SSN2
usepa.github.io
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What the maker publishes
- Data handling
- SSN2 imports stream edges, observed sites, and optional prediction sites from a non-proprietary .ssn folder. source
- Dependencies
- SSN2 imports sf for spatial data handling and spmodel for modeling functions, among other R packages. source
- Diagnostics
- Available functions include model augmentation, influence diagnostics, leave-one-out cross-validation, and fitted-model diagnostic plots. source
- Installation
- The site documents installation from CRAN and GitHub. source
- Intended use
- The package is designed for users fitting spatial stream network models to stream data, such as modeling stream phenomena and predicting values across a network. source
- License
- The project is licensed under the GNU General Public License, GPL-3. source
- Mapping
- The package includes mapping and other graphical functions, and its introduction uses ggplot2 and sf for visualizations. source
- Modeling
- It fits spatial linear models, including explanatory variables, using restricted or unrestricted maximum likelihood. source
- Model types
- It supports linear and generalized linear spatial stream network models. source
- Predictions
- The package fits and summarizes spatial stream network models and predicts at unobserved locations (Kriging). source
- Preprocessing
- The documentation recommends the SSNbler R package to prepare input data for SSN2. source
- Purpose
- SSN2 is an R package for spatial statistical modeling and prediction on stream networks, including models based on in-stream distance. source
- Spatial components
- Its models can include tail-up, tail-down, Euclidean, and spatially independent nugget error components. source
- Support
- Users can get help by opening a GitHub issue, emailing the SSN support team, or posting on Stack Overflow or Cross Validated. source
Checked against the maker's pages on 5 Oct 2026.