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README.md
In SurfRough: Calculate Surface/Image Texture Indexes
README
Sebastiano Trevisani
July 29, 2024
SurfRough
Algorithms for surface texture (roughness) and image texture analysis
using a geostatistical based approach from https://doi.org/10.1016/j.catena.2023.106927
Installation
Update 6 Sept. 2024
The package has been published in Cran repository: https://cran.r-project.org/package=SurfRough
So you can install it with the usual R method (install.packages())
To install this package first install the remotes package if you do
not have it using the code install.packages("remotes"). Then this
package can be installed from github using the code
remotes::install_github("strevisani/SurfRough"). This will install
SurfRough and its dependencies such as terra which is used for the
handling of spatial raster data.
Try the SurfRough package in your browser
Any scripts or data that you put into this service are public.
SurfRough documentation built on April 4, 2025, 2:19 a.m.
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README
Sebastiano Trevisani
July 29, 2024
SurfRough
Algorithms for surface texture (roughness) and image texture analysis using a geostatistical based approach from https://doi.org/10.1016/j.catena.2023.106927
Installation
Update 6 Sept. 2024 The package has been published in Cran repository: https://cran.r-project.org/package=SurfRough So you can install it with the usual R method (install.packages())
To install this package first install the remotes package if you do
not have it using the code install.packages("remotes"). Then this
package can be installed from github using the code
remotes::install_github("strevisani/SurfRough"). This will install
SurfRough and its dependencies such as terra which is used for the
handling of spatial raster data.
Try the SurfRough package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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