Running S.W.,R.R.Nemaini,R.D.Hungerford, Extrapolation of synoptic meteorological data in mountainous terrain and its use simulating forest evapotranspiration rate and photosynthese, Canadian Journal of Forest Research, 1987, 17,472~483.
[2]
Husar R.B., Falke S.R., Uncertainty in the spatial interpolation of PM10 monitoring data in Southern California, http://capita.wustl.edu/capita/capitareports/cainterp/cainterp.html.
Lam,N., Spatial Interpolation Methods: A Review, The American Cartographer 1983，10(2):129~149.
[7]
Price D.T.,et.al., A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data, Agricultural and Forest meteorology, 2000, 10(1)：81~94.
[8]
Collins F.C. A comparison of spatial interpolation techniques in temperature estimation, http://www.ncgia.ucsb.edu/conf/santa fe cd-rom/sf papers/collins fred/collins.html,1999.
Dubrule, Oliver, Two methods with different objectives: Splines and Kriging, Mathematical Geology, 1983,15（2）：245~257.
[11]
Puente, Carlos E., and Rafael L. Bras, Disjunctive Kriging, universal kriging, or no kriging: Small sample results with simulated fields, Mathematical Geology, 1986, 18（3）：287~305.
[12]
Phillips, E.L., J.Dolph, and D.Marks, “A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain”, Agricultural and Forest Meterology, 1992, 58,119~141.
[13]
Legates,D.R. and C.J.Willmont, Mean Seasonal and Spatial Variability in Global Surface Air Temperature, Theor. Appl. Climatol., 1990, 41, 11~21.
[14]
Shepard,D.L., A two dimensional interpolation function for irregularly spaced data. Proc. 23rd Nat. Conf., Assoc. Computing Machinery, ACM, Washington, 1968, 517~524.
[15]
Robeson,S.M., Spatial Interpolation, Network Bias, and Terrestrial Air Temperature Variability, Publications in Climatology, C.W. Thornthwaite Associates Laboratory of Climatology, 1993,51~52.
