最佳方案：反距离加权法（Inverse Distance Weighted）。反距离加权法是一种常用而简单的空间插值方法，IDW是基于“地理第一定律”的基本假设:即两个物体相似性随他们见的距离增大而减...
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反距离加权法适合田间墒情预测。
IDW is suitable for drought distribution prediction in the field.
文章采用栅格数据模型，运用面积权重法和反距离加权法对GDP值进行了空间拓展。
Using the areal weighting interpolation and inverse distance weighted averaging, a spatial distribution model of GDP is established in this paper.
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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