Prediction and analysis of residential house price using a flexible spatiotemporal model

House price prediction has traditionally been approached using linear or spatial hedonic models and focused on big cities. In this study, we developed a flexible spatiotemporal model (FSTM) to explore the characteristics of residential house impact factors in middle-small The FSTM integrated both temporal components price, accounted for its characteristics, reproduced variability trends. results showed that governmental policy had significant influence led being different from those also included density roads, banks, supermarkets, area used by public user shared within building. This study implied provided potential