采用Voronoi网格模型实现空间数据的精确校正

Implement Voronoi Network Model to Correct Spatial Data

利用Voronoi网络模型对空间数据进行校正,能很好地处理误差分布的空间随机性和不确定性。“最近邻近内插法”和“面积窃用插值法”均在误差更正中发挥很好的效用,“面积窃用插值法”充分考虑到误差控制点的空间拓扑关系,其校正精度不错,但时间复杂度较高,而“最近邻近内插法”的算法简单,也有较好的校正精度。

Implementing Voranoi network model to correct spatial data is suitable to deal with the problem of the randomicity and uncertainty of spatial data＇s deviation （SDD）.In the method of interpolation,the Nearest Neighbour Interpolation （NNI）and the Area Stealing Interpolation （ASI）are very efficient in modifying SDD.The ASI takes full advantage of topological network of Voronoi,and the precision of emendation is relative high,just only taking more time to run.The availability of the NNI is for it＇s simplicity,and the precision of emendation is acceptable in many applicati on system.