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Extracting individual trajectories from text by fusing large language models with diverse knowledge
16 references·0 citing·47 second hop
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References

  • 1938A NEW MEASURE OF RANK CORRELATION7,315 cited
  • 2008Understanding individual human mobility patterns6,071 cited
  • 2020The scales of human mobility361 cited
  • 1984Towards a Theory of Space in Narrative236 cited
  • 2015Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach189 cited
  • 2016Editorial: human dynamics in the mobile and big data era132 cited
  • 2021The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic117 cited
  • 2025Towards the next generation of Geospatial Artificial Intelligence96 cited
  • 2018Estimation of urban crowd flux based on mobile phone location data: A case study of Beijing, China46 cited
  • 2022Revealing spatiotemporal matching patterns between traffic flux and road resources using big geodata - A case study of Beijing36 cited
  • 2006Automatic Generation of Multimedia Tour Guide from Local Blogs31 cited
  • 2021Fractal dimension of job-housing flows: A comparison between Beijing and Shenzhen28 cited
  • 2014Rebuilding the Great Britain Historical GIS, Part 3:Integrating Qualitative Content for a Sense of Place28 cited
  • 2025LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey

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25 cited
  • 2020Harvesting Big Geospatial Data from Natural Language Texts20 cited
  • 2024The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling20 cited
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