<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>nausello.r-universe.dev</title><link>https://nausello.r-universe.dev</link><description>Recent package updates in nausello</description><generator>R-universe</generator><image><url>https://github.com/nausello.png</url><title>R packages by nausello</title><link>https://nausello.r-universe.dev</link></image><lastBuildDate>Mon, 11 May 2026 21:46:19 GMT</lastBuildDate><item><title>[cran] spatialRegroup 0.1.0</title><author>nicolasausello@yahoo.fr (Nicolas Ausello)</author><description>Evaluates the statistical coherence of existing
administrative partitions (e.g. inter-municipal groupings,
districts) by identifying spatial units whose attributive
profile is more similar to a neighbouring group than to their
own. Border units are iteratively reassigned to the group they
are most affine with, based on Euclidean or Mahalanobis
distance computed on user-supplied numeric variables, with
optional per-variable weighting and standardisation. Spatial
contiguity is enforced throughout: isolated candidates are
reintegrated into their original group, disconnected fragments
are resolved, and empty groups are restored. Convergence is
monitored via an eta-squared cohesion criterion. The resulting
partition can be compared to the original administrative
delineation using multilevel models, providing a quantitative
measure of boundary inefficiency.</description><link>https://github.com/r-universe/cran/actions/runs/25700203607</link><pubDate>Mon, 11 May 2026 21:46:19 GMT</pubDate><r:package>spatialRegroup</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/spatialRegroup</r:upstream></item><item><title>[nausello] spatialRegroup 0.1.0</title><author>nicolasausello@yahoo.fr (Nicolas Ausello)</author><description>Evaluates the statistical coherence of existing
administrative partitions (e.g. inter-municipal groupings,
districts) by identifying spatial units whose attributive
profile is more similar to a neighbouring group than to their
own. Border units are iteratively reassigned to the group they
are most affine with, based on Euclidean or Mahalanobis
distance computed on user-supplied numeric variables, with
optional per-variable weighting and standardisation. Spatial
contiguity is enforced throughout: isolated candidates are
reintegrated into their original group, disconnected fragments
are resolved, and empty groups are restored. Convergence is
monitored via an eta-squared cohesion criterion. The resulting
partition can be compared to the original administrative
delineation using multilevel models, providing a quantitative
measure of boundary inefficiency.</description><link>https://github.com/r-universe/nausello/actions/runs/25718740758</link><pubDate>Mon, 11 May 2026 21:46:19 GMT</pubDate><r:package>spatialRegroup</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://nausello.r-universe.dev</r:repository><r:upstream>https://github.com/cran/spatialRegroup</r:upstream></item></channel></rss>