{ "_id": "6a1ed933b401979e7340f2c5", "Package": "DRHotNet", "Title": "Differential Risk Hotspots in a Linear Network", "Version": "2.3", "Author": "Alvaro Briz-Redon", "Maintainer": "Alvaro Briz-Redon ", "Description": "Performs the identification of differential risk hotspots\n(Briz-Redon et al. 2019) along\na linear network. Given a marked point pattern lying on the\nlinear network, the method implemented uses a\nnetwork-constrained version of kernel density estimation\n(McSwiggan et al. 2017) to approximate\nthe probability of occurrence across space for the type of\nevent specified by the user through the marks of the pattern\n(Kelsall and Diggle 1995) . The goal is to\ndetect microzones of the linear network where the type of event\nindicated by the user is overrepresented.", "License": "GPL-2", "LazyData": "true", "RoxygenNote": "7.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 09:29:44 UTC", "User": "root" }, "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://albrizre.r-universe.dev", "Date/Publication": "2023-07-16 22:32:32 UTC", "RemoteUrl": "https://github.com/cran/DRHotNet", "RemoteRef": "HEAD", "RemoteSha": "75fc062c3b1ca373fd7911673ddfb644a41b1e12", "MD5sum": "c40dc8ee4b4f1a6ee7bbd0c1167ded67", "_user": "albrizre", "_type": "src", "_file": "DRHotNet_2.3.tar.gz", "_fileid": "79f38ccffe4f50325cefccc1ff380a7217f249d373f9e732d8e461618daaab71", "_filesize": 442945, "_sha256": "79f38ccffe4f50325cefccc1ff380a7217f249d373f9e732d8e461618daaab71", "_created": "2026-05-20T09:29:44.000Z", "_published": 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