SurfRough: Calculate Surface/Image Texture Indexes

Methods for the computation of surface/image texture indices using a geostatistical based approach (Trevisani et al. (2023) <doi:10.1016/j.geomorph.2023.108838>). 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. 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.

Version:	0.0.1.0
Depends:	R (≥ 3.5.0), terra
Suggests:	tinytest
Published:	2024-08-30
DOI:	10.32614/CRAN.package.SurfRough
Author:	Sebastiano Trevisani [aut, cre], Ilich Alexander [ctb]
Maintainer:	Sebastiano Trevisani <strevisani at iuav.it>
BugReports:	https://github.com/strevisani/SurfRough/issues
License:	MIT + file LICENSE
URL:	https://github.com/strevisani/SurfRough, https://doi.org/10.5281/zenodo.7132160
NeedsCompilation:	no
Materials:	README
CRAN checks:	SurfRough results

Documentation:

Reference manual:

SurfRough.pdf

Downloads:

Package source:	SurfRough_0.0.1.0.tar.gz
Windows binaries:	r-devel: SurfRough_0.0.1.0.zip, r-release: SurfRough_0.0.1.0.zip, r-oldrel: SurfRough_0.0.1.0.zip
macOS binaries:	r-release (arm64): SurfRough_0.0.1.0.tgz, r-oldrel (arm64): SurfRough_0.0.1.0.tgz, r-release (x86_64): SurfRough_0.0.1.0.tgz, r-oldrel (x86_64): SurfRough_0.0.1.0.tgz

Linking:

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