عنوان	Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	Spatial copula function; Random eld; Max-id copulas.
چکیده	One of the most useful tools for handling multivariate distributions of de- pendent variables in terms of their marginal distribution is a copula function. The copula families capture a fair amount of attention due to their applicability and exibility in describing the non-Gaussian spatial dependent data. The particular properties of the spatial copula are rarely seen in all the known copula families. In the present paper, based on the weighted geometric mean of two Max-id copulas family, the spatial copula function is provided. Afterwards, the proposed copula along with the Bees algorithm is used to explore the spatial dependency and to interpolate the rainfall data in Iran's Khuzestan province.
پژوهشگران	مهدی امیدی (نفر اول)، محسن محمدزاره (نفر دوم)