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.
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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