A graph spatial-temporal model for predicting population density of key areas

Predicting the population density of key areas of the city is crucial. It helps reduce the spread risk of Covid-19 and predict individuals’ travel needs. Although current researches focus on using the method of clustering to predict the population density, there is almost no discussion about using s...

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Detalles Bibliográficos
Autores principales: Xu, Zhihao, Li, Jianbo, Lv, Zhiqiang, Wang, Yue, Fu, Liping, Wang, Xinghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494484/
https://www.ncbi.nlm.nih.gov/pubmed/34642506
http://dx.doi.org/10.1016/j.compeleceng.2021.107235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494484/
https://www.ncbi.nlm.nih.gov/pubmed/34642506
http://dx.doi.org/10.1016/j.compeleceng.2021.107235

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