Zongyi He
Biographic Data
| ID | 6279573 |
|---|---|
| NAME | Zongyi He |
| GIVEN NAMES | Zongyi |
| FAMILY NAME | He |
| SIGNATURE | HE Z |
| AFFILIATIONS | Wuhan University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network
Natural disasters occur frequently causing huge economic losses and reduced grain production. Therefore, it is important to thoroughly explore the spatial correlations between grain, disaster, and the economy. Based on inter-provincial panel data in China in 2019, this study integrates complex network and co-occurrence theory into a coupled grain–disaster–economy (GDE) multilayer network, which provides a new perspective to further explore the sp…
Space-Time Variation and Spatial Differentiation of Covid-19 Confirmed Cases in Hubei Province Based on Extended GWR
Clarifying the regional transmission mechanism of COVID-19 has practical significance for effective protection. Taking 103 county-level regions of Hubei Province as an example, and taking the fastest-spreading stage of COVID-19, which lasted from 29 January 2020, to 29 February 2020, as the research period, we systematically analyzed the population migration, spatio-temporal variation pattern of COVID-19, with emphasis on the spatio-temporal diff…
Tracking spatio-temporal variation of geo-tagged topics with social media in China
Origin, spatial pattern, and evolution of urban system
Origin, spatial pattern, and evolution of urban system
Space-Time Variation and Spatial Differentiation of Covid-19 Confirmed Cases in Hubei Province Based on Extended GWR
Clarifying the regional transmission mechanism of COVID-19 has practical significance for effective protection. Taking 103 county-level regions of Hubei Province as an example, and taking the fastest-spreading stage of COVID-19, which lasted from 29 January 2020, to 29 February 2020, as the research period, we systematically analyzed the population migration, spatio-temporal variation pattern of COVID-19, with emphasis on the spatio-temporal diff…
Tracking spatio-temporal variation of geo-tagged topics with social media in China
New Insight into the Coupled Grain–Disaster–Economy System Based on a Multilayer Network
Natural disasters occur frequently causing huge economic losses and reduced grain production. Therefore, it is important to thoroughly explore the spatial correlations between grain, disaster, and the economy. Based on inter-provincial panel data in China in 2019, this study integrates complex network and co-occurrence theory into a coupled grain–disaster–economy (GDE) multilayer network, which provides a new perspective to further explore the sp…
Geography (4 works) · Computer Science (3 works) · Economic geography (3 works) · Biology (2 works) · Cartography (2 works) · China (2 works) · COVID-19 epidemiological studies (2 works) · Ecology (2 works) · Meteorology (2 works) · Natural disaster (2 works)