https://github.com/ailich/surfrough
Algorithms for surface texture (roughness) and image texture analysis using a geostatistical based approach
Science Score: 13.0%
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Found 2 DOI reference(s) in README -
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Low similarity (6.0%) to scientific vocabulary
Last synced: 9 months ago
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Repository
Algorithms for surface texture (roughness) and image texture analysis using a geostatistical based approach
Basic Info
- Host: GitHub
- Owner: ailich
- License: other
- Language: R
- Default Branch: main
- Size: 86.9 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of strevisani/SurfRough
Created almost 2 years ago
· Last pushed almost 2 years ago
https://github.com/ailich/SurfRough/blob/main/
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.
Owner
- Name: Alex
- Login: ailich
- Kind: user
- Repositories: 5
- Profile: https://github.com/ailich