Warning

Nightly releases are generated automatically from the latest source code and are intended for experimental purposes only. These builds may contain incomplete or untested features, bugs, or security vulnerabilities, and as such, are not for production use. Users should be aware that nightly releases may cause unexpected behavior, data loss, or system instability. Use of these releases is at the user's own risk, and it is advised to have adequate backups before testing. The software is provided as is with no guarantees or support.

HeatmapProperties

Type Alias HeatmapPropertiesExperimental

HeatmapProperties: {
    enabled?: boolean;
    name?: string;
    position?: number[];
    size?: number[];
    strength?: number[];
    transform?:
        | Float32Array
        | [
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
        ];
}

Experimental. May be changed in the future without notice.

Example curve for visualization of terms below:

         #####       ↑
       #########
      ###########    strength
     #############
   ################# ↓
size

        position

Type declaration

  • Optionalenabled?: boolean

    Whether this dataset should be included in the density calculation.

    true
    
  • Optionalname?: string

    Optional. Name of the heatmap.

    undefined
    
  • Optionalposition?: number[]

    Position of data points. Each set of three consecutive values is interpreted as x, y and z coordinates of a data point.

  • Optionalsize?: number[]

    Optional. Per-point range modifier. Can be used to manipulate the reach of a data point, e.g. scaled by significance.

    undefined
    
  • Optionalstrength?: number[]

    Optional. Per-point maximum density modifier. Can be used to manipulate the density at the center of a data point, e.g. scaled by significance.

    undefined
    
  • Optionaltransform?:
        | Float32Array
        | [
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
            number,
        ]

    Model matrix, can be used to match geometry transformations.

    [1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]