Description Usage Arguments Details Author(s) Examples
Interpolation of point velocities with the inverse distance weighted method.
1 |
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. |
sit |
matrix of coordinates of points, were the estimation should be done |
Number of neighbouring points from that the interpolation is done = 3, the neighbourhood of estimated point is assumed elliptical. Parameter beta = 1. 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)
inv_dis_w(my_data, mesh)
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