Modeling urban redevelopment: A novel approach using time-series remote sensing data and machine learning
-
Published:2024-06
Issue:2
Volume:5
Page:211-219
-
ISSN:2666-6839
-
Container-title:Geography and Sustainability
-
language:en
-
Short-container-title:Geography and Sustainability
Author:
Lin Li,
Di LipingORCID,
Zhang ChenORCID,
Guo Liying,
Zhao HaotengORCID,
Islam DidarulORCID,
Li HuiORCID,
Liu Ziao,
Middleton Gavin
Reference52 articles.
1. Alejandro, Y., Palafox, L., 2019. Gentrification prediction using machine learning. In: Martínez-Villaseñor, L., Batyrshin, I., Marín-Hernández, A. (Eds.), Advances in Soft Computing, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp. 187–199. https://doi.org/10.1007/978-3-030-33749-0_16
2. The hidden costs of gentrification: displacement in central London;Atkinson;J. Hous. Built Environ.,2000
3. Gentrification in Latin America: overview and critical analysis;Betancur;Urban Stud. Res.,2014
4. Pattern Recognition and Machine Learning;Bishop,2006
5. Black home-owners as a gentrifying force? Neighbourhood dynamics in the context of minority home-ownership;Bostic;Urban Stud.,2003
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献