A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records

A Method for the Estimation of Finely-Grained Temporal Spatial Human Population Density Distributions Based on Cell Phone Call Detail Records

Estimating and mapping population distributions dynamically at a city-wide spatial scale, including those covering suburban areas, has profound, practical, applications such as urban and transportation planning, public safety warning, disaster impact assessment and epidemiological modelling, which b...

Full description

Bibliographic Details
Main Authors: Guangyuan Zhang, Xiaoping Rui, Stefan Poslad, Xianfeng Song, Yonglei Fan, Bang Wu
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
population density distribution estimation
call detail records (CDR)
artificial population density
deep convolutional generative adversarial networks (DCGANs)
big data
Online Access:https://www.mdpi.com/2072-4292/12/16/2572

Internet

https://www.mdpi.com/2072-4292/12/16/2572

Similar Items