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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical Insights into Spatial Patterns: A Panorama About Lacunarity

Sı́lvio M. Duarte Queirós, Marcelo A. Pires, Erveton P. Pinto, Thiago B. F. Antunes et al.
1 citations
Fractal and Fractional
Spatial and Panel Data Analysis
3.13
article

Statistical Insights into Spatial Patterns: A Panorama About Lacunarity

Sı́lvio M. Duarte Queirós, Marcelo A. Pires, Erveton P. Pinto, Thiago B. F. Antunes, Rone N. da Silva
article en
1 citations

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.

Fractal and FractionalVol. 9(9)
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)
Openalex Percentile: Top 7%
Spatial and Panel Data Analysis
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.