<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Fast Local Indicators of Spatial Association (LISA)</dc:title>
  <dc:title>R package fastLISA version 1.0.1</dc:title>
  <dc:description>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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: spdep</dc:relation>
  <dc:creator>Lizhong Chen &lt;chen.l@wehi.edu.au&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lizhong Chen [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-07-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=fastLISA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.fastLISA</dc:identifier>
</oai_dc:dc>
