1. Ageena, I., Macdonald, N., Morse, A. P. (2013), Variability of maximum and mean average temperature across Libya (1945–2009). Theoretical and Applied Climatology, pp.115. 2. Alijani, B, Ghavidel Rahimi, J. (2005), comparing the temperature changes of Tabriz with temperature anomalies of the Earth using linear regression and neural network, Geography and Development, 6, pp. 2138. (in Persian). 3. Anselin, L, Syabri I., Kho, Y. (2009), Geo Da: an introduction to spatial data analysis. In Fischer MM, Getis A (Eds) Handbook of applied spatial analysis. Springer, Berlin, Heidelberg and New York, pp. 7389. 4. Azizi, G., Roushani, M. (2008), Using MannKendall test to recognize of climate change in Caspian Sea southern coasts, Geographical Researches Quarterly, No. 64, pp. 1318. (in Persian). 5. Bajat, B., Blagojević, D., Kilibarda, M., Luković, J., Tošić, I. (2014), Spatial analysis of the temperature trends in Serbia during the period 1961–2010. Theoretical and Applied Climatology, pp.113. 6. BenGai, T., Bitan, A., Manes, A., Alpert, P., Rubin, S. (1999),Temporal and spatial trends of temperature patterns in Israel, Theoretical and Applied Climatology, 64, pp.163177. 7. Braganza, K., Karoly, D.J., Arblaster, J. M. (2004), Diurnal temperature range as an index of global climate change during the twentieth century, Geophysical Research Letters, 31, L13217. 8. Charlton, M., Lu, B., Fotheringham, A. S. (2011), Geographically weighted regression using a non–euclidean distance metric with a study on london house price data. Procedia Environmental Sciences 7, pp.92–97. 9. De Lucena, A. J., Rotunno Filho, O. C., de Almeida França, J. R., de Faria Peres, L., Xavier, L. N. R. (2013), Urban climate and clues of heat island events in the metropolitan area of Rio de Janeiro. Theoretical and applied climatology, 111(34), pp. 497511. 10. Del Río, S., Herrero, L., PintoGomes, C., Penas, A. (2011), Spatial analysis of mean temperature trends in Spain over the period 1961–2006. Global and Planetary Change, 78(1), pp. 6575. 11. Getis, A., Aldstadt, J. (2004), Constructing the spatial weights matrix using a local statistic. Geogr Anal 36(2), pp. 90104. 12. Ghahraman, B. (2006), Time trend in the mean annual temperature of Iran. Turk J Agric For 30, pp. 439–448. 13. Griffith, D. (1987), Spatial Autocorrelation: A Primer. Resource Publication in Geography, Association of American geographers. 14. Hasanean, H.M. (2001), Fluctuation of surface air temperature in the eastern Mediterranean, Theoretical and Applied Climatology, 68, pp. 7587. 15. Illian, J., Penttinen, A., Stoyan, H., Stoyan, D. (2008), Statistical Analysis and Modelling of Spatial Point Patterns, John Wiley and Sons, Chichester, irrigation area, Australia, Progress in Natural Science, Vol. 19, Issue 12, pp.1773 1779. 16. Jacquez GM, Greiling DA. (2003), Local clustering in breast, lung and colorectal cancer in Long Island, New York. Int J. Health Geographic, 2:3. 17. Jolliffe, I.T. A. Philipp, (2010), Some Recent Developments in Cluster Analysis, Physics and Chemistry of the Earth, Parts A/B/C, Vol. 35, Issues 9 12, pp. 309 315. 18. Kaas, E., Frich, P. (1995), Diurnal temperature range and cloud cover in the Nordic countries: observed trends and estimates for the future, Atmospheric Research, 37, pp.211228. 19. Kendall, W. S. (1998), Perfect simulation for the areainteraction point process. In L. Accardi and C.C. Heyde, editors, Probability Towards 2000, Springer Lecture Notes in Statistics 128, pp.218–234. 20. Kim, K.S. (1990), Industrialization process, employment and income distribution in Mexico, issues and strategies (Working Paper Number 131, January 1990).University of Notre Dame, The Helen Kellogg Institute for International Studies: https://kellogg.nd.edu/publications/workingpapers/WPS/131.pdf. 21. Kim, S., Singh, V. P. (2014), Modeling daily soil temperature using datadriven models and spatial distribution. Theoretical and Applied Climatology, pp. 115. 22. Kousari M.R., Ekhtesasi M.R., Tazeh M., Saremi Naeini M.A., Asadi Zarch M.A., (2010), An investigation of the Iranian climatic changes by considering the precipitation, temperature, and relative humidity parameters, Theoretical and Applied Climatology, 103, pp.321335. (in Persian). 23. Kundzewicz, Z. C., Giannakopoulos, M., Schwarb, I., Stjernquist, M., Szwed, J. (2008), Palutikof, Impacts of climate extremes on activity sectors – stakeholders’ perspective, Theoretical and Applied Climatology, 93, pp. 117 132. 24. Lu, B., Charlton, M., Fotheringham, A. S. (2011), Geographically weighted regression using a non– euclidean distance metric with a study on London house price data, Procedia Environmental Sciences, 7, pp. 92–97. 25. Lu, B., Charlton, M., Harris, P. (2014), Geographically weighted regression with a non–Euclidean distance metric: a case study using hedonic house price data. International Journal of Geographical Information Science 28(4), pp.660–681. 26. Masoodian, S. A. (2005), The trend of temperatures in the last half century, Physical Geography, Issue 54, pp. 4529. (in Persian). 27. Mitchell, A. (2005), The ESRI guide to GIS analysis, spatial measurements and statistics, ESRI, Redlands [CA]. 28. Mohammadi, H. (2011), Urban Climatology, Tehran University Press, Tehran. (in Persian). 29. Moller, j. (2008), Handbook of Spatial Statistics, John Wiley and Sons, Chichester, pp. 3745. 30. Nemec, J., Gruber, C., Chimani, B., Auer, I. (2013), Trends in extreme temperature indices in Austria based on a new homogenised dataset. International Journal of Climatology, 33(6), pp.15381550. 31. Razmi R., Balyani S., Mansouri Daneshvar, M.R. (2017), Geostatistical modeling of mean annual rainfall over the Iran using ECMWF database. Spatial Information Research DOI: 10.1007/s4132401700973. 32. Rogerson, P.A. (2006), Statistics Methods for Geographers: students Guide, SAGE Publicationsو Los Angeles, California. 33. Smadi, M.M. (2006), Observed abrupt changes in minimum and maximum temperatures in Jordan in the 20th century, Am. J. Environ. Sci. 2 (3), pp.114–120. 34. Smith, M. J., Goodchild, M. F., Longley, P. A. (2006), Geospatial analysis. Troubador, Leicester. 35. Solow, A. R. (1987), testing for climate change: an application of the twophase regression model, Journal of Climate and Applied Meteorology, 26, pp.14011405. 36. Soltani, E., Soltani, A. (2008), Climatic change of Khorasan, NorthEast of Iran, during 1950–2004. Res. J. Environ. Sci. 2 (5), pp.316–322. 37. Sun, W., Zhu, Y., Huang, S., Guo, C. (2015), Mapping the mean annual precipitation of China using local interpolation techniques. Theor Appl Climatol. 119, pp.171–180. 38. Tabari, H., Maroﬁ, S., Hosseinzadeh Talaee. (2011). Recent trends of mean maximum and minimum air temperatures in the western half of Iran, Meteorol Atmos Phys, 111, pp.121–131. 39. Tavousi, T; rakhshani, Z. and Firuzi, F. (2014),The trend analysis of seasonal and annual temperature maximum and minimum Fars province using nonparametric methods, Journal of Niwar, No. 8786, pp. 3929.(in Persian). 40. Wheeler D, Paéz. (2009), Geographically Weighted Regression. In Fischer MM, Getis A (Eds) Handbook of applied spatial analysis. Springer, Berlin, Heidelberg and New York, pp.461486. 41. Wheeler D. (2007), A comparison of spatial clustering and cluster detection techniques for childhood leukemia incidence in Ohio, 19962003. Int J Health Geographics 6(1), pp.13. 42. Zhang C, Luo L, Xu W, Ledwith V. (2008), Use of local Moran’s I and GIS to identify pollution hotspots of Pb in urban soils of Galway, Ireland. Sci Total Environ 398 (13), pp.212221. 43. Zhou, D. (2009), Climatic Regionalization Mapping of the Murrumbidgee irrigation area, Australia, Progress in Natural Science, Vol. 19, Issue 12, pp. 1773 1779.
