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.

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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.

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本研究选取比较有代表性的几种空间估计方法：传统空间插值方法中的反距离加权法和趋势面法；

The study selects some representative methods of estimation in spatial variables as objects, including Inverse Distance Weighting in the traditional space estimation;

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