Description Usage Arguments Details Author(s) Examples
Interpolation of point velocities with the ordinary kriging.
1 | ord_kriging(data, mesh)
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data |
Data must be in format: data.frame. In data there must be columns: Loc, Depth, MeasD, Vel. Means: Loc - "x" location of point from the bank of the stream [meters], Depth - depth of vertical of measuring point [meters], MeasD - depth of measuring point in vertical [meters], Vel - measured point velocity [m*s^(-1)]. Gauging verticals must be in order from the lowest value of "x" location to highest "x" location or from the highest value of "x" location to the lowest value of "x" location. |
mesh |
matrix with coordinates of points, where the estimation of velocities by the interpolation should be done. |
Gauss type of the theoretical semivariogram is used, nugget = 0.01, sill = 5, range = 0.48. Number of neighbouring points from that the interpolation is done is 8. In the intersection of measured verticals and the water surface the velocity is assumed equal to the velocity of the top measured point velocity. The "coordinates" of measured points' depths are transformed to cartesian coordinates with yero in the river surface and the minus values heading to the stream bed. #———
Eliška Friedlová (Hasníková)
1 2 3 | grid_size = 0.1
mesh = sit_sample(data_02, grid_size)
ord_kriging(my_data, mesh)
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