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  • Ahmadi SH, Sedghamiz A. 2007. Geostatistical analysis of spatial and temporal variations of groundwater level. Environmental Monitoring and Assessment 129(1-3): 277294.
  • Apaydin H, Sonmez FK, Yildirim YE. 2004. Spatial interpolation techniques for climate data in the GAP region in Turkey. Climate Research 28(1): 3140.
  • Basist A, Bell GD, Meentemeyer V. 1994. Statistical relationships between topography and precipitation patterns. Journal of Climate 7: 13051315.
  • Borga M, Vizzaccaro A. 1997. On the interpolation of hydrologic variables: formal equivalence of multiquadratic surface fitting and kriging. Journal of Hydrology 195: 160171.
  • Campling P, Gobin A, Feyen J. 2001. Temporal and spatial rainfall analysis across a humid tropical catchment. Hydrological Processes 15: 359375.
  • Caramelo L, Orgaz MDM. 2007. A study of precipitation variability in the Duero Basin (Iberian Peninsula). International Journal of Climatology 27: 327339.
  • Caruso C, Quarta F. 1998. Interpolation methods comparison. Computers and Mathematics with Applications 35(12): 109126.
  • Chiles J, Delfiner P. 1999. Geostatistics: Modeling Spatial Uncertainty. John Wiley & Sons: New York.
  • Chuan GK, Lockwood JG. 1974. An assessment of topographical controls on the distribution of rainfall in the Central Pennines. Meteorological Magazine 103: 275287.
  • Clarke BW, Wallace JK. 1999. Making Connections: Canada's Geography. Prentice Hall Ginn Publishing: Canada.
  • Collins FC. 1996. A comparison of spatial interpolation techniques in temperature estimation. Third International Conference Workshop on Integrating GIS and Environmental Modeling, 21–25 January 1996, Santa Fe, NM.
  • Costa AC, Durao R, Soares A, Pereira MJ. 2008. A geostatistical exploratory analysis of precipitation extremes in southern Portugal. REVSTAT—Statistical Journal 6(1): 2132.
  • Cressie N. 1993. Statistics for Spatial Data. John Wiley & Sons: New York.
  • Daly C, Gibson WP, Taylor GH, Johnson GL, Pasteris P. 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research 22: 99113.
  • Daly C, Kittel TGF, McNab A, Gibson WP, Royle JA, Nychka D, Parzybok T, Rosenbloom N, Taylor GH. 2000. Development of a 103-year high-resolution climate data set for the conterminous United States. In Proceedings of the 12th American Meteorological Society Conf on Applied Climatology, Asheville, TN, 249–252.
  • Dirks KN, Hay JE, Stow CD, Harris D. 1998. High-resolution studies of rainfall on Norfolk Island. Part II: Interpolation of rainfall data. Journal of Hydrology 208(3–4): 187193.
  • ESRI. 2001. ArcGIS Geostatistical Analyst: Statistical Tools for Data Exploration, Modeling, and Advanced Surface Generation. 119 pp. An ESRI White Paper. California. Redlands.
  • Georgakakos KP. 1984. A hydrologically useful station precipitation model 1. Formulation. Water Resources Research 20: 15851596.
  • Goovaerts P. 1997. Geostatistics for Natural Resources Evaluation. Oxford University Press: New York; 483.
  • Goovaerts P. 2000. Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. Journal of Hydrology 228: 113129.
  • Griffiths GA, McSaveney MJ. 1983. Distribution of mean annual precipitation across some steepland regions of New Zealand. New Zealand Journal of Science 26: 197209.
  • Haas TC. 1990. Kriging and automated variogram modeling within a moving window. Atmospheric Environment 24A: 17591769.
  • Hartkamp AD, De Beurs K, Stein A, White JW. 1999. Interpolation Techniques for Climate Variables. Geographic Information Systems Series 99-01. CIMMYT Natural Resources Group: Mexico.
  • Hevesi JA, Istok JD, Flint AL. 1992. Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: structural analysis. Journal of Applied Meteorology 31: 661676.
  • Higdon D, Swall J, Kern J. 1998. Non-stationary spatial modeling. In Bayesian Statistics 6, BernardoJM, BergerJO, DawidAP, SmithAFM (eds). Oxford University Press: Oxford, UK.
  • Hutchinson MF, Kesteven JL. 1998. Monthly mean climate surfaces for Australia, undertaken in CRES. Available at: http://cres.anu.edu.au/outputs/climatesurfaces/index.php.
  • Hutchinson MF, Nix HA, McMahon JP, Ord KD. 1996. The development of a topographic and climate database for Africa. Third International Conference Workshop on Integrating GIS and Environmental Modeling, 21–25 January 1996, Santa Fe, NM.
  • Intarakosit E, Ramirez M. 2007. GIS based modeling of odor dispersion from biosolids reuse sites. ESRI Users Group Conference, 28 October 2007, USA.
  • IPCC. 2001. Climate Change 2001: Synthesis report. Contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press: New York; 33.
  • Isaaks EH, Srivastava RM. 1989. An Introduction to Applied Geostatistics. Oxford University Press: Oxford.
  • Jackson D. 2000. Climate Change. The United Kingdom Environmental Change Network: Lancaster.
  • Johnston K, Ver Hoef JM, Krivoruchko K, Lucas N. 2001. Using ArcGIS Geostatistical Analyst. 1300 pp. ArcGIS User manual, ESRI. California. Redlands.
  • Kitanidis PK. 1997. Introduction to Geostatistics: Applications in Hydrogeology. Cambridge University Press: Cambridge.
  • Konrad C. 1996. Relationships between precipitation event types and topography in the southern Blue Ridge mountains of the southeastern USA. International Journal of Climatology 16: 4962.
  • Konrad CE. 1995. Maximum precipitation rates in the southern Blue Ridge Mountains of the southeastern United States. Climate Research 5: 159166.
  • Krivoruchko K. 2003. Analyzing the consequences of chernobyl using GIS and spatial statistics. ArcNews Fall ESRI.
  • Krivoruchko K. 2004. Introduction to Modeling Spatial Processes Using Geostatistical Analyst. ESRI Educational and Research Papers, Redland. Available at: http://www.esri.com/library/whitepapers/pdfs/intro-modeling.pdf.
  • Krivoruchko K, Gribov A. 2002. Working on nonstationarity problems in geostatistics using detrending and transformation techniques: an agricultural case study. Joint Statistical Meetings, New York city.
  • Le ND, Zidek JV. 1992. Interpolation with uncertain spatial covariance. Journal of Multivariate Analysis 43: 351374.
  • Loader C, Switzer P. 1992. Spatial covariance estimation for monitoring data. WaldenAT, GuttorpP (eds) Statistics in the Environmental & Earth Sciences: 5270 Halsted Press: New York.
  • Michaud JD, Sorooshian S. 1994. Effect of rainfall-sampling errors on simulations of desert flash floods. Water Resources Research 30(10): 27652775.
  • Nielson DR, Wendroth O. 2003. Spatial and Temporal Statistics—Sampling Field Soils and their Vegetation. Catena-Verlag: Reiskirchen, Germany; 398 pp.
  • Ninyerola M, Pons X, Roure JM. 2000. A methodological approach of climatological modelling of air temperature and precipitation through GIS techniques. International Journal of Climatology 20: 18231841.
  • Oettli P, Camberlin P. 2005. Influence of topography on monthly rainfall distribution over East Africa. Climate Research 28: 199212.
  • Park JI, Singh VP. 1996. Temporal and spatial characteristics of rainfall in the Nam River dam basin of Korea. Hydrological Processes 10: 11551171.
  • Perry M, Hollis D. 2005. The generation of monthly gridded datasets for a range of climatic variables over the UK. International Journal of Climatology 25: 10411054.
  • Phillips DL, Dolph J, Marks D. 1992. A comparison of geostatistical procedures for spatial analysis of precipitations in mountainous terrain. Agricultural and Forest Meteorology 58: 119141.
  • Prudhomme C, Reed DW. 1998. Relationships between extreme daily precipitation and topography in a mountainous region: a case study in Scotland. International Journal of Climatology 18: 14391453.
  • Prudhomme C, Reed DW. 1999. Mapping extreme rainfall in a mountainous region using geostatistical techniques: a case study in Scotland. International Journal of Climatology 19: 13371356.
  • Rivoirard J. 1994. Introduction to Disjunctive Kriging and Non-linear Geostatistics. Oxford University Press: Oxford.
  • Sahin C. 2005. Physical Geography of Turkey (in Turkish). Gunduz Publishing: Ankara; 375.
  • Sampson PD, Guttorp P. 1992. Nonparametric estimation of nonstationary spatial covariance structure. Journal of the American Statistical Association 87: 108119.
  • Scott RC. 2004. Global climates. In Geography Basics, SumnerR (ed). Salem Press: New Jersey, USA; 106114.
  • Sotter APR, Ipia AHS, Pulido JWC, Vaca WLS. 2003. Applied geostatistics to studies of environmental contamination: alternative analysis viewpoints for air pollutants in Bogotá D.C. ESRI User Conference, 7–11 July 2003.
  • Stein A, van Dooremolen W, Bouma J, Bregt AK. 1988. Cokriging point data on moisture deficit. Soil Science Society of America Journal 52: 14181423.
  • Tabios GQ, Salas JD. 1985. A comparative analysis of techniques for spatial interpolation of precipitation. Water Resources Bulletin 21(3): 365380.
  • Tatalovich Z. 2005. A comparison of thiessen-polygon, kriging, and spline models of UV exposure. University Consortium of Geographic Information Science Summer Assembly. 28 June–1 July 2005, Wyoming USA.
  • Yalcin E. 2005. Cokriging and its effect on the estimation precision. The Journal of The South African Institute of Mining and Metallurgy 105: 223228.
  • Yazici H. 2002. Geography of the Central Anatolian Region (in Turkish). Nobel Publishing: Istanbul; 99.