Landlab is a Python-based modeling environment that allows scientists and students to build numerical landscape models. Designed for disciplines that quantify earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy, it can also be used in related fields. Landlab provides components to compute flows (such as water, sediment, glacial ice, volcanic material, or landslide debris) across a gridded terrain. With its robust, reusable components, Landlab allows scientists to quickly build landscape model experiments and compute mass balance across scales. Landlab is described in more detail by Hobley et al. in the 2017 paper Creative Computing with Landlab.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Nathan J. Lyons; James S. Albert; Nicole M. Gasparini: SpeciesEvolver: A Landlab component to evolve life in simulated landscapes (2020) not zbMATH
- Katherine R. Barnhart, Eric Hutton, Gregory E. Tucker: umami: A Python package for Earth surface dynamics objective function construction (2019) not zbMATH
- Robert Sare; George E. Hilley: Scarplet: A Python package for topographic template matching and diffusion dating (2018) not zbMATH