then synthesizes these theoretical and computational aspects by presenting an analysis of the diverse applications of lacunarity across various scientific disciplines, utilizing VOSviewer networks to visually organize research topics into distinct clusters. We identify distinct thematic clusters in materials science, biological systems, and medical imaging. |
| Audience | Academic |
| Author | Antunes, Thiago B. F. Pires, Marcelo A. da Silva, Rone N. Queirós, Sílvio M. Duarte Pinto, Erveton P. |
| Author_xml | – sequence: 1 givenname: Erveton P. orcidid: 0000-0002-4927-0883 surname: Pinto fullname: Pinto, Erveton P. – sequence: 2 givenname: Marcelo A. orcidid: 0000-0002-8333-7236 surname: Pires fullname: Pires, Marcelo A. – sequence: 3 givenname: Thiago B. F. orcidid: 0009-0002-7682-3735 surname: Antunes fullname: Antunes, Thiago B. F. – sequence: 4 givenname: Rone N. orcidid: 0009-0007-0389-6673 surname: da Silva fullname: da Silva, Rone N. – sequence: 5 givenname: Sílvio M. Duarte orcidid: 0000-0001-6915-1892 surname: Queirós fullname: Queirós, Sílvio M. Duarte |
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| Cites_doi | 10.5194/npg-17-499-2010 10.1016/j.softx.2020.100574 10.1029/2021EA002180 10.1016/j.physa.2021.126192 10.3389/fncel.2013.00003 10.4025/actascitechnol.v40i1.36655 10.3390/fractalfract8080440 10.3390/agriculture15020200 10.1038/nrclinonc.2015.108 10.3390/agriengineering7010009 10.1126/science.156.3775.636 10.1016/j.net.2024.07.057 10.1016/j.chaos.2020.110073 10.1103/PhysRevE.72.041306 10.1016/S0165-0270(96)00080-5 10.3390/fractalfract6030135 10.1371/journal.pone.0292217 10.1007/978-3-0348-7755-8_2 10.22436/jmcs.038.03.04 10.1007/s11192-009-0146-3 10.1080/02670844.2019.1710937 10.1016/j.physa.2009.07.032 10.1016/j.flora.2023.152355 10.3390/atmos14091359 10.1007/978-3-0348-8501-0_2 10.1016/j.jhydrol.2019.124198 10.1103/PhysRevE.53.5461 10.1063/5.0233604 10.1103/PhysRevA.44.3552 10.1063/5.0160394 10.1016/0167-2789(83)90235-X 10.3390/jcm11144051 10.1259/dmfr/85149245 10.20944/preprints202401.0490.v1 10.1063/1.2432410 10.1080/01431160600676695 10.1007/978-3-031-47606-8_16 10.1142/S0218348X24500178 10.2144/000112517 10.1007/BF00125351 10.2478/s11534-011-0096-2 10.1007/s11071-021-06457-5 10.1016/j.compenvurbsys.2005.01.007 10.5194/npg-14-109-2007 |
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| SubjectTerms | Algorithms Clusters computational Fractals image analysis lacunarity Medical imaging Medical imaging equipment Pedagogy Python Source code texture |
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| Title | Statistical Insights into Spatial Patterns: A Panorama About Lacunarity |
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