orx-hash-grid
A 2D space partitioning for points.
Usage
orx-hash-grid provides the classes HashGrid and Cell, in most cases only HashGrid is used.
Create a hash grid for a given radius.
val grid = HashGrid(radius)
Check for a given query point if the grid is free, i.e. there is no point in the grid at distance less than radius away from the
query point.
grid.isFree(query)
Add a point to the hash grid structure:
grid.insert(point)
Iterate over all points in the hash grid:
for (point in grid.points()) {
// do something with point
}
Extensions to standard library
orx-hash-grid provides short-hand extension functions to List<Vector2>
fun List<Vector2>.filter(radius: Double) : List<Vector2>
filters the points in the list such that only points with an inter-distance of radius remain.
val points = (0 until 10_000).map { drawer.bounds.uniform() }
val filtered = points.filter(20.0)
fun List<Vector2>.hashGrid(radius: Double) : HashGrid
constructs a (mutable) HashGrid containing all points in the list.
val points = (0 until 10_000).map { drawer.bounds.uniform() }
val hashGrid = points.hashGrid(20.0)
References
orx-noiseusesHashGridto generate Poisson distributed points. Link

