Grid (Inverse distance to a power) ================================== Description ----------- The Inverse Distance to a Power gridding method is a weighted average interpolator. You should supply the input arrays with the scattered data values including coordinates of every data point and output grid geometry. The function will compute interpolated value for the given position in output grid. Parameters ---------- ``Input layer`` [vector: point] Point vector layer ``Z field`` [tablefield: numeric] Field for the interpolation (*Optional*). ``Power`` [number] Weighting power Default: *2.0* ``Smothing`` [number] Smoothing parameter Default: *0.0* ``Radius 1`` [number] The first radius (X axis if rotation angle is 0) of search ellipse Default: *0.0* ``Radius 2`` [number] The second radius (Y axis if rotation angle is 0) of search ellipse Default: *0.0* ``Max points`` [number] Maximum number of data points to use. Do not search for more points than this number. If less amount of points found the grid node considered empty and will be filled with NODATA marker Default: *0.0* ``Min points`` [number] Minimum number of data points to use. If less amount of points found the grid node considered empty and will be filled with NODATA marker Default: *0.0* ``Angle`` [number] Angle of ellipse rotation in degrees. Ellipse rotated counter clockwise. Default: *0.0* ``Nodata`` [number] No data marker to fill empty points Default: *0.0* ``Output raster type`` [selection] Raster file type Options: * 0 --- Byte * 1 --- Int16 * 2 --- UInt16 * 3 --- UInt32 * 4 --- Int32 * 5 --- Float32 * 6 --- Float64 * 7 --- CInt16 * 8 --- CInt32 * 9 --- CFloat32 * 10 --- CFloat64 Default: *5* Outputs ------- ``Output file`` [raster] Interpolated raster file Console usage ------------- :: processing.runalg('gdalogr:gridinvdist', input, z_field, power, smothing, radius_1, radius_2, max_points, min_points, angle, nodata, rtype, output) See also -------- `GDAL grid tutorial `_