Replication data for Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions

Name: Replication data for Convolutional neural networks with hierarchical context transfer for high-resolution spatiotemporal predictions
Creator: Visheratin, Alexander; Mukhina, Ksenia
Published: 2020-10-14T00:00:00+08:00

Zenodo2020-10-14 更新2026-04-07 收录

城市时空预测

人类活动模式

数据链接：

https://zenodo.org/record/4088832 数据链接链接失效反馈

官方服务：

资源简介：

Data represents number of posts from Instagram in area for six large cities (New York, London, Moscow, Vienna, Tokyo, and Saint Petersburg) covering 2017 and 2018. We aggregated data by hours and split each city using hierarchical area split by 10x10 grid with three levels. The size of the cell on the micro-level equals to 50 meters. Thus, we get 8760 examples for each year. Cells with zero number of posts in an hour are not listed. Data stored in JSON files with the following format: {"2018-12-13 04:00:00": {"(4, 4)": {"sum":1, "data": {"(9, 6)": {"sum":1, "data":{"(2, 4)":1}}}}}}

提供机构：

Visheratin, Alexander; Mukhina, Ksenia

创建时间：

2020-10-14