تقييم طرق الاشتقاق المكاني لتقدير كمية الأمطار في نظم المعلومات الجغرافية: دراسة تطبيقية على منطقة المدينة المنورة في المملكة العربية السعودية

الملخص EN

The study of the spatial Interpolation of rain is an important aspect of climatic and hydrological studies, especially as it relates to projects related to the development of the country.

Perhaps one of the most important problems related to rain studies within the climate studies is the inability of meteorological stations to cover large areas in Saudi Arabia enough, including the Medina.

The ArcGIS program allows for mapping rain-equality by interpolation of areas not covered by rain.

The interpolation process involves several different application methods that vary in accuracy depending on the variance of the input data and the arithmetic methods of each model.

Significant for the actual Interpolation of rainfall.

This study was based on the inductive approach to achieve the objectives of the study, which seeks to evaluate three methods of spatial Interpolation methods within ArcGIS: IDW, Kriging and Spline for rain studies through several interrelated applications.

To estimate the general error of the derived values, the researcher used RMSEZ (Root-mean-square standardized errors RMSSE) and then calculated the validity of the Interpolation at % 95confidence level.

The study found that the method of IDW was the best of the three methods in the of spatial Interpolation of rainfall.

The overall error value of the RMSE index was (13.2) mm while the mean value of the Interpolation was (25.9) mm, meaning that the Interpolation value would be correct for the actual data within the range of (25.9) mm and (25.9) mm.

Geographical Information Systems - spatial Interpolation - Spatial Analysis - Root-mean-square standardized errors RMSSE.