Spectral clustering for sensing urban land use using Twitter activity-Reference-Cited by-同舟云学术

Spectral clustering for sensing urban land use using Twitter activity

Published:2014-10 Issue: Volume:35 Page:237-245
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Frias-Martinez Vanessa,Frias-Martinez Enrique

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference29 articles.

1. Voronoi diagrams—a survey of a fundamental geometric data structure;Aurenhammer;ACM Comput. Surv.,1991

2. Traffic flow estimation models using cellular phone data;Caceres;IEEE Trans. Aerosp. Electron. Syst.,2012

3. Real-time urban monitoring using cell phones: a case study in Rome;Calabrese;IEEE Trans. Aerosp. Electron. Syst.,2011

4. Cranshaw, J., Schwartz, R., Hong, J., Sadeh, N., 2012. The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City. In: AAAI Conf. on Weblogs and Social Media (ICWSM).

Cited by 144 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

1. Deep learning for urban land use category classification: A review and experimental assessment;Remote Sensing of Environment;2024-09

2. Identification of Land Use Mix Using Point-Based Geospatial Data in Urban Areas;Applied Sciences;2024-08-06

3. Computational social science in regional analysis and the European real estate market;Regional Studies;2024-04-18

4. Identifying Land Use Functions in Five New First-Tier Cities Based on Multi-Source Big Data;Land;2024-02-21

5. Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility;Humanities and Social Sciences Communications;2024-01-04