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Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows
16 references·3 citing·42 second hop
Spatio-temporal mobility and Twitter: 3D visualisation of mobility flows (2020)Spatio-temporal mobility and Twitter: 3D …The International Encyclopedia of Geography: People, the Earth, Environment and Technology (2018)The International Encyclopedi…Measuring the impacts of new public transit services on space-time accessibility: An analysis of transit system redesign and new bus rapid transit in Columbus, Ohio, USA (2018)Measuring the impacts of new …Tourists' digital footprint in cities: Comparing Big Data sources (2017)Tourists' digital footprint i…City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)City dynamics through Twitter…Transportation network design for maximizing space–time accessibility (2015)Transportation network design…Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS (2015)Identification of tourist hot…Where in the World Are You? Geolocation and Language Identification in Twitter (2014)Where in the World Are You? G…Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China (2013)Investigating commuting flexi…The Social Interaction Potential of Metropolitan Regions: A Time-Geographic Measurement Approach Using Joint Accessibility (2012)The Social Interaction Potent…Exploratory data analysis of activity diary data: a space–time GIS approach (2011)Exploratory data analysis of …The Internet, mobile phone and space-time constraints (2008)The Internet, mobile phone an…Exploring potential human activities in physical and virtual spaces: a spatio‐temporal GIS approach (2008)Exploring potential human act…A Space‐Time GIS Approach to Exploring Large Individual‐based Spatiotemporal Datasets (2008)A Space‐Time GIS Approach to …Necessary Space—Time Conditions for Human Interaction (2005)Necessary Space—Time Conditio…Modelling accessibility using space-time prism concepts within geographical information systems (1991)Modelling accessibility using…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)WHAT ABOUT PEOPLE IN REGIONAL…Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid (2024)Recovering urban nightlife: C…Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic (2023)Mapping of functional areas i…Le terapie on-line: opportunità o ripiego? 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References

  • 1970WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?3,414 cited
  • 1991Modelling accessibility using space-time prism concepts within geographical information systems680 cited
  • 2015Identification of tourist hot spots based on social networks: A comparative analysis of European metropolises using photo-sharing services and GIS363 cited
  • 2018The International Encyclopedia of Geography: People, the Earth, Environment and Technology341 cited
  • 2014Where in the World Are You? Geolocation and Language Identification in Twitter319 cited
  • 2008The Internet, mobile phone and space-time constraints282 cited
  • 2017Tourists' digital footprint in cities: Comparing Big Data sources257 cited
  • 2008Exploring potential human activities in physical and virtual spaces: a spatio‐temporal GIS approach205 cited
  • 2011Exploratory data analysis of activity diary data: a space–time GIS approach190 cited
  • 2015Transportation network design for maximizing space–time accessibility176 cited
  • 2005Necessary Space—Time Conditions for Human Interaction165 cited
  • 2008A Space‐Time GIS Approach to Exploring Large Individual‐based Spatiotemporal Datasets133 cited
  • 2012The Social Interaction Potential of Metropolitan Regions: A Time-Geographic Measurement Approach Using Joint Accessibility133 cited
  • 2018Measuring the impacts of new public transit services on space-time accessibility: An analysis of transit system redesign and new bus rapid transit in Columbus, Ohio, USA

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131 cited
  • 2013Investigating commuting flexibility with GPS data and 3D geovisualization: a case study of Beijing, China124 cited
  • 2017City dynamics through Twitter: Relationships between land use and spatiotemporal demographics117 cited
  • Cited by

    • 2024Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid8 cited
    • 2023Mapping of functional areas in Spain based on mobile phone data during different phases of the COVID-19 pandemic6 cited
    • 2021Le terapie on-line: opportunità o ripiego?2 cited