val inverse_distance_to_a_power : power:float ‑> smoothing:float ‑> anisotropy_ratio:float ‑> anisotropy_angle:float ‑> radius:(float * float) ‑> angle:float ‑> points:(int * int) ‑> no_data_value:float ‑> interpolate_tval moving_average : radius:(float * float) ‑> angle:float ‑> min_points:int ‑> no_data_value:float ‑> interpolate_tval nearest_neighbor : radius:(float * float) ‑> angle:float ‑> no_data_value:float ‑> interpolate_ttype metric_t = radius:(float * float) ‑> angle:float ‑> min_points:int ‑> no_data_value:float ‑> interpolate_tval metric_minimum : metric_tval metric_maximum : metric_tval metric_range : metric_tval metric_count : metric_tval metric_average_distance : metric_tval metric_average_distance_points : metric_tval make : interpolate_t ‑> (float * float * float) list ‑> xrange:(int * float * float) ‑> yrange:(int * float * float) ‑> ('v, 'e) Band.Data.t ‑> ('v, 'e, Bigarray.c_layout) Bigarray.Array2.tmake interp points ~xrange ~yrange kind interpolates the data in
points onto a regular grid specified by xrange and yrange.
(x, y, z) triples.(steps, min, max) triple.(steps, min, max) triple.