26 July 2007 The study on adaptive spatial sampling used in allocation of housing price monitoring sites taking Wujin section of Changzhou city as an example
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Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67531A (2007); doi: 10.1117/12.761791
Event: Geoinformatics 2007, 2007, Nanjing, China
Abstract
In recent years, the Chinese government has attached great importance to the increasingly upward trend in housing price and many regions have developed the monitoring and reporting system of housing price. However, the factors which influence the housing price is so complex that traditional sampling approaches used in the land price monitoring could not play well in housing price monitoring. By analyzing the disadvantages existed in classical spatial sampling and specific characteristics of housing price, taking the dwelling houses in Wujin section of Changzhou city for example, the author brought the adaptive spatial sampling to the allocation of housing price monitoring sites. Through the experiments, we could come to the conclusion that based on spatial-relative matrix, through comprehensive analysis, spatial adaptive sampling would lead to the samples that are representative both on special attributes and spatial location. Finally, the paper also discussed practical approaches that may work to improve the efficiency of adaptive spatial sampling in further study.
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Ziyue Chen, Manchun Li, Zhenjie Chen, "The study on adaptive spatial sampling used in allocation of housing price monitoring sites taking Wujin section of Changzhou city as an example", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67531A (26 July 2007); doi: 10.1117/12.761791; https://doi.org/10.1117/12.761791
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