Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China

Comparison of approaches for urban functional zones classification based on multi-source geospatial data: A case study in Yuzhong District, Chongqing, China

10.3390/su11030660

Saved in:
Bibliographic Details
Main Authors: Cao, K, Guo, H, Zhang, Y
Other Authors: GEOGRAPHY
Format: Article
Published: 2020
Subjects:
accuracy assessment
classification
comparative study
functional change
machine learning
numerical model
satellite imagery
spatial data
urban area
urban planning
China
Chongqing
Gansu
Yuzhong
Online Access:https://scholarbank.nus.edu.sg/handle/10635/175005
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/175005

Similar Items