A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: The interaction between number of guiding variables and the type of interpolation method

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Recent changes in the distribution of a marine gastropod, Patella rustica Linnaeus, 1758, and their relationship to unusual climatic events (2006, methodology): “Each cell was derived from the 12 nearest data points using the distance squared weighting algorithm (Jarvis & Stuart, 2001).”
A Practical Guide to Geostatistical Mapping (2009, background): “Regression-kriging of climatic variables, especially the ones derived from DEMs, is now favoured in many 2 climatologic applications (Jarvis and Stuart, 2001; Lloyd, 2005).”
Comparison of six methods for the interpolation of daily, European climate data (2008, background): “Many studies have found that universal kriging is one of the best interpolation methods for both mean precipitation and temperature [e.g., Attorre et al., 2007], as well as daily climate variables [ Jarvis and Stuart, 2001; Stahl et al., 2006].”