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.
采用网格索引来组织地形数据，利用反距离高程加权平均值算法，提取TIN地形的特征点。
Terrain data is organized by grid, the article adopts height weighted average algorithm of elevation based on grid network, to extract feature point of TIN terrain.
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.
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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