Research of regional real estate early warning based on spatial regression

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Abstract

It is important that spatial statistical analysis is used into forecasting trends of the real estate market. In this paper, we select 740 living areas in Jinan, Shandong Province for Hot-Spot analysis. Then we use Moran's I spatial autocorrelation analysis to determine spatial association for each cell. Finally spatial regression method is used to predict real estate trends in Jinan. The results present that the northwestern region show slow development, and the southeastern region show rapid development. © Springer-Verlag Berlin Heidelberg 2013.

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Zhao, J., Duan, Q., & Xi, Z. (2013). Research of regional real estate early warning based on spatial regression. In Communications in Computer and Information Science (Vol. 398 PART I, pp. 80–87). Springer Verlag. https://doi.org/10.1007/978-3-642-45025-9_9

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