| Since | 20.0 |
This node generates point clouds based on the chaotic map formulas (sometimes known as attractors). It can also create color and pscale attributes based on normalized point density.
The currently supported chaotic maps include Clifford Attractors and Peter de Jong Attractors.
Note
The original formulas only define the X and Y positions. For the Z position, we use our own formula.
パラメータ ¶
Constants Presets
A list of chaotic map types and their respective constant variations. When you are in the Manual mode, the output is determined by the map type and your custom constant values.
Reset Constants
Resets the constants back to the current preset values.
Point Count
The total number of points to generate.
Compute Normalized Density
The density is equal to the number of points found in Search Distance divided by Maximum Search Points. The output range is 0-1.
Point Density ¶
Density Attribute
The name of the density attribute.
Search Distance
Each point looks for neighbour points within this radius.
Maximum Search Points
The maximum number of neighbour points for each point to search for.
Point Color ¶
Add Color by Density
Creates a color attribute based on the computed density.
Color Ramp
The color spectrum is mapped to the 0-1 range of the density attribute.
Point Radius ¶
Add Pscale by Density
Creates a pscale attribute based on the computed density.
Pscale at Min Density
The pscale when density equals 0.
Pscale at Max Density
The pscale when density equals 1.
Display as Spheres
Display points as spheres in the viewport. This sets the detail attribute gl_spherepoints to 1.
