Reference

euclidean_dist(p1, p2)

Return the Euclidean distance between two points.

interpolate_dnn(points, values, ranges; verbose=nothing)

Evaluate the discrete natural neighbor interpolation of points (size (N, n)) with values (size (N,)) on a regular grid (mesh) defined by ranges (list of n ranges). If keyword argument verbose is unspecified, default to no output for 2D interpolation, and progress bar for higher dimensions; change by setting to true or false.

interpolate_dnn_2D(points, values, (xRange, yRange))

Evaluate the 2D discrete natural neighbor interpolation of points (size (N, 2)) with values (size (N,)) on a regular grid (mesh) defined by xRange and yRange.

interpolate_dnn_2D_(points, values, (xRange, yRange))

Evaluate the 2D discrete natural neighbor interpolation of points (size (N, 2)) with values (size (N,)) on a regular grid (mesh) defined by xRange and yRange. Progress is displayed during the calculation.

interpolate_dnn_3D(points, values, (xRange, yRange, zRange))

Evaluate the 3D discrete natural neighbor interpolation of points (size (N, 3)) with values (size (N,)) on a regular grid (mesh) defined by xRange, yRange and zRange.

interpolate_dnn_3D_(points, values, (xRange, yRange, zRange))

Evaluate the 3D discrete natural neighbor interpolation of points (size (N, 3)) with values (size (N,)) on a regular grid (mesh) defined by xRange, yRange and zRange. Progress is displayed during the calculation.

interpolate_dnn_ND(points, values, ranges)

Evaluate the nD discrete natural neighbor interpolation of points (size (N, n)) with values (size (N,)) on a regular grid (mesh) defined by ranges (list of n ranges).

interpolate_dnn_ND_(points, values, ranges)

Evaluate the nD discrete natural neighbor interpolation of points (size (N, n)) with values (size (N,)) on a regular grid (mesh) defined by ranges (list of n ranges). Progress is displayed during the calculation.