一种用于生长和扩散的稳定有限差分方案
A stable finite-difference scheme for growth and diffusion on a map
AI总结:
本文提出一种Godunov型分裂方法,用于模拟二维生长和扩散方程,适用于人口增长和扩散建模,方法半隐式且稳定,具有二次精度,内存需求低,应用于晚更新世人类扩散模拟。
摘要:
我们描述了一种通用的Godunov型分裂方法,用于数值模拟二维Fisher/Kolmogorov-Petrovski-Piskunov生长和扩散方程。该方法特别适用于模拟陆地地图上的种群增长和扩散。该过程是半隐式的,因此相当稳定,且近似二次准确,排除边界条件的复杂性。它还有低内存需求并表现出良好的性能。我们展示了该求解器的应用:通过在古植被和古气候地理地图上进行生长和扩散来模拟晚更新世的人类扩散。
英文摘要:
We describe a general Godunov type splitting for numerical simulations of the Fisher/Kolmogorov-Petrovski-Piskunov growth and diffusion equation in two spatial dimensions. In particular, the method is appropriate for modeling population growth and dispersal on a terrestrial map. The procedure is semi-implicit, hence quite stable, and approximately second order accurate, excluding boundary condition complications. It also has low memory requirements and shows good performance. We illustrate an application of this solver: global human dispersal in the late Pleistocene, modeled via growth and diffusion over geographical maps of paleovegetation and paleoclimate.
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