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"), comment = c(ORCID = "0000-0001-8436-7798")), person("Ilich", "Alexander", role = "ctb", comment = c(ORCID = "0000-0003-1758-8499")), person("Zakharko", "Taras", role = "ctb", comment = c(ORCID = "0000-0001-7601-8424"))) Description: Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) and Trevisani and Guth (2025) ). It provides various functions for the computation of surface texture indices (e.g., omnidirectional roughness and roughness anisotropy), including the ones based on the robust MAD estimator. The kernels included in the software permit also to calculate the surface/image texture indices directly from the input surface (i.e., without de-trending) using increments of order 2 and of order 4. It also provides the new radial roughness index (RRI), representing the improvement of the popular topographic roughness index (TRI). The framework can be easily extended with 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 Depends: R (>= 3.5.0), terra Suggests: tinytest URL: https://github.com/strevisani/SurfRough, https://doi.org/10.5281/zenodo.7132160 NeedsCompilation: yes Packaged: 2026-10-10 16:26:23 UTC; root Maintainer: Sebastiano Trevisani LinkingTo: Rcpp Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev libsqlite3-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: ), Ilich Alexander [ctb] (ORCID: ), Zakharko Taras [ctb] (ORCID: )