Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example
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Updated
Mar 14, 2025 - R
Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example
Automatic gemorphological classification based on Digital Geomorphological Maps of Poland
High-resolution geomorphological clustering of Poland
Torrential flow susceptibility modeling in Colombia
Dynamic landslide prediction using hourly precipitation time series as a functional predictor
Creates Swath profiles and Distance vs X plots by measuring the accurate distances parallel and perpendicular to user-defined lines
Supporting code for Johnston et al. "Quantifying the effect of precipitation on landslide hazard in urbanized and non-urbanized areas" published in Geophysical Research Letters
Through collaboration with the College of Charleston and the USDA Forest Service Southern Research Station a soils technical report was created using SQL for data mining and graphs generated in R.
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