https://github.com/mikolalysenko/splat-points

Splats a sparse set of points into an ndarray
https://github.com/mikolalysenko/splat-points

Last synced: 24 days ago
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Splats a sparse set of points into an ndarray

• Host: GitHub
• URL: https://github.com/mikolalysenko/splat-points
• Owner: mikolalysenko
• License: mit
• Created: 2015-05-04T20:20:12.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-05-04T20:24:14.000Z (over 9 years ago)
• Last Synced: 2024-12-16T22:35:42.571Z (27 days ago)
• Language: JavaScript
• Size: 109 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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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

```javascript

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