多种空间插值法在连续分布环境要素分析中的应用精度比较

Comparation of the precisions of several spatial interpolation methods in analyzing continuously distributed environmental factors

为了减少插值分析方法在连续分布环境要素中因使用不正确而造成对离散点数据分析精度的降低,以林地样方温度调查数据的分析为例,比较了插值分析中趋势面分析法、负距离权重法、样条法插值等三种空间插值分析方法在相关研究中的精度。结果表明,在对连续渐变环境因子的插值分析中,五种具体的插值算法中规则样条法在模拟空间连续变化量时有较高的精确度。此结论为研究者根据需要正确选择分析方法提供了参考。

In order to make the proper choice of the interpolation methods in analyzing continuously distributed environmental factors, and to avoid the declining of anlysis precious, this paper contrasts precisions from 3 interpolation methods ： trend - surface analysis, IDW analysis and spline analysis, and took the temperature data of forest samples as a case study. The results show that, in interpreting continuous environmental factors, a regularized spline analysis method has the highest precision among the total specific 5 methods. This conclusion can be a reference when selecting a proper interpolation method.