splat-points

Splats a sparse set of points into an ndarray using a Dirichlet kernel. If you want some alternative kernel to filter them after the fact, you can apply a convolution to the resulting array as a post process.

Example

var ndarray = require('ndarray')
var splat   = require('splat-points')
var zeros   = require('zeros')
var show    = require('ndarray-show')
 
var points  = ndarray([
  0, 0,
  80, 50,
  0.3, 76,
  100, 22.3
], [4,2], [2,1])
 
var grid = splat(zeros([128, 128]), points)
 
show(grid)

API

require('splat-points')(out, points[, weights, radius])

Splats a sparse set of points onto an array using a Dirichlet kernel.

• out is the array which is splatted onto
• points is an n-by-d dimensional ndarray of points
• weights is an array of weights (either an ndarray or a flat)
• radius is the radius of the points to splat

Returns out

License

(c) 2015 Mikola Lysenko. MIT License