{"name": "G-CHAM SVI and LISA", "package_name": "svi_lisa_qgis", "description": "Calculate a percentile-based Social Vulnerability Index (SVI) and perform local Moran's I (LISA) analysis with ESS adjusted Benjamini-Hochberg correction for polygon layers.", "about": "Calculate a percentile-based Social Vulnerability Index (SVI) and perform local Moran's I (LISA) analysis using k-nearest neighbors. ESS adjusted Benjamini-Hochberg correction is selected by default; standard Benjamini-Hochberg and unadjusted p-values are also available. Export results as GeoPackage layers and spreadsheet-compatible CSV summaries, including APLE, effective sample size, correction method, and counts for all six LISA categories. Supports up to 20,000 valid features and requires a projected coordinate reference system for LISA analysis.", "homepage": "https://github.com/GISPHN/G-CHAM_SVI_LISA#readme", "repository": "https://github.com/GISPHN/G-CHAM_SVI_LISA", "tracker": "https://github.com/GISPHN/G-CHAM_SVI_LISA/issues", "author": "GISPHN (Ryo Horiike)", "tags": ["svi", "lisa", "local moran", "spatial analysis", "vulnerability"], "downloads": 9, "latest_version": "0.1.8", "versions": [{"version": "0.1.8", "experimental": true, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 9, "uploaded_by": "gisphn", "upload_datetime": "2026-11-10T02:18:20.112898"}]}