Evaluation of spatial interpolation methods for annual rainfall on the highlands of Eritrea

被引：0
|
作者：
Mebrhatu, Mehari Tesfazgi [1 ]
机构：
[1] Univ Orange Free State, Dept Agrometeorol, ZA-9300 Bloemfontein, South Africa
来源：
DISCOVERY AND INNOVATION | 2006年 / 18卷 / 01期
关键词：
inverse distance weighted; Kriging; Spline;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This article evaluates different spatial interpolation methods to form a continuous surface based on measured annual rainfall totals. Interpolation methods examined in this study include inverse distance weighted (IDW), Spline and Kriging. The annual rainfall totals measurements were taken at 22 discrete locations in the highlands of Eritrea. Root mean square error (RMSE) and index of agreement (D) quantified suitability. Judging from the statistical results, the standard implementation of Kriging provides the smallest prediction errors than IDW and Spline. IDW prediction errors were almost similar to Kriging while Spline produced the largest prediction errors.
引用
收藏
页码：15 / 22
页数：8
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