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For\neach input covariate the method builds spatial-pattern features\n(local indicator of spatial association, local Geary's c, log\nlocal variance, rank quantile entropy, geocomplexity, log scale\nvariance, local variogram exponent, and signed z-score and\nmedian absolute deviation outlier strengths over a series of\nbuffer radii) and neighbourhood-distribution features\n(buffer-wise quantiles of the covariate values surrounding each\nlocation), reduces the buffer and quantile sweeps to a compact\nset of interpretable functional summaries, and selects\nvariables by random forest importance combined with\nspatial-block stability resampling and group voting. The GCF\nmethod is positioned as prediction-oriented feature\nconstruction: its output feeds any downstream regression\nlearner. Methods are described in Song (2026)\n.", "License": "GPL-3", "Encoding": "UTF-8", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "LazyData": "true", "LazyDataCompression": "xz", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-01 00:15:22 UTC", "User": "root" }, "Author": "Yongze Song [aut, cre, cph] (ORCID:\n)", "Maintainer": "Yongze Song ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-30 23:59:34 UTC", "RemoteUrl": "https://github.com/cran/gcf", "RemoteRef": "HEAD", "RemoteSha": "a5a96740608765b1e7ed1bd716e21c620ba38fba", "_user": "cran", "_type": "src", "_file": "gcf_0.1.1.tar.gz", "_fileid": "https://r2.ropensci.org/f3f9b11da0a4a9817d3b0ba563a2d870e3349aa25d0dbde3414a48de1b36ef8d", "_filesize": 478244, "_sha256": "f3f9b11da0a4a9817d3b0ba563a2d870e3349aa25d0dbde3414a48de1b36ef8d", "_expires": "2027-01-09T00:19:17.000Z", "_created": "2026-10-01T00:15:22.000Z", "_published": 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