Fast Local Indicators of Spatial Association (LISA)
Overview
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.
- Vignette: corrected the "Reproducibility" note, which incorrectly stated that multi-core permutation results "may differ between runs". Permutation inference is thread-invariant: because the RNG is re-seeded per observation from
iseedand the observation index alone, the pseudo-p-values and z-scores are bit-for-bit identical for anyn.coresand under any OpenMP schedule.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK10 OK2026-07-08
- ERROR6 OK, 1 ERROR2026-07-07
Documentation
- Help pages
- 8 (1 internal)includes a package overview page
- Examples that run
- 100%7 run in a plain check (7 of them under a condition)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 88%
Downloads
Repository
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Dependencies
Installing fastLISA adds no packages beyond those that come with R.
Code & Tests
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- 1.0.1Latest
- 1.0.02026-07-06
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-06
- Total releases
- 2 / 1 yrs
- License
- GPL-3 OSI
- Download size
- 148 KB
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