High-Performance Open-Source Archive
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 |
| Reference manual: | fastLISA.html , fastLISA.pdf |
| Vignettes: |
Computing LISA statistics with fastLISA (source, R code) |
| 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 imports: | blisa |
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