| Title |
Universal kriging for spatio-temporal data |
| Translation of Title |
Universalaus krigingo taikymas erdvės-laiko duomenims. |
| Authors |
Lesauskienė, E ; Dučinskas, K |
| DOI |
10.3846/13926292.2003.9637230 |
| Full Text |
|
| Is Part of |
Mathematical modelling and analysis = Matematinis modeliavimas ir analizė : mokslo darbai.. Vilnius. 2003, vol. 8, no. 4, p. 283-290.. ISSN 1392-6292. eISSN 1648-3510 |
| Keywords [eng] |
spatio‐temporal random process ; nonseparable and separable covariance functions ; universal kriging ; temporal independence ; seasonal average model |
| Abstract [eng] |
In this article we have used wide applicable classes of spatio‐temporal nonseparable and separable covariance models. One of the objectives of this paper is to furnish a possibility how to avoid the usage of complicated covariance functions. Assuming regression model for mean function the analytical expressions for the optimal linear prediction (universal kriging) and mean squared prediction error (MSPE) was obtained. Parameterized spatio‐temporal covariance functions were fitted for the real data. Prediction values and MSPE were presented. For visualization of results on graphics are used free available software Gstat. |
| Published |
Vilnius |
| Type |
Journal article |
| Language |
English |
| Publication date |
2003 |
| CC license |
|
