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A geo-intelligence paradigm examining and curbing shrinking cities: Detroit as a case study

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  • Yichun Xie
  • Xining Yang

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  • Yichun Xie & Xining Yang, 2024. "A geo-intelligence paradigm examining and curbing shrinking cities: Detroit as a case study," Environment and Planning B, , vol. 51(6), pages 1187-1194, July.
    • Handle: RePEc:sae:envirb:v:51:y:2024:i:6:p:1187-1194
    DOI: 10.1177/23998083241243124
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    References listed on IDEAS

    as
    1. Yuchen Li & Yichun Xie, 2018. "A New Urban Typology Model Adapting Data Mining Analytics to Examine Dominant Trajectories of Neighborhood Change: A Case of Metro Detroit," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 108(5), pages 1313-1337, September.
    2. Luca Fontana & Chiara Masci & Francesca Ieva & Anna Maria Paganoni, 2021. "Performing Learning Analytics via Generalised Mixed-Effects Trees," Data, MDPI, vol. 6(7), pages 1-31, July.
    3. Elena Batunova & Maria Gunko, 2018. "Urban shrinkage: an unspoken challenge of spatial planning in Russian small and medium-sized cities," European Planning Studies, Taylor & Francis Journals, vol. 26(8), pages 1580-1597, August.
    4. Manuel Aalbers, 2003. "Pressure and suction on housing markets: a critical reply to Priemus," European Journal of Housing Policy, Taylor and Francis Journals, vol. 3(1), pages 61-81.
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