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Cited by 582

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Lacunarity analysis: A general technique for the analysis of spatial patterns

Plotnick, Roy E., Gardner, Robert H., Hargrove, William W., Prestegaard, Karen, Perlmutter, Martin·1996·Physical Review E
DOI 10.1103/physreve.53.5461
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Abstract

Lacunarity analysis is a multiscaled method for describing patterns of spatial dispersion. It can be used with both binary and quantitative data in one, two, and three dimensions. Although originally developed for fractal objects, the method is more general and can be readily used to describe nonfractal and multifractal patterns. Lacunarity analysis is broadly applicable to many data sets used in the natural sciences; we illustrate its application to both geological and ecological data. \textcopyright{} 1996 The American Physical Society.

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Metadata

Authors
Plotnick, R. E., Gardner, R. H., Hargrove, W. W., Prestegaard, K., & Perlmutter, M.
Venue
Physical Review E
Publisher
American Physical Society (APS)
Published
1996-05-01
Volume
53
Issue
5
Pages
5461-5468
ISSN
  • 1063-651X (ISSN-L)
  • 1095-3787
DOI
10.1103/physreve.53.5461
OpenAlex
W2154161333
Cited by
582
References
0
FWCI
9.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Lacunarity analysis: A general technique for the analysis of spatial patterns. https://app.cochat.ai/papers/10.1103/physreve.53.5461
The paper
Plotnick, R. E., Gardner, R. H., Hargrove, W. W., Prestegaard, K., & Perlmutter, M. (1996). Lacunarity analysis: A general technique for the analysis of spatial patterns. Physical Review E. https://doi.org/10.1103/physreve.53.5461

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.