Kongsanun, C.; Chutsagulprom, N.; Moonchai, S. Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function. Mathematics2024, 12, 400.
Kongsanun, C.; Chutsagulprom, N.; Moonchai, S. Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function. Mathematics 2024, 12, 400.
Kongsanun, C.; Chutsagulprom, N.; Moonchai, S. Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function. Mathematics2024, 12, 400.
Kongsanun, C.; Chutsagulprom, N.; Moonchai, S. Spatio-Temporal Dual Kriging with Adaptive Coefficient Drift Function. Mathematics 2024, 12, 400.
Abstract
Research on spatio-temporal geostatistical modelling remains a critical challenge in numerous scientific and engineering disciplines. This work introduces a novel extension of the dual kriging the spatio-temporal dual kriging (ST-DK) whose drift functions with fixed and adaptive coefficients are established. The approach appears to be effective in modelling complex spatio-temporal dynamics, particularly when relevant auxiliary variables exert substantial influence on the target variable. To illustrate its performance, we compare the ST-DK model with the classical spatio-temporal regression kriging (ST-RK) method for estimating temperature and air pressure data across Thailand in 2018. Our findings demonstrate that both ST-DK and ST-RK models, when utilizing adaptive coefficients,
outperform their constant coefficient counterparts. Furthermore, the ST-DK method consistently exhibits superior performance compared to the ST-RK model.
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
