Rainfall Spatial Estimations: A Review from Spatial Interpolation to Multi-Source Data Merging
نویسندگان
چکیده
منابع مشابه
Spatial Interpolation Using Copula for non-Gaussian Modeling of Rainfall Data
‎One of the most useful tools for handling multivariate distributions of dependent 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 flexibility in describing the non-Gaussian spatial dependent data‎. ‎The particular properties of the spatial copula are rarely ...
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Interpolation methods are an important part in a geographical information system (GIS) and have been used for years to model elevation data. They are crucial in the visualisation process (generation of contours), for the conversion of data from one format to another, to have a better understanding of a dataset or simply to identify bad samples. The result of interpolation—usually a surface that...
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ژورنال
عنوان ژورنال: Water
سال: 2019
ISSN: 2073-4441
DOI: 10.3390/w11030579