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splat-points

1.0.0
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  • License MIT

Splat a sparse set of points onto an ndarray

Package Exports

  • splat-points

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (splat-points) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

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