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Journal of Land Use Science Volume 12, 2017 - Issue 2-3
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Articles

Improving land use inference by factorizing mobile phone call activity matrix

Huina MaoUrban Dynamics Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USACorrespondence[email protected]
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,
Yong-Yeol AhnSchool of Informatics and Computing, Indiana University, Bloomington, IN, USAView further author information
,
Budhendra BhaduriUrban Dynamics Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USAView further author information
&
Gautam ThakurUrban Dynamics Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USAView further author information
Pages 138-153 | Received 08 Jul 2016, Accepted 03 Mar 2017, Published online: 11 Apr 2017

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Zhihao Sun, Zhenghong Peng, Yang Yu & Hongzan Jiao. (2022) Deep convolutional autoencoder for urban land use classification using mobile device data. International Journal of Geographical Information Science 36:11, pages 2138-2168.
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Articles from other publishers (10)

Mohammed Okmi, Lip Yee Por, Tan Fong Ang, Ward Al-Hussein & Chin Soon Ku. (2023) A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions. Sensors 23:9, pages 4350.
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Bing Xue, Xiao Xiao, Jingzhong Li, Bingyu Zhao & Bo Fu. (2022) Multi-source Data-driven Identification of Urban Functional Areas: A Case of Shenyang, China. Chinese Geographical Science 33:1, pages 21-35.
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Mohammed Okmi, Lip Yee Por, Tan Fong Ang & Chin Soon Ku. (2023) Mobile Phone Data: A Survey of Techniques, Features, and Applications. Sensors 23:2, pages 908.
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Mingxing Chen, Yue Xian, Yaohuan Huang, Xiaoping Zhang, Maogui Hu, Shasha Guo, Liangkan Chen & Longwu Liang. (2022) Fine-scale population spatialization data of China in 2018 based on real location-based big data. Scientific Data 9:1.
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Shengjun Liu, Lihong Su, Hongqian Guo & Yijing Chen. (2022) Identification of Urban Functional Areas and Governance Measures Based on Point of Interest Data: A Case Study of the Shenyang Railway Station Area in Shenyang City. Buildings 12:7, pages 1038.
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Mengqi Wang, Yinglin Wang, Bozhao Li, Zhongliang Cai & Mengjun Kang. (2022) A Population Spatialization Model at the Building Scale Using Random Forest. Remote Sensing 14:8, pages 1811.
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Yu Ma, Deping Li & Liang Zhou. (2021) Health Impact Attributable to Improvement of PM2.5 Pollution from 2014–2018 and Its Potential Benefits by 2030 in China. Sustainability 13:17, pages 9690.
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Budhendra Bhaduri, Ryan McManamay, Olufemi Omitaomu, Jibo Sanyal & Amy Rose. 2021. Urban Informatics. Urban Informatics 281 308 .
Tingting Ye, Naizhuo Zhao, Xuchao Yang, Zutao Ouyang, Xiaoping Liu, Qian Chen, Kejia Hu, Wenze Yue, Jiaguo Qi, Zhansheng Li & Peng Jia. (2019) Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model. Science of The Total Environment 658, pages 936-946.
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Zhizhuang Xing, Wenhui Lin, Yuanyuan Qiao, Hao Zhang, Kewu Sun & Jie Yang. (2018) Inferring Land Use Type in Urban Area with Mobile Big Data. Inferring Land Use Type in Urban Area with Mobile Big Data.

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