simlandr: Simulation-Based Landscape Construction for Dynamical Systems

Jingmeng Cui, Merlijn Olthof, Anna Lichtwarck-Aschoff, Tiejun Li, Fred Hasselman

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Abstract

We present the simlandr package for R, which provides a set of tools for constructing potential landscapes for dynamic systems using Monte Carlo simulation. Potential landscapes can be used to quantify the stability of system states. While the canonical form of a potential function is defined for gradient systems, generalized potential functions can also be defined for non-gradient dynamical systems. Our method is based on the potential landscape definition by Wang, Xu, and Wang (2008), and can be used for a large variety of models. Using two multistable dynamical systems as examples, we illustrate how simlandr can be used for model simulation, landscape construction, and barrier height calculation.
Original languageEnglish
JournalPsyArXiv Preprints
DOIs
Publication statusSubmitted - 9-Dec-2021

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