FRESENIUS ENVIRONMENTAL BULLETIN, cilt.25, sa.2, ss.464-489, 2016 (SCI-Expanded)
Spatial interpolation methods are frequently used to estimate values of meteorological data in locations where they are not measured. The correct determination of the spatial distribution of meteorological variables is as important as their measurement. Although there are several methods to perform this, it can be difficult to determine which one best reproduces actual condition. Many factors may affect the performance of the spatial interpolation methods.