runoutSIM

The runoutSIM R package is developed for regional-scale runout simulations using random walks. It currently can be used to estimate the spatial extent, velocity (via Perla et al’s two-parameter friction model), and connectivity of: * Debris flows * Snow avalanches

Features * Random walk simulation with slope-based transition probabilities * Velocity modeling using Perla et al.’s (1980) friction law * Connectivity analysis to assess impact on downslope features * Allows easy workflow for source area prediction models (e.g., GAM, machine learning) * Interactive mapping with leaflet and htmlwidgets * Optimized for parallel processing support for large-scale simulations * Integrated into runoptGPP for grid search parameter optimization

Installation

You can install runoutSIM with:

devtools::install_github("jngtz/runoutSIM")

or

remotes::install_github("jngtz/runoutSIM")

Examples

A basic introduction to runoutSIM

Parallel computing with runoutSIM

Optimizing runoutSIM parameters with runoptGPP

Contributing

We welcome contributions! Please open an issue or submit a pull request. For major changes, start by discussing your ideas via an issue.

Citation

If you use runoutSIM in your research, please cite:

Goetz, J. (2025). runoutSIM: An open-source R package for simulating mass movement runout and connectivity using random walks. GitHub Repository