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What is Spatiotemporal Model for House Price Prediction about?

This study develops a flexible spatiotemporal model (FSTM) to analyze and predict residential house prices in middle-small cities, focusing on Shunde District, Foshan, China. The FSTM accounts for both spatial and temporal factors influencing house prices, revealing significant impacts from government policy and urban characteristics. The research highlights the distinct driving factors of house prices in smaller cities compared to larger urban areas, providing insights for urban planning and resource manag

Author

Franco Wan

Language

EN