城市土地价格的空间插值估计方法  

SPATIAL INTERPOLATION ESTIMATING METHOD OF URBAN LAND PRICE

作　　者：张宇[1] 刘春[1] 

机构地区：[1]同济大学测绘与地理信息学院,上海200092

出　　处：《井冈山大学学报（自然科学版）》2014年第3期7-12,共6页Journal of Jinggangshan University (Natural Science)

基　　金：国家自然科学基金项目(41371333)

摘　　要：随着城市的快速发展,准确的衡量城市土地价格,以及土地价格分布,对于城市建设规划具有非常重要的作用。首先,获取土地价格的实际数据,并对数据的空间特征和统计学特征进行分析。然后,在空间统计分析的基础上,设计出对克里金插值的半变异函数进行拟合的实验方案,并从中选出误差最小的估计模型。最后,得到土地价格估计模型后,以某城市为例进行土地价格估计,并对估计结果进行误差分析。分析结果与预测结果基本一致,估计得到的土地价格分布也与实际情况相符,准确的估计结果在所有结果中占90%以上,得到较好的估计精度。With the rapid development of cities, it is very important for urban planning and city development that obtains accurate price of urban land and describes the distribution of that accurately. In this paper, the real data of land price has been got, and the spatial character and statistical character of it has been analyzed with the method of geostatistical analysis. Base on the result of geostatistical analysis, semi-variogram function of Kriging Interpolation has been designed to make an experiment to estimate the land price, and then the best estimation model is selected for the smallest error. With the best model, the real land price of a city is estimated as a study case, and the error is analyzed. The results of price estimation are similar to the prediction results. And the distribution character of land price that is got with the function estimated before conforms to the actual too. The analysis results have a little deviation with measured data, and to meet requirements, the exact results account for more than 90 percent, reflecting the good estimation accuracy.

关 键 词：地统计分析 半变异函数 克里金插值 误差分析 土地价格估计 

分 类 号：F293.2[经济管理—国民经济]