Spatiotemporal Evolution Patterns of the COVID-19 Pandemic Using Space-Time Aggregation and Spatial Statistics: A Global Perspective
Unlike previous regionalized studies on a worldwide crisis, this study aims to analyze spatial distribution patterns and evolution characteristics of the COVID-19 pandemic, using space-time aggregation and spatial statistics from a global perspective. Hence, various spatial statistical methods, such...
Main Author: | Zechun Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/10/8/519 |
Similar Items
-
Spatiotemporal Pattern and Aggregation Effects of Poplar Canker in Northeast China
by: He Yan, et al.
Published: (2020-04-01) -
Spatiotemporal evolution of global population ageing from 1960 to 2017
by: Junming Li, et al.
Published: (2019-01-01) -
Spatiotemporal Data Mining: A Computational Perspective
by: Shashi Shekhar, et al.
Published: (2015-10-01) -
Internal Coordinated Development of China’s Urbanization and Its Spatiotemporal Evolution
by: Liangzhen Zang, et al.
Published: (2019-01-01) -
Quantification of Regional Ozone Pollution Characteristics and Its Temporal Evolution: Insights from Identification of the Impacts of Meteorological Conditions and Emissions
by: Leifeng Yang, et al.
Published: (2021-02-01)