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A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data
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A New Insight into Land Use Classification Based on Aggregated Mobile Phone Data (2013)A New Insight into Land Use Classificatio…Exploring Human Activity Patterns Using Taxicab Static Points (2012)Exploring Human Activity Patt…Classifying Urban Fabrics into Mobile Call Activity with Supervised Machine Learning (2021)Classifying Urban Fabrics int…Power-Law Distributions in Empirical Data (2009)Limits of Predictability in Human Mobility (2010)Understanding the Functionality of Human Activity Hotspots from Their Scaling Pattern Using Trajectory Data (2017)Power-law distributions in empirical data (2018)Identifying Urban Functional Areas in China’s Changchun City from Sentinel-2 Images and Social Sensing Data (2021)Sustaining the Well-Being of Wearable Technology Users: Leveraging SEM-Based IPMA and VIKOR Analyses to Gain Deeper Insights (2022)Inferring land use from mobile phone activity (2012)A new insight into land use classification based on aggregated mobile phone data (2014)D4D-Senegal: The Second Mobile Phone Data for Development Challenge (2014)
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References

  • 2012Exploring Human Activity Patterns Using Taxicab Static Points23 cited

Cited by

  • 2021Classifying Urban Fabrics into Mobile Call Activity with Supervised Machine Learning4 cited

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