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Big Data to Monitor Big Social Events: Analysing the mobile phone signals in the Brescia Smart City
7 references·0 citing·31 second hop
Big Data to Monitor Big Social Events: Analysing the mobile phone signals in the Brescia Smart City (2015)Big Data to Monitor Big Social Events: An…Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region (2014)Treelet Decomposition of Mobi…Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Towards a Comparative Science…From mobile phone data to the spatial structure of cities (2014)From mobile phone data to the…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Estimating human trajectories and hotspots through mobile phone data (2014)Estimating human trajectories…Applied Spatial Data Analysis with R (2013)Applied Spatial Data Analysis…Applied Spatial Data Analysis with R. Springer (2008)Applied Spatial Data Analysis…Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Comparing and modelling land use organization in cities (2015)A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective (2016)On the Move: Mobility in the Modern Western World (2006)The New Mobilities Paradigm (2006)A New Map of the Milan Urban Region Through Mobile Phone Data (2014)Identifying communities of practice through mobile phone data (2014)A Spatio-Temporal Indicator for City Users Based on Mobile Phone Signals and Administrative Data (2020)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)What about people in Regional Science? (1970)Data from mobile phone operators: A tool for smarter cities? (2014)Traffic zone division based on big data from mobile phone base stations (2015)Urban magnetism through the lens of geo-tagged photography (2015)The scaling laws of human travel (2006)Uncovering the spatial structure of mobility networks (2015)African Mining, Gender, and Local Employment (2016)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Urban Spatial Structure (2010)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The universal visitation law of human mobility (2021)Thirty years of spatial econometrics (2010)GRASS GIS: A multi-purpose open source GIS (2011)Comparing Implementations of Estimation Methods for Spatial Econometrics (2015)Do More Hospital Beds Lead to Higher Hospitalization Rates? A Spatial Examination of Roemer’s Law (2013)The Urban–Rural Gulf in American Political Behavior (2020)A Review of Software for Spatial Econometrics in R (2021)
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References

  • 2013Applied Spatial Data Analysis with R3,216 cited
  • 2014From mobile phone data to the spatial structure of cities458 cited
  • 2008Applied Spatial Data Analysis with R. Springer331 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2014Estimating human trajectories and hotspots through mobile phone data212 cited
  • 2014Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong100 cited
  • 2014Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region20 cited

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