【 Method 】 Data were analyzed with the traditional statistical analysis method, the geo-statistical analysis with semivariogram structure and model fitting, the ordinary Kriging and the inverse distance weighting method. 【方法】样品测定结果采用传统统计分析,半方差结构和模型拟合的地统计分析以及结合普通Kriging和反比距离插值方法进行分析。
The study selects some representative methods of estimation in spatial variables as objects, including Inverse Distance Weighting(IDW) in the traditional space estimation; 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;
Moreover, three estimation methods ( bi-linear interpolation, inverse distance weighting method and the correlation coefficient method ) were compared and the results showed that there was no absolutely optimal way. 另外,通过分析对比雨量站点预报降雨的三种估算方法(双线性插值法,反距离加权法和相关系数法),提出了集成双线性插值法和反距离加权法的耦合估算方法。
Because the root mean square error is more important, ordinary kriging interpolation was better than inverse distance weighting, which was better than simple Kriging method. 因为均方根预测误差值更为重要,所以从总体上看普通克里格方法优于反距离加权插值法,而反距离加权法又优于简单克里格方法。
Improvement Research on Inverse Distance Weighting(IDW) Method Based on Dynamic Voronoi Diagram 基于动态Voronoi图的距离倒数加权法的改进研究