Precipitation is an important factor in the management of a variety of agricultural and industrial projects. This study investigated the temporal-spatial change of inter-annual precipitation of Iran from 1977 to 2007 by using the APHRODITE precipitation database. Statistical methods were applied, such as spatial auto-correlation, Global Moran's index, Local Moran's I index, and hotspots to acquire the variations in precipitation. The highest spatial anomalies belong to September (75.26) and October (45.02), based on the Dispersion index. Also, the size of the largest cluster of Iran's precipitation clusters is developed during winter, cited by the index's outputs, which indicates the relative regularity of Iran's precipitation. The results of the spatial statistics showed that inter-annual precipitation changes in Iran have an upward cluster model. The results of the Global Moran statistics showed that September, with the lowest number (0.712114), has the highest spatial precipitation anomalies throughout the year in Iran. Meanwhile, precipitation has a positive spatial autocorrelation on the Caspian Sea shores and western and south-western parts of the country (mainly Zagros highlands) and a negative spatial autocorrelation in parts of the central and south-eastern areas based on the Local Moran index and hotspots.

降水是管理各种农业和工业项目的重要因素。本研究利用APHRODITE降水数据库调查了1977年至2007年伊朗年际降水的时空变化。应用了统计方法，例如空间自相关，Global Moran指数，Local Moran I指数和热点来获取降水量的变化。根据色散指数，最高的空间异常属于9月（75.26）和10月（45.02）。而且，该指数的输出结果表明，伊朗最大的降水团簇的规模在冬季形成，这表明了伊朗降水的相对规律性。空间统计的结果表明，伊朗的年际降水变化具有向上的聚类模型。全球Moran统计数据的结果显示，伊朗9月的降雨量最低（0.712114），是全年中最高的。同时，根据当地的Moran指数，里海沿岸以及该国的西部和西南部分（主要是Zagros高地）的降水具有正的空间自相关，而在中部和东南部的部分地区的降水具有负的空间自相关。热点。