采用分段线性插值法，给出了由形状观测离散值反求密度分布的计算方法，并给出了算例。
A calculation strategy for the recovery of density distribution by the shape observations is presented and proved by piecewise linear interpolation method.
根据空间自相关性，可以用普通克里格法和反距离加权平均法生成插值图。 所产生的多幅地图较合理地显示了小麦白粉病的地理空间分布格局。
Based on these results, interpolated graphs could be created with Ordinary Kriging and IDW methods to show the overall pattern of geographic distribution of wheat powdery in China.
采用归一化反距离加权插值法计算纠正后像素点的属性值。
The value of output pixels is calculated by the distance inverse weight method.
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