fastLISA: Fast Local Indicators of Spatial Association (LISA)

Computes various Local Indicators of Spatial Association (LISA) statistics, including univariate and bivariate local Moran's I, Empirical Bayes local Moran's I, univariate and multivariate local Geary's C, and Getis-Ord G and G* statistics. The methods follow Anselin (1995), Getis and Ord (1992), and Anselin (2019). Leverages a high-performance, plain-C backend with optional 'OpenMP' multi-core support for fast permutation-based pseudo-p-value calculation. Accepts any 'spdep' listw spatial weight matrix, including custom and non-contiguity weights. Uses sample standardisation (n-1) and 'rgeoda'-style permutation p-values. Output cluster codes match 'rgeoda' conventions, including the Isolated category for observations without neighbours.

Version:	1.0.1
Imports:	stats
Suggests:	spdep
Published:	2026-07-07
DOI:	10.32614/CRAN.package.fastLISA
Author:	Lizhong Chen [aut, cre]
Maintainer:	Lizhong Chen <chen.l at wehi.edu.au>
BugReports:	https://github.com/lizhongc/fastLISA/issues
License:	GPL-3
Copyright:	see file COPYRIGHTS
URL:	https://github.com/lizhongc/fastLISA
NeedsCompilation:	yes
SystemRequirements:	C99, optional OpenMP
Materials:	README, NEWS
CRAN checks:	fastLISA results

Documentation:

Reference manual:	fastLISA.html , fastLISA.pdf
Vignettes:	Computing LISA statistics with fastLISA (source, R code)

Downloads:

Package source:	fastLISA_1.0.1.tar.gz
Windows binaries:	r-devel: fastLISA_1.0.1.zip, r-release: fastLISA_1.0.1.zip, r-oldrel: fastLISA_1.0.1.zip
macOS binaries:	r-release (arm64): fastLISA_1.0.1.tgz, r-oldrel (arm64): fastLISA_1.0.1.tgz, r-release (x86_64): fastLISA_1.0.1.tgz, r-oldrel (x86_64): fastLISA_1.0.1.tgz
Old sources:	fastLISA archive

Reverse dependencies:

Reverse imports:

blisa

Linking:

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