Area-to-point Kriging in spatial hedonic pricing models
Area-to-point Kriging in spatial hedonic pricing models
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DOI：
10.1007/s10109-009-0090-z
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发表时间：
2009-12-01
影响因子：
2.9
通讯作者：
Kyriakidis, P. C.
中科院分区：
文献类型：
--
作者：
Yoo, E. -H.;Kyriakidis, P. C.
本文提出了一个地统计特征价格模型，在该模型中，位置对房屋价值的影响被显式建模。建议的地质统计方法，即区域到点的克立格与外部漂移（A2PKED），可以考虑到空间依赖性和空间异方差性，如果它们存在。此外，在除了个别住房价格数据的子集之外还有详尽的地区平均住房价格数据的情况下，这种方法具有重要意义。在案例研究中，我们证明，A2PKED大大提高了质量的预测，使用公寓销售交易记录发生在首尔，韩国，在2003年。通过比较分析，从不同的模型，包括两个传统的基于回归的享乐模型和一个点支持地质统计模型，得到的预测值进行了比较，从A2PKED模型得到的改进。
This paper proposes a geostatistical hedonic price model in which the effects of location on house values are explicitly modeled. The proposed geostatistical approach, namely area-to-point Kriging with External Drift (A2PKED), can take into account spatial dependence and spatial heteroskedasticity, if they exist. Furthermore, this approach has significant implications in situations where exhaustive area-averaged housing price data are available in addition to a subset of individual housing price data. In the case study, we demonstrate that A2PKED substantially improves the quality of predictions using apartment sale transaction records that occurred in Seoul, South Korea, during 2003. The improvement is illustrated via a comparative analysis, where predicted values obtained from different models, including two traditional regression-based hedonic models and a point-support geostatistical model, are compared to those obtained from the A2PKED model.