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When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates
16 references·3 citing·34 second hop
When spatial interpolation matters: Seeking an appropriate data transformation from the mobile network for population estimates (2024)When spatial interpolation matters: Seeki…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…From mobile phone data to the spatial structure of cities (2014)From mobile phone data to the…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…A new insight into land use classification based on aggregated mobile phone data (2014)A new insight into land use c…Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records (2013)Understanding monthly variabi…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Exploring the mobility of mobile phone users (2012)Exploring the mobility of mob…Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)Improved Response to Disaster…Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Correlating mobile phone usag…Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Uncovering individual and collective human dynamics from mobile phone records (2008)Uncovering individual and col…Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation (2001)Dasymetric Mapping and Areal …A Framework for the Areal Interpolation of Socioeconomic Data (1993)A Framework for the Areal Int…Spatial Interpolation Methods: A Review (1983)Spatial Interpolation Methods…Pulsating population: the rhythmicity of municipalities in the Czech Republic based on mobile phone location data (2025)Pulsating population: the rhy…Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic (2025)Assessing the space-use effic…Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study (2025)Assessing mobile phone data a…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)Computational Social Science (2009)A survey of results on mobile phone datasets analysis (2015)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)Measuring the information society (1989)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)Applications of artificial intelligence for disaster management (2020)Social physics (2022)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Unravelling daily human mobility motifs (2013)Development of origin–destination matrices using mobile phone call data (2014)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The universal visitation law of human mobility (2021)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)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Travel and the Built Environment (2010)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)Fine-resolution population mapping using OpenStreetMap points-of-interest (2014)Interpolating U.S. Decennial Census Tract Data from as Early as 1970 to 2010: A Longitudinal Tract Database (2014)Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data (2017)Geographically weighted summary statistics — a framework for localised exploratory data analysis (2002)Real estate appraisal: a review of valuation methods (2003)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 1983Spatial Interpolation Methods: A Review946 cited
  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2011Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti634 cited
  • 2008Uncovering individual and collective human dynamics from mobile phone records606 cited
  • 2001Dasymetric Mapping and Areal Interpolation: Implementation and Evaluation516 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2014From mobile phone data to the spatial structure of cities458 cited
  • 1993A Framework for the Areal Interpolation of Socioeconomic Data417 cited
  • 2014A new insight into land use classification based on aggregated mobile phone data399 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2011Correlating mobile phone usage and travel behavior – A case study of Harbin, China252 cited

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  • 2013Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records247 cited
  • 2012Exploring the mobility of mobile phone users239 cited
  • Cited by

    • 2025Assessing mobile phone data as proxy census commuting data for transport geography research: a critical review and case study8 cited
    • 2025Assessing the space-use efficiency of French cities by coupling city volumes with mobile data traffic6 cited
    • 2025Pulsating population: the rhythmicity of municipalities in the Czech Republic based on mobile phone location data4 cited