期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 4
出版社：Copernicus Publications
摘要：Statistical criteria are poor at evaluating spatial exploratory models of hedonic regression because they are heavily dependent on uncertain assumptions concerning spatial relationships. To resolve this problem, empirical evaluation methods are proposed in this paper. A simple linear model and three spatial models for a housing and land price dataset in Tokyo are studied for illustration. The prediction power of models is emphasized. With a cross-validation technique, the housing and land price at each sample point are predicted, then, numerical and graphical criteria are supposed using these predicted values and real observed prices. The methods not only help us to select suitable models for a dataset, but also provide an alternative for the significance test of concerned spatial relationships.
关键词：Empirical evaluation; Cross-validation; Prediction; Spatial model
