LAND-SE: a software for landslide statistically-based susceptibility zonation, Version 1.0

Landslide susceptibility (LS) provides an estimate of the landslide spatial occurrence based on local terrain conditions. LS has been evaluated in many locations around the world since the early '80 using distinct modelling approaches, diverse combination of variables, and different partition of the territory (mapping units). Among the different methods, statistical models have been largely used to assess LS and several model types have been proposed in the literature. A recent literature review revealed that authors not always present a complete and comprehensive assessment of the LS that includes model performance analysis, prediction skills evaluation and estimation of the errors and uncertainty. The aim of this paper is to describe LAND-SE (LANDslide Susceptibility Evaluation), software that performs susceptibility modelling and zonation using statistical models, quantifies the model performances and the associated uncertainty. The software is implemented in R, a free software environment for statistical computing and graphics. This provides users with the possibility to implement and improve the code with additional models, evaluations tools or output types. The paper describes the software structure, explains input and output, illustrates specific applications with maps and graphs. The LAND-SE script is delivered with a basic user guide and three example datasets.