Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example
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Updated
May 3, 2023 - R
Modeling the size of co-seismic landslides via data-driven models: the Kaikōura's example
High-resolution geomorphological clustering of Poland
Torrential flow susceptibility modeling in Colombia
Automatic gemorphological classification based on Digital Geomorphological Maps of Poland
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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