1- بلیانی، ی.؛ حکیمدوست، س.؛ (1393). اصول و مبانی پردازش دادههای مکانی (فضایی) با استفاده از روشهای تحلیل فضایی، چاپ اول. انتشارات آزادهپیما، تهران. 2- Aalto, J.; Pirinen, P.; Heikkinen, J.; Venelainen, A. (2013). Spatial Interpolation of Monthly Climate Data for Finland: Comparing the Performance of Kriging and Generalized Additive Models, Theoretical and Applied Climatology, 112(1-2): 99-111. 3- Beliyani, Y.; Hakimdoost, S. (2014). An Introduction to Data Processing Using Spatial Analysis Techniques, 1st ed., Azadehpeyma Co., Tehran, (In Persian). 4- Bolstad, P.V.; Swift, L.; Collins, F.; Regniere, J. (1998). Measured and Predicted Air Temperatures at Basin to Regional Scales in the Southern Appalachian Mountains, Agricultural and Forest Meteorology, 91(3-4): 161-176. 5- Cheng, K.T. (2004). Introduction to Geographic Information System, McGraw Hill, NY. 6- Choi, J.; Chung, U.; Yun, J.I. (2003). Urban-Effect Correction to Improve Accuracy of Spatially Interpolated Temperature Estimates in Korea, Journal of Applied Meteorology, 42(12): 1711-1719. 7- Chuanyan, Z.; Zhongren, N.; Guodong, C. (2005). Methods for Modelling of Temporal and Spatial Distribution of Air Temperature at Landscape Scale in the Southern Qilian Mountains (China), Ecological Modelling, 189 (1): 209-220. 8- Chung, U.; Yun, J.I. (2004). Solar Irradiance-Corrected Spatial Interpolation of Hourly Temperature in Complex Terrain, Agricultural and Forest Meteorology, 126(1): 129-139. 9- Courault, D.; Monestiez, P. (1999). Spatial Interpolation of Air Temperature According to Atmospheric Circulation Patterns in Southeast France, International Journal of Climatology, 19(4): 365-378. 10- Daly, C.; Gibson, W.P.; Taylor, G.H.; Johnson, G.L.; Pasteris, P. (2002). A Knowledge-based Approach to the Statistical Mapping of Climate, Climate Research, 22(2): 99-113. 11- Daly, C. (2006). Guidelines for Assessing the Suitability of Spatial Climate Data Sets, International Journal of Climatology, 26(6): 707-721. 12- Daly, C.; Halbleib, M.; Smith, J.I.; Gibson, W.P.; Doggett, M.K.; Taylor, G.H.; Curtis, J.; Pasteris, P. (2008). Physiographically Sensitive Mapping of Climatological Temperature and Precipitation across the Conterminous United States, International Journal of Climatology, 28(15): 2031-2064. 13- Di Luzio, M.; Johnson, G.L.; Daly, C.; Eischeid, J.K. (2008). Constructing Retrospective Gridded Daily Precipitation and Temperature Datasets for the Conterminous United States, Journal of Applied Meteorology and Climatology, 47(2): 475-497. 14- Dodson, R.; Marks, D. (1997). Daily Air Temperature Interpolated at High Spatial Resolution over a Large Mountainous Region, Climate Research, 8(1): 1-20. 15- Garen, D.C.; Marks, D. (2005). Spatially Distributed Energy Balance Snowmelt Modelling in a Mountainous River Basin, Estimation of Meteorological Inputs and Verification of Model Results, Journal of Hydrology, 315(1): 126-153. 16- Hasenauer, H.; Merganicova, K.; Petritsch, R. (2003). Validating Daily Climate Interpolations over Complex Terrain in Austria, Agricultural and Forest Meteorology, 119(1): 87-107. 17- Hattis, D.; Ogneva-Himmelberger, Y.; Ratick, S. (2012). The Spatial Variability of Heat-Related Mortality in Massachusetts, Applied Geography, 33: 45-52. 18- Hock, R. (2003). Temperature Index Melt Modelling in Mountain Areas, Journal of Hydrology, 282: 104-115. 19- Hudson, G.; Wackernagel, H. (1994). Mapping Temperature Using Kriging with External Drift: Theory and an Example from Scotland, International Journal of Climatology, 14(1): 77-91. 20- Holdaway, M.R. (1996). Spatial Modeling and Interpolation of Monthly Temperature Using Kriging, Climate Research, 6(3): 215-225. 21- Jarvis, C.H.; Stuart, N. (2001). 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, Journal of Applied Meteorology, 40(6): 1075-1084. 22- Kurzman, D.; Kadmon, R. (1999). Mapping of Temperature Variables in Israel: a Comparison of Different Interpolation Method, Climate Research, 13: 33-43. 23- Li, S.; Xie, Y.; Brown, D.G.; Bai, Y.; Hua, J.; Judd, K. (2013). Spatial Variability of the Adaptation of Grassland Vegetation to Climatic Change in Inner Mongolia of China, Applied Geography, 43: 1-12. 24- Li, X.; Cheng, G.; Lu, L. (2005). Spatial Analysis of Air Temperature in the Qinghai-Tibet Plateau, Arctic, Antarctic, and Alpine Research, 37(2): 246-252. 25- Liston, G.E.; Elder, K. (2006). A Meteorological Distribution System for High-Resolution Terrestrial Modeling (MicroMet), Journal of Hydrometeorology, 7(2): 217-234. 26- Mahdian, M.H.; Rahimi Bandarabady, S.; Sokouti, R.; Norouzi Banis, Y. (2009). Appraisal of the Geostatistical Methods to Estimate Monthly and Annual Temperature, Journal of Applied Sciences, 9(1): 128-134. 27- Nalder, I.A.; Wein, R.W. (1998). Spatial Interpolation of Climatic Normals: Test of a New Method in the Canadian Boreal Forest, Agricultural and Forest Meteorology, 92(4): 211-225. 28- Powell, J.A. (2008). Ghost Forests, Global Warming and the Mountain Pine Beetle, American Entomologist. 29- Rolland, C. (2003). Spatial and Seasonal Variations of Air Temperature Lapse Rates in Alpine Regions, Journal of Climate, 16(7): 1032-1046. 30- Samanta, S.; Pal, D.K.; Lohar, D.; Pal, B. (2012). Interpolation of Climate Variables and Temperature Modeling, Theoretical and Applied Climatology, 107(1-2): 35-45. 31- Shen, S.S.P.; Dzikowski, P.; Li, G.; Griffith, D. (2001). Interpolation of 1961-97 Daily Temperature and Precipitation Data onto Alberta Polygons of Ecodistrict and Soil landscapes of Canada, Journal of Applied Meteorology, 40(12): 2162-2177. 32- Sluiter, R. (2008). Interpolation Methods for Climate Data: Literature Review, De Bilt, Royal Netherlands Meteorological Institute (KNMI). 33- Stahl, K.; Moore, R.D.; Floyer, J.A.; Asplin, M.G.; McKendry, I.G. (2006). Comparison of Approaches for Spatial Interpolation of Daily Air Temperature in a Large Region with Complex Topography and Highly Variable Station Density, Agricultural and Forest Meteorology, 139: 224-236. 34- Thornton, P.E.; Running, S.W.; White, M.A. (1997). Generating Surfaces of Daily Meteorological Variables over Large Regions of Complex Terrain, Journal of Hydrology, 190(3): 214-251. 35- Trisurat, Y.; Shrestha, R.P.; Kjelgren, R. (2011). Plant Species Vulnerability to Climate Change in Peninsular Thailand, Applied Geography, 31(3): 1106-1114. 36- Willmott, C.J.; Matsuura, K. (1995). Smart Interpolation of Annually Averaged Air Temperature in the United States, Journal of Applied Meteorology, 34(12): 2577-2586. 37- Xia, Y.; Fabian, P.; Winterhalter, M.; Zhao, M. (2001). Forest Climatology: Estimation and Use of Daily Climatological Data for Bavaria, Germany, Agricultural and Forest Meteorology, 106(2): 87-103. 38- Xiaopeng, Q.; Liang, W.; Barker, L.; Lekiachvili, A.; Xingyou, Z. (2012). Comparison of ArcGIS and SAS Geostatistical Analyst to Estimate Population-Weighted Monthly Temperature for US Counties, Journal of Resources and Ecology, 3(3): 220-229.