{ "_id": "6a1407c2acfb0bcc41d39b22", "Package": "sfhotspot", "Title": "Hot-Spot Analysis with Simple Features", "Version": "1.0.0", "Authors@R": "person(\"Matt\", \"Ashby\", , \"matthew.ashby@ucl.ac.uk\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-4201-9239\"))", "Description": "Identify and understand clusters of points (typically\nrepresenting the locations of places or events) stored in\nsimple-features (SF) objects. This is useful for analysing, for\nexample, hot-spots of crime events. The package emphasises\nproducing results from point SF data in a single step using\nreasonable default values for all other arguments, to aid rapid\ndata analysis by users who are starting out. Functions\navailable include kernel density estimation (for details, see\nYip (2020) ), analysis of\nspatial association (Getis and Ord (1992)\n) and hot-spot\nclassification (Chainey (2020) ISBN:158948584X).", "License": "MIT + file LICENSE", "Language": "en-GB", "URL": "http://pkgs.lesscrime.info/sfhotspot/", "BugReports": "https://github.com/mpjashby/sfhotspot/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "LazyData": "true", "Config/testthat/edition": "3", "VignetteBuilder": "quarto", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://mpjashby.r-universe.dev", "Date/Publication": "2025-07-29 11:51:37 UTC", "RemoteUrl": "https://github.com/mpjashby/sfhotspot", "RemoteRef": "HEAD", "RemoteSha": "6b3caf7d27690a15072cf5d77d2fbd6f33185808", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 08:21:42 UTC", "User": "root" }, "Author": 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