反距离加权插值，即IDW(Inverse Distance Weight) ，也可以称为距离倒数乘方法。是指距离倒数乘方格网化方法是一个加权平均插值法，可以进行确切的或者圆滑的方式插值。方次参数控制着权系数如何随着离开一个格网结点距离的增加而下降。对于一个较大的方次，较近的数据点被给定一个较高的权重份额，对于一个较小的方次，权重比较均匀地分配给各数据点。(Inverse distance weighted interpolation, IDW (inverse distance weight) [1], can also be called inverse distance multiplication method. It is a weighted average interpolation method, which can be used for precise or smooth interpolation. The square parameter controls how the weight coefficient decreases with the distance from a grid node. For a larger power, the nearest data points are given a higher weight share, and for a smaller power, the weight is evenly distributed to each data point.)