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 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.
Authors
- Sı́lvio M. Duarte Queirós (ORCID: https://orcid.org/0000-0001-6915-1892)
- Marcelo A. Pires (ORCID: https://orcid.org/0000-0002-8333-7236)
- Erveton P. Pinto (ORCID: https://orcid.org/0000-0002-4927-0883)
- Thiago B. F. Antunes
- Rone N. da Silva
Institutions
- Secretaria Municipal de Educação de São Paulo (BR)
- Centro Brasileiro de Pesquisas Físicas (BR)
- Universidade Federal do Amapá (BR)
- National Institute of Science and Technology in Regenerative Medicine (BR)
- Universidade Federal de Alagoas (BR)
Publication Details
- Journal
- Fractal and Fractional
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3390/fractalfract9090570
- Citations
- 1
- Primary Topic
- Spatial and Panel Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.13