Abstract
It is importantthatspatial 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.
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Zhao, J., Duan, Q., Xi, Z. (2013). Research of Regional Real Estate Early Warning Based on Spatial Regression. In: Bian, F., Xie, Y., Cui, X., Zeng, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. Communications in Computer and Information Science, vol 398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45025-9_9
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DOI: https://doi.org/10.1007/978-3-642-45025-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45024-2
Online ISBN: 978-3-642-45025-9
eBook Packages: Computer ScienceComputer Science (R0)