| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Nov―21 |
Analyzing Key Factors Influencing Human Mobility Before and During COVID-19 With Explainable Machine Learning |
Pingping Wang, Yihong Yuan |
| 2 |
[GO] |
2024―Aug―17 |
Land Surface Temperature Dynamics during COVID-19 Lockdown in Diverse Climatic and Physiographic Zones-A Study of Indian Mega Cities |
Ashish Mishra, Dhyan S. Arya |
| 3 |
[GO] |
2023―Jul―12 |
Complex adaptive blended learning for higher GIS education: A theory-driven pedagogy moving forward after the pandemic |
Yingwei Yan, Chen-Chieh Feng, Lewis Kwek Boon Leong |
| 4 |
[GO] |
2022―Dez―27 |
Revealing the spatiotemporal characteristics of the general public's panic levels during the pandemic crisis in China |
Yuanyi Chen, Yi Liu, Yingwei Yan |
| 5 |
[GO] |
2022―Aug―23 |
University students' perspectives on emergency online
GIS
learning amid the Covid-19 pandemic |
Yingwei Yan, Fangyi Cai, Chen-Chieh Feng, Yuanyi Chen |
| 6 |
[GO] |
2022―Apr―07 |
Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression |
Bisong Hu, Qianqian Zhang, Vincent Tao, Jinfeng Wang, Hui Lin, Lijun Zuo, Yu Meng |
| 7 |
[GO] |
2022―Apr―01 |
Are spatial patterns of Covid-19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain |
Olga De Cos Guerra, Valentín Castillo Salcines, David Cantarero Prieto |
| 8 |
[GO] |
2022―Mrz―18 |
Exploring the spatial disparity of home-dwelling time patterns in the USA during the COVID-19 pandemic via Bayesian inference |
Xiao Huang, Yang Xu, Rui Liu, Siqing Wang, Sicheng Wang, Mengxi Zhang, et al. (+5) Yuhao Kang, Zhe Zhang, Song Gao, Bo Zhao, Zhenlong Li |
| 9 |
[GO] |
2021―Okt―10 |
Urban spatial epidemic simulation model: A case study of the second COVID-19 outbreak in Beijing, China |
Qiang Huang, Qiyong Liu, Ci Song, Xiaobo Liu, Hua Shu, Xi Wang, et al. (+4) Yaxi Liu, Xiao Chen, Jie Chen, Tao Pei |
| 10 |
[GO] |
2021―Sep―06 |
Analysis of spatiotemporal mobility of shared-bike usage during COVID-19 pandemic in Beijing |
Xinwei Chai, Xian Guo, Jihua Xiao, Jie Jiang |
| 11 |
[GO] |
2021―Aug―05 |
Evaluating the effectiveness and efficiency of risk communication for maps depicting the hazard of COVID-19 |
Hao Fang, Shiwei Xin, Huishan Pang, Fan Xu, Yuhui Gui, Yan Sun, Nai Yang |
| 12 |
[GO] |
2021―Jul―17 |
Understanding and predicting the spatio-temporal spread of COVID-19 via integrating diffusive graph embedding and compartmental models |
Tong Zhang, Jing Li |
| 13 |
[GO] |
2021―Jul―13 |
Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong |
Zihan Kan, Mei-Po Kwan, Jianwei Huang, Man Sing Wong, Dong Liu |
| 14 |
[GO] |
2021―Jul―13 |
Analyzing spatial mobility patterns with time-varying graphical lasso: Application to COVID-19 spread |
Iván L. Degano, Pablo A. Lotito |
| 15 |
[GO] |
2021―Jul―12 |
A review of GIS methodologies to analyze the dynamics of COVID-19 in the second half of 2020 |
Ivan Franch-Pardo, Michael R. Desjardins, Isabel Barea-Navarro, Artemi Cerdà |
| 16 |
[GO] |
2021―Jul―01 |
The US COVID Atlas: A dynamic cyberinfrastructure surveillance system for interactive exploration of the pandemic |
Marynia Kolak, Xun Li, Qinyun Lin, Ryan Wang, Moksha Menghaney, Stephanie Yang, Vidal Anguiano |
| 17 |
[GO] |
2021―Mai―07 |
Mask R-CNN-based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid-19 response in Khartoum, Sudan |
Dirk Tiede, Gina Schwendemann, Ahmad Alobaidi, Lorenz Wendt, Stefan Lang |
| 18 |
[GO] |
2020―Mai―26 |
Spatially explicit models for exploring COVID-19 lockdown strategies |
David O'Sullivan, Mark Gahegan, Daniel J. Exeter, Benjamin Adams |
