Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy

Fast Identification of Urban Sprawl Based on K-Means Clustering with Population Density and Local Spatial Entropy

As urban sprawl is proven to jeopardize the sustainability system of cities, the identification of urban sprawl is essential for urban studies. Compared with previous related studies which tend to utilize more and more complicated variables to recognize urban sprawl while still retaining an element...

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Bibliographic Details
Main Authors: Lingbo Liu, Zhenghong Peng, Hao Wu, Hongzan Jiao, Yang Yu, Jie Zhao
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Sustainability
Subjects:
urban sprawl
K-means clustering
Floating Catchment Area (FCA)
local spatial entropy
population density
Elbow method
Online Access:http://www.mdpi.com/2071-1050/10/8/2683

Internet

http://www.mdpi.com/2071-1050/10/8/2683

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