Background The coronavirus disease 2019 (COVID-19) epidemic, considered as the worst
global public health event in nearly a century, has severely affected more than 200 countries …

The purpose of this study is to investigate whether the relationship between meteorological
factors (ie, daily maximum temperature, minimum temperature, average temperature …

Background The continuous mutation of severe acute respiratory syndrome coronavirus 2
has made the coronavirus disease 2019 (COVID-19) pandemic complicated to predict and …

地理大数据是地理对象所产生的“足迹数据”, 而地理大数据挖掘就是通过反演分析地理对象的“
足迹数据”, 揭示其中蕴含的人地关系及其时空模式. 近年关于地理大数据的重大研究进展显示 …

The outbreak of COVID-19 (coronavirus disease 2019) has become the focus of attention in
the field of urban geography. Built environment, such as the layout of public spaces like …

Based on the epidemic data of COVID-19 in 50 states of the United States (the US) from
December 2021 to January 2022, the spatial and temporal clustering characteristics of …

Coronavirus disease 2019 (COVID-19) has become a major public health concern
worldwide. In this study, we aimed to analyze spatial clusters of the COVID-19 epidemic and …

The outbreak of the Coronavirus Disease 2019 (COVID-19) has profoundly influenced daily
life, necessitating the understanding of the relationship between the epidemic's progression …

Simple Summary In recent years, the damage inflicted upon vegetation by the fall webworm
(FWW), Hyphantria cunea (Drury)(Lepidoptera: Erebidae: Arctiidae), has escalated globally …

Machine learning (ML) is an innovative method that is widely used in data prediction.
Predicting the COVID-19 distribution using ML is essential for urban security risk …