Homesplat-transform API Reference - v3.10.0
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    Type Alias LodStatsData

    A LOD's measurements in columnar (struct-of-arrays) form: every field is an array index-aligned with the owning LodStats's columns.

    type LodStatsData = {
        displayMean: number[];
        displayStdDev: number[];
        histogram: number[][];
        infCount: number[];
        max: number[];
        mean: number[];
        median: number[];
        min: number[];
        nanCount: number[];
        stdDev: number[];
    }
    Index
    displayMean displayStdDev histogram infCount max mean median min nanCount stdDev
    displayMean: number[]

    Per-column arithmetic mean of the display-space values (opacity/scale/f_dc through their forward transforms, 6 significant digits; equal to mean for untransformed columns). A mean can't be mapped through a nonlinear transform after the fact, so it is accumulated per value. Infinity when a display value overflows (e.g. exp of a huge log-scale).

    displayStdDev: number[]

    Per-column population standard deviation of the display-space values (as displayMean).

    histogram: number[][]

    Per-column histogram: NUM_BINS counts over [min[i], max[i]], raw space.

    infCount: number[]

    Per-column Infinity count.

    max: number[]

    Per-column maximum (excluding NaN/Inf).

    mean: number[]

    Per-column arithmetic mean.

    median: number[]

    Per-column approximate median (from the fine histogram; error ~(max-min)/1024).

    min: number[]

    Per-column minimum (excluding NaN/Inf).

    nanCount: number[]

    Per-column NaN count.

    stdDev: number[]

    Per-column population standard deviation.

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