# d3-spring-model
This module implements Chalmers' 1996 Neighbour and Sampling algorithm for drawing the force-directed layouts. It is a linear time algorithm that uses stochastic sampling to find the best neighbours for high-dimensional data and creates the layout in 2 dimensions.
Neighbour and Sampling algorithm is useful for producing visualizations that show relationships between the data. For instance:


### Authors
Remigijus Bartasius and Matthew Chalmers
### Reference
- Chalmers, Matthew. ["A linear iteration time layout algorithm for visualising high-dimensional data."](http://dl.acm.org/citation.cfm?id=245035) Proceedings of the 7th conference on Visualization'96. IEEE Computer Society Press, 1996.
## Usage
Download the [latest release](https://git.win32exe.tech/brian/d3-spring-model/releases) and load one of Javascript file alongside [D3 4.0](https://github.com/d3/d3).
```html
```
## API Reference
#### NeighbourSampling
The Neighbour and Sampling algorithm tries to group the nodes based on the distance between them. If the nodes have a low distance, then the force attracts them to each other. If the nodes have a high distance, then the repulsive force pushes them further apart from each other.
In order for it to work properly, a distance function should be specified.
# d3.forceNeighbourSampling() [<>](src/neighbourSampling.js "Source")
Initializes the Neighbour and Sampling algorithm with default parameters.
# neighbourSampling.id([id]) [<>](src/neighbourSampling.js#L218 "Source")
If *id* is specified, sets the node id accessor to the specified function and returns this force. If *id* is not specified, returns the current node id accessor, which defaults to the numeric *node*.index:
```js
function id(d) {
return d.index;
}
```
The id accessor is invoked for each node whenever the force is initialized, as when the nodes change, being passed the node and its zero-based index.
# neighbourSampling.distance([distance]) [<>](https://github.com/sReeper/d3-neighbour-sampling/blob/master/src/neighbourSampling.js#L230 "Source")
If *distance* is specified, sets the distance accessor to the specified number or function, re-evaluates the distance accessor for each link, and returns this force. If *distance* is not specified, returns the current distance accessor, which defaults to:
```js
function distance() {
return 300;
}
```
# neighbourSampling.neighbourSize([neighbourSize]) [<>](src/neighbourSampling.js#L222 "Source")
If *neighbourSize* is specified, sets the neighbour set size to the specified number and returns this force. If *neighbourSize* is not specified, returns the current value, which defaults to 6.
# neighbourSampling.sampleSize([sampleSize]) [<>](https://github.com/sReeper/d3-neighbour-sampling/blob/master/src/neighbourSampling.js#L226 "Source")
If *sampleSize* is specified, sets the sample set size to the specified number and returns this force. If *sampleSize* is not specified, returns the current value, which defaults to 3.
# neighbourSampling.stress() [<>](https://github.com/sReeper/d3-neighbour-sampling/blob/master/src/neighbourSampling.js#L234 "Source")
Returns the stress of the layout.
# neighbourSampling.velocity() [<>](https://github.com/sReeper/d3-neighbour-sampling/blob/master/src/neighbourSampling.js#L238 "Source")
Returns the average velocity of the iteration.