ee.Reducer.percentile
Create a reducer that will compute the specified percentiles, e.g. given [0, 50, 100] will produce outputs named 'p0', 'p50', and 'p100' with the min, median, and max respectively. For small numbers of inputs (up to maxRaw) the percentiles will be computed directly; for larger numbers of inputs the percentiles will be derived from a histogram.
| Usage | Returns |
|---|
ee.Reducer.percentile(percentiles, outputNames, maxBuckets, minBucketWidth, maxRaw) | Reducer |
| Argument | Type | Details |
|---|
percentiles | List | A list of numbers between 0 and 100. |
outputNames | List, default: null | A list of names for the outputs, or null to get default names. |
maxBuckets | Integer, default: null | The maximum number of buckets to use when building a histogram; will be rounded up to a power of 2. |
minBucketWidth | Float, default: null | The minimum histogram bucket width, or null to allow any power of 2. |
maxRaw | Integer, default: null | The number of values to accumulate before building the initial histogram. |
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Last updated 2024-07-13 UTC.
[null,null,["Last updated 2024-07-13 UTC."],[[["This reducer calculates specified percentiles (e.g., minimum, median, maximum) from a set of input values."],["For smaller datasets, percentiles are computed directly; for larger datasets, a histogram-based approach is used for efficiency."],["Users can customize the percentiles to compute, output band names, and fine-tune the histogram construction parameters."]]],["The `ee.Reducer.percentile` function computes specified percentiles from a dataset. It accepts a list of `percentiles` (0-100) and optional `outputNames`. For large datasets, it builds a histogram with a `maxBuckets` limit and `minBucketWidth`. For smaller datasets (up to `maxRaw`), it computes percentiles directly. The function returns a Reducer, producing outputs with names like 'p0', 'p50', etc., representing the corresponding percentiles. The user can set custom names or null for defaults.\n"]]