Population Spatialization in Beijing City Based on Machine Learning and Multisource Remote Sensing Data

Population Spatialization in Beijing City Based on Machine Learning and Multisource Remote Sensing Data

Remote sensing data have been widely used in research on population spatialization. Previous studies have generally divided study areas into several sub-areas with similar features by artificial or clustering algorithms and then developed models for these sub-areas separately using statistical metho...

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Bibliographic Details
Main Authors: Miao He, Yongming Xu, Ning Li
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
population spatialization
remote sensing
random forest
Beijing
Online Access:https://www.mdpi.com/2072-4292/12/12/1910

Internet

https://www.mdpi.com/2072-4292/12/12/1910

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