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土壤重金属的空间插值方法比较分析——以阳谷县为例
引用本文:张苏. 土壤重金属的空间插值方法比较分析——以阳谷县为例[J]. 测绘与空间地理信息, 2020, 0(4): 148-150,153
作者姓名:张苏
作者单位:福州大学地理空间信息技术国家地方联合工程研究中心空间数据挖掘与信息共享教育部重点实验室
摘    要:空间插值通过采集少量的数据点,利用其中的空间关联,推求该区域内其他位置的属性值。本文以山东省阳谷县土壤重金属Cu采样数据为例进行空间探索性分析,分别采用了反距离权重插值和普通克里金插值两种方法进行空间分布插值模拟。结果表明,针对研究区采样数据,反距离权重插值方法生成的模型平均误差为1.97 mg/kg,总体精度为92%;普通克里金插值模型的平均误差为1.91 mg/kg,总体精度为92.35%,普通克里金插值方法更优。

关 键 词:重金属  普通克里金  空间插值  反距离权重

Comparative Analysis of Spatial Interpolation Methods for Soil Heavy Metals:A Case Study of Yanggu County
ZHANG Su. Comparative Analysis of Spatial Interpolation Methods for Soil Heavy Metals:A Case Study of Yanggu County[J]. Geomatics & Spatial Information Technology, 2020, 0(4): 148-150,153
Authors:ZHANG Su
Affiliation:(Key Laboratory of Spatial Data Mining&Information Sharing of MOE,National Engineering Research Center of Geo-spatial Information Technology,Fuzhou University,Fuzhou 350016,China)
Abstract:Spatial interpolation can extract the attribute values of other locations in the region by collecting a small number of data points and utilizing the spatial correlation among them.In this paper,the spatial exploratory analysis of soil heavy metal copper sampling data in Yanggu County,Shandong Province was carried out.Two methods,inverse distance weight interpolation and ordinary Kriging interpolation,were used to simulate spatial distribution.The results show that the average error of the model generated by the inverse distance weight interpolation method is 1.97 mg/kg and the overall accuracy is 92%.The average error of the ordinary Kriging interpolation model is 1.91 mg/kg and the overall accuracy is 92.35%.The ordinary Kriging interpolation method is better.
Keywords:heavy metal  ordinary Kriging  spatial interpolation  inverse distance weight
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