عنوان مقاله [English]
Among the climatic parameters, Rainfall reveal multiple and complex behavior for this reason, researchers have been special attention to that. For years, environmental sciences researchers have focused from classical statistics to spatial statistics. For this reason, climatologists should also become familiar with the basics of this science and put analytical functions as the foundation of their studies. In this study, using modern techniques such as Spatial Auto-correlation, Global Moran's Index, Local Moran's I index, and Hotspots, behavior of seasonal rainfall is presented in the form of several statistics. Statistical analysis showed that the highest coefficient of variation of rainfall (267.5) is related to summer season that is approved by the peaking factor and Getis-OrdGi. Based on the dispersion index, the highest spatial anomaly is related to the summer and autumn seasons. According to the cluster and outlier analysis, the largest cluster of Iranian's rainfall is created in winter that represents the relative order of rainfall in Iran. Spatial statistical results also showed that the intra-year variation of rainfall in Iran follows from high cluster pattern. According to the Local Moran's I index, and Hotspots analysis, rainfall on the shore of the Caspian Sea and the West and South West of Iran (mainly Zagros mountains) has a positive spatial auto-correlation (clusters of rainfall with high value) and In parts of central and southern parts of Iran and East Central regions has the negative spatial auto-correlation (clusters of precipitation with low value).