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How would AI define neighborhood boundaries? A comparison with human-crowdsourced data
12 references·0 citing·49 second hop
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References

  • 1995Local Indicators of Spatial Association—LISA13,061 cited
  • 2012Great American City2,304 cited
  • 2003Where's Downtown?: Behavioral Methods for Determining Referents of Vague Spatial Queries285 cited
  • 2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models205 cited
  • 2016Contested Boundaries: Explaining Where Ethnoracial Diversity Provokes Neighborhood Conflict168 cited
  • 2007Defining Neighborhood Boundaries for Urban Health Research136 cited
  • 2017A data-synthesis-driven method for detecting and extracting vague cognitive regions102 cited
  • 2015Architectural Exclusion: Discrimination and Segregation Through Physical Design of the Built Environment59 cited
  • 2023ChatGPT as a mapping assistant: A novel method to enrich maps with generative AI and content derived from street-level photographs46 cited
  • 2025AI and the problem of knowledge collapse42 cited
  • 2025Posthuman Cartography? Rethinking Artificial Intelligence, Cartographic Practices, and Reflexivity28 cited
  • 2025Comparing the Spatial Querying Capacity of Large Language Models: OpenAI’s ChatGPT and Google’s Gemini Pro24 cited

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