Abstract
Spatial Neighborhood Analysis of the Monthly Rainfall in Iran This study examines the spatial neighborhood variations (SNPV) of monthly rainfall in Iran for the period of 1975–2014. A monthly neighborhood cell variations analysis method consisting of six measurement sub-models was created on the basis of the neighborhood statistic values of monthly and seasonal precipitation; the data were the monthly and seasonal values for the period between 1975 and 2014, and were obtained from 140 stations and 38968 rainfall points. In this study, a forecast has been made to study the neighborhood pixel spatial and temporal variability of precipitation at 140 stations in Iran over the period of 39 years (1975– 2014) on monthly and seasonal basis. Mean point statistics (MPS), maximum point statistics (MXPS), minimum point statistics (MIPS), range point statistics (RPS), standard deviation point statistics (SDPS) and sum point statistics (SPS) estimate and neighborhood filter (low/high) were used to determine analysis and forecasting monthly variations.
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