Linking the Pattern Structures to System Robustness Based on Dynamical Models and Statistical Method

Gui Quan Sun, Yizhi Pang, Li Li, Chen Liu, Yongping Wu, Guolin Feng, Zhen Jin, Bai Lian Li, Zhen Wang

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3 引用 (Scopus)

摘要

Pattern structures are usually used to describe the spatial and temporal distribution characteristics of individuals. However, the corresponding relationship between the pattern structure and system robustness is not well understood. In this work, we use geostatistical method–semivariogram to study system robustness for different pattern structures based on three dynamical models in different fields. The results show that the structural ratio of different pattern structures including the mixed state of spot and stripe, cold spot, stripe only, and hot spot are more than 75%, which indicated those patterns all have strong spatial dependence and heterogeneity. It was revealed that the systems corresponding to the mixed state of spot and stripe or cold spot are more robust. This article proposed a method to characterize the robustness of the system corresponding to the pattern structure and also provided a feasible approach for the study of “how structures determine their functions.”

源语言英语
文章编号827929
期刊Frontiers in Physics
10
DOI
出版状态已出版 - 4 2月 2022

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