| Summary: | 碩士 === 長榮大學 === 土地管理與開發研究所 === 95 === The changing of land price of traditionally statistical methods was investigated by using linear or non-linear regression models. Owing to the geographically spatial variability was frequently ignored, it was unlikely to reflect spatial variability of the distribution of the regional land price. Thus, in this study, we take the Taiwan region as an example, by choosing the data of urban land price distribution to activate the empirical analysis during 1997-2006. This study is to explore spatial variability of the spatial autocorrelation and the spatial heterogeneity separately, by using methods spatial statistics combined the assisted with GIS analysis functions and by explaining spatio-temporal analysis of urban land price to try to improve traditional static model. The result of the empirical study of the spatial autocorrelation of urban land price shows that the urban land price in the Taiwan region has the tendency of spatial clustering. This demonstrates that land price of the neighborhood could influence local land price. Also, the distribution of the regional land price reveals huge gaps between the region of North and South of Taiwan. Besides, there is also an obvious discrepancy between the region of East and West of Taiwan in terms of the regional land price construction. In addition, the result of the spatial heterogeneity of the urban land price shows that variables influencing on urban land price do exist on Spatial Non-Stationarity, and this will lead to the problem of model residual of spatial autocorrelation. By applying spatial statistic of GWR, it not only solves this problem, also it reveals that the value of is more significant than this in OLS model. This outcome may help fine-tune to estimate land price which fitted in with changing of the real space.
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