Volume 18, Issue 51 (No.3&4-صفحات انگلیسی از 83 تا 114 2005)
2005, 18(51): 243-250 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Comparison of Spatial Interpolation Methods. Journal title 2005; 18 (51) :243-250
URL: http://jsci.khu.ac.ir/article-1-1149-en.html
URL: http://jsci.khu.ac.ir/article-1-1149-en.html
Abstract: (5219 Views)
Sometimes observations in statistical analysis are not independent and typically are correlated with their spatial locations. In spatial statistics there are some methods to interpolate this kind of data. In this paper some of interpolators for spatial data will be studied. Then they will be evaluated and compared by means of mean square errors criteria. Finally it will be shown that kriging acts better than other methods such as spline, inverse distance, for interpolation of spatial data.
Published: 2005/05/15
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
