DESCRIPTION

r.randomwalk is a flexible and multi-functional conceptual tool for backward- and forward-analyses of mass movement motion. Mass points are routed from defined release pixels of one to many mass movements through a digital elevation model until a defined break criterion is reached. Lateral spreading is ensured by a random walk approach. Compared to existing tools, the major innovative features of r.randomwalk are:

• multiple break criteria can be combined to compute an impact indicator score;
• the uncertainties of break criteria can be included by performing multiple parallel computations with randomized or controlled parameter variation, resulting in an impact indicator index in the range 0-1;
• the results can be validated against observations;
• observed landslides can be back-analyzed to derive the density distribution of the observed angles of reach. This distribution can be employed to compute impact probabilities for each pixel.

Further, Impact indicator scores and probabilities can be combined with release indicator scores or probabilities.

SEE ALSO

Please visit the r.randomwalk web site for further information and a detailed manual: randomwalk.org

AUTHORS

Author: Martin Mergili, University of Graz, Austria

The support of Massimiliano Alvioli, Julia Krenn, Ivan Marchesini, and Markus Neteler is acknowledged.

Funding: 2014-2017 German Research Foundation DFG and Austrian Research Fund FWF

© 2013-2021 The author, © 2020-2021 University of Graz, Austria, © 2013-2021 The BOKU University, Vienna, © 2015-2020 The University of Vienna, © 2000-2021 The GRASS Development Team and © 1993-2021 The R Development Core Team