Spatial prediction for real data using kriging technique
Author
Source
Iraqi Journal of Statistical Science
Issue
Vol. 15, Issue 27 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2018-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
This study investigates the prediction of unstable random spatial process using the Ordinary Kriging technique, based on the variogram function Y(X,Y) in finding out the predictors, and the universal multivariate technique, which has been applied by computing the Cross Variogram Function.
Practically, the data were taken from a geological study conducted in the Department of Geography, Faculty of Education, Mosul University.
The study includes the height levels of (40) oil wells in Kirkuk.
We discovered out the estimation of the Variogram and Cross the Variogram functions as well as the Mean Squared Error (MSE).
Most of the results have been presented in tables and figures and the results were generally good, acceptable and close to reality,Our results showed that the overall Kriging technique or technique that was computed by the Cross Variogram Function was better than the Ordinary Kriging technique or technique based on the variogram function.
American Psychological Association (APA)
Dhannun, Shayma Riyad. 2018. Spatial prediction for real data using kriging technique. Iraqi Journal of Statistical Science،Vol. 15, no. 27, pp.1-11.
https://search.emarefa.net/detail/BIM-853660
Modern Language Association (MLA)
Dhannun, Shayma Riyad. Spatial prediction for real data using kriging technique. Iraqi Journal of Statistical Science Vol. 15, no. 27 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-853660
American Medical Association (AMA)
Dhannun, Shayma Riyad. Spatial prediction for real data using kriging technique. Iraqi Journal of Statistical Science. 2018. Vol. 15, no. 27, pp.1-11.
https://search.emarefa.net/detail/BIM-853660
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 10-11
Record ID
BIM-853660