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: |
1.0.0 |
| Imports: |
stats |
| Suggests: |
spdep |
| Published: |
2026-07-06 |
| DOI: |
10.32614/CRAN.package.fastLISA (may not be active yet) |
| Author: |
Lizhong Chen [aut, cre] |
| Maintainer: |
Lizhong Chen <chen.l at wehi.edu.au> |
| License: |
GPL-3 |
| Copyright: |
see file COPYRIGHTS |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C99, optional OpenMP |
| Materials: |
README, NEWS |
| CRAN checks: |
fastLISA results [issues need fixing before 2026-07-20] |
Documentation:
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