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Spatial interpolation can be done through either univariate methods that rely solely on the spatial structure of the data or by combining the spatial information and attribute information. Geographically weighted regression, although is used primarily in modeling the spatially varying relationships, falls within the category of combining both spatial and attribute information to interpolate unknown...
The idea of support vector machine (SVM) is to project the primal data which are not separable in the primal space into a new high dimensional feature space by a nonlinear function, so that the data can be separated in the new space correctly. But sometimes the result is not satisfied. In order to improve the accuracy, a two-layer SVM is put forward in the paper. Through mapping the primal data into...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.