3.4 KiB
orx-hash-grid
2D space partitioning for fast point queries.
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
Demos
DemoFilter01
The program performs the following steps:
- Generates 10,000 random points uniformly distributed within the drawable bounds.
- Filters the generated points to enforce a minimum distance of 20.0 units between them.
- Visualizes the filtered points as circles with a radius of 10.0 units on the canvas.
DemoFilter3D01
This demo sets up and renders a 3D visualization of filtered random points displayed as small spheres.
The program performs the following key steps:
- Generates 10,000 random 3D points within a ring defined by a minimum and maximum radius.
- Filters the points to ensure a minimum distance between any two points using a spatial hash grid.
- Creates a small sphere mesh that will be instanced for each filtered point.
- Sets up an orbital camera to allow viewing the 3D scene interactively.
- Renders the filtered points by translating the sphere mesh to each point's position and applying a shader that modifies the fragment color based on the view normal.
DemoHashGrid01
This demo sets up an interactive graphics application with a configurable
display window and visualization logic. It uses a HashGrid to manage points
in a 2D space and randomly generates points within the drawable area. These
points are then inserted into the grid if they satisfy certain spatial conditions.
The visual output includes:
- Rectangles representing the bounds of the cells in the grid.
- Circles representing the generated points.


