interpolation routine is DAYMET, which in its current form is not able to update its database for periods of less than a year. In … providing daily updated weather data for online daily weather interpolations across regions. We re-implement the interpolation … used in two possible interpolation routines, assess the error bounds using an independent validation dataset and compare …

. A comparative analysis of interpolation techniques like Inverse Distance Weighted, Polynomial, Splines, Ordinary Kriging ….1), Splines (RMSE 392.4), Inverse Distance Weighted (RMSE 409.8) and Polynomial Interpolation (RMSE 418.5). Cross validation of …

three interpolation methods, concerning their suitability for spatial prediction of temporal trends of Turkey’s monthly and … Spline interpolation methods were employed and compared. A comparative analysis of interpolation techniques shows that …, the Ordinary Kriging method was concluded to be the best algorithm in the interpolation process. Copyright Springer …

The objective of this paper is to evaluate four interpolation methods, concerning their suitability for spatial … elevation data was incorporated into the interpolation process. The modified methods were named residual kriging (RK), and … gradient-plus-inverse distance squared (GIDS). Apart from interpolation methods, two different approaches were studied in order …

Univariate cubic L 1 splines provide C 1 -smooth, shape-preserving interpolation of arbitrary data, including data with …

, based on interpolation techniques, that is robust and efficient, that treats the "near barrier" problem for double barrier …

-preserving interpolation of arbitrary data, including data with abrupt changes in spacing and magnitude. The minimization principle for …