{ "_id": "6a16a027acfb0bcc41d80aca", "Package": "SurfRough", "Title": "Calculate Surface/Image Texture Indexes", "Version": "0.0.1.2", "Authors@R": "c(person(\"Sebastiano\", \"Trevisani\", email=\"strevisani@iuav.it\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8436-7798\")),\nperson(\"Ilich\", \"Alexander\", role = \"ctb\", comment = c(ORCID = \"0000-0003-1758-8499\")),\nperson(\"Zakharko\", \"Taras\", role = \"ctb\", comment = c(ORCID = \"0000-0001-7601-8424\")))", "Description": "Methods for the computation of surface/image texture\nindices using a geostatistical based approach (Trevisani et al.\n(2023) and Trevisani and\nGuth (2025) ). It provides various\nfunctions for the computation of surface texture indices (e.g.,\nomnidirectional roughness and roughness anisotropy), including\nthe ones based on the robust MAD estimator. The kernels\nincluded in the software permit also to calculate the\nsurface/image texture indices directly from the input surface\n(i.e., without de-trending) using increments of order 2 and of\norder 4. It also provides the new radial roughness index (RRI),\nrepresenting the improvement of the popular topographic\nroughness index (TRI). The framework can be easily extended\nwith ad-hoc surface/image texture indices.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "BugReports": "https://github.com/strevisani/SurfRough/issues", "LazyData": "true", "URL": "https://github.com/strevisani/SurfRough,\nhttps://doi.org/10.5281/zenodo.7132160", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-27 07:32:24 UTC", "User": "root" }, "Maintainer": "Sebastiano Trevisani ", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libproj-dev\nlibsqlite3-dev", "Repository": "https://strevisani.r-universe.dev", "Date/Publication": "2026-01-27 09:24:07 UTC", "RemoteUrl": "https://github.com/strevisani/surfrough", "RemoteRef": "HEAD", "RemoteSha": "3bb7dbcffc79a342c55f5d1a9c05bda50022d6a7", "Author": "Sebastiano Trevisani [aut, cre] (ORCID:\n),\nIlich Alexander [ctb] (ORCID: ),\nZakharko Taras [ctb] (ORCID: )", "MD5sum": "29b330414ce4466e29ce3df585d9fec4", "_user": 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