Skip to content

This repository contains the script and data used to train and validate a machine learning algorithm to estimate the landslide runout distance, based on geometrical approximations.

License

MIT, CC0-1.0 licenses found

Licenses found

MIT
LICENSE-CODE
CC0-1.0
LICENSE-DATA
Notifications You must be signed in to change notification settings

dromanq/Landslide-Runout-Distance---Machine-Learning

Repository files navigation

Landslide-Runout---Machine-Learning

This repository contains the script and data used to train and validate a machine learning algorithm to estimate the landslide runout distance, based on geometrical approximations. The repository contains three main files:

  1. The observed landslide dataset recording all the necessary variables;
  2. The code (in R) to train and validate the Random Forest model with the observed data, using the ranger algoritm
  3. The calibrated and validated Random Forest model

About

This repository contains the script and data used to train and validate a machine learning algorithm to estimate the landslide runout distance, based on geometrical approximations.

Resources

License

MIT, CC0-1.0 licenses found

Licenses found

MIT
LICENSE-CODE
CC0-1.0
LICENSE-DATA

Stars

Watchers

Forks

Packages

No packages published

Languages