Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data

Integrating the Eigendecomposition Approach and k-Means Clustering for Inferring Building Functions with Location-Based Social Media Data

Understanding the relationship between human activity patterns and urban spatial structure planning is one of the core research topics in urban planning. Since a building is the basic spatial unit of the urban spatial structure, identifying building function types, according to human activities, is...

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Bibliographic Details
Main Authors: Feng Gao, Guanping Huang, Shaoying Li, Ziwei Huang, Lei Chai
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
social media data
building function
eigendecomposition
k-means clustering
Guangzhou
Online Access:https://www.mdpi.com/2220-9964/10/12/834

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