Volume 18, Issue 51 (No.3&4-صفحات انگلیسی از 83 تا 114 2005)                   2005, 18(51): 243-250 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Comparison of Spatial Interpolation Methods. Quarterly Journal of Science Kharazmi University. 2005; 18 (51) :243-250
URL: http://jsci.khu.ac.ir/article-1-1149-en.html
Abstract:   (3772 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.
Full-Text [PDF 172 kb]   (1450 Downloads)    

Published: 2005/05/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Quarterly Journal of Science Kharazmi University

Designed & Developed by : Yektaweb