‘SSNbler’ imports, creates and assembles data needed to fit spatial-statistical stream-network models using the SSN2 R package. Streams, observations, and prediction locations are represented as simple features and specific tools have been provided to define topological relationships between features; calculate the hydrologic distances (with flow-direction preserved) and the spatial additive function used to weight converging stream segments; and export the topological, spatial, and attribute information to an SSN object, which can be efficiently stored, accessed and analysed in R.
Learn more about ‘SSNbler’ on our website.
# install the most recent approved version from CRAN
install.packages("SSNbler")
# load the most recent approved version from CRAN
library(SSNbler)Install and load the most recent version of’SSNbler’ from GitHub by running
# Installing from GitHub requires you first install the remotes package
install.packages("remotes")
# install the most recent version from GitHub
remotes::install_github("pet221/SSNbler", ref = "main")
# load the most recent development version from GitHub
library(SSNbler)If you use ‘SSNbler’ in a formal publication or report, please cite it. Citing ‘SSNbler’ lets us devote more resources to it in the future. View the ‘SSNbler’ citation by running
citation(package = "SSNbler")#>
#> To cite SSNbler in publications use:
#>
#> Peterson E. E., Dumelle, M., Pearse A., Teleki D., and Ver Hoef, J. M.
#> (2024). SSNbler: Assemble SSN objects in R. R package version 0.1.0
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {{SSNbler}: Assemble SSN objects in {R}},
#> author = {Erin Peterson and Michael Dumelle and Alan Pearse and Dan Teleki and Jay M. {Ver Hoef}},
#> year = {2024},
#> note = {{R} package version 0.1.0},
#> }Please see our introductory vignette for a brief example showing how to use ‘SSNbler’.
This project is licensed under the GNU General Public License, GPL-3.