Multifractal scaling analyses of the spatial diffusion pattern of COVID-19 pandemic in Chinese mainland
Abstract Revealing spatio-temporal evolution regularity in the spatial diffusion of epidemics is helpful for preventing and controlling the spread of epidemics. Based on the real-time COVID-19 datasets by prefecture-level cities, this paper is devoted to exploring the multifractal scaling in spatial...
Main Authors: | Yuqing Long, Yanguang Chen, Yajing Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2023-10-01
|
Series: | Humanities & Social Sciences Communications |
Online Access: | https://doi.org/10.1057/s41599-023-02130-x |
Similar Items
-
Multifractal detrended fluctuation analysis in examining scaling properties of the spatial patterns of soil water storage
by: A. Biswas, et al.
Published: (2012-03-01) -
Analysing Trends in the Spatial-Temporal Visitation Patterns of Mainland Chinese Tourists in Sabah, Malaysia based on Weibo Social Big Data
by: Rayner Alfred, et al.
Published: (2023) -
Spatial Signal Analysis Based on Wave-Spectral Fractal Scaling: A Case of Urban Street Networks
by: Yanguang Chen, et al.
Published: (2020-12-01) -
Characterizing the Spatio-Temporal Variations of Urban Growth with Multifractal Spectra
by: Meng Fu, et al.
Published: (2023-07-01) -
Differential attitudes and outcomes of endodontics education between mainland and non-mainland chinese students during COVID-19 pandemic
by: Ting Zhong, et al.
Published: (2023-04-01)