摘要
目前对降水量空间插值方法的研究很多,针对反距离权重插值、样条函数插值、普通克里金插值在降水量空间插值中的缺陷,提出引入月平均总云量影响因子的协同克里金插值方法。并以内蒙古降水量数据为例进行实验,实验结果表明,引入月平均总云量影响因子的协同克里金插值在精度和拟合度方面得到改善。
At present, there are many rainfall spatial interpolation methods. Co - Kriging interpolation methods which consider monthly averaged total cloud amount are put forward to point against the fault of Inverse Distance Weighted interpolation, Spline interpolation and Ordinary Kriging interpolation. The rainfall data in Neimenggu is adopted in the experiment. The experimental results show that Co -Kriging interpolation is superior to others in the precision and IOA.
出处
《测绘与空间地理信息》
2012年第3期123-126,共4页
Geomatics & Spatial Information Technology
关键词
降水量空间插值
月平均总云量
协同克里金插值
rainfall spatial interpolation
monthly averaged total cloud amount
Co - Kriging interpolation
