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Create a reducer that will compute the median of the inputs. For small numbers of inputs (up to maxRaw) the median will be computed directly; for larger numbers of inputs the median will be derived from a histogram.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[[["This reducer calculates the median of input values, using either direct computation or a histogram-based approach depending on the input size."],["For small datasets (up to `maxRaw` values), the median is computed directly from the raw input values."],["For larger datasets, the reducer constructs a histogram with a maximum of `maxBuckets`, potentially rounding up to the nearest power of 2, and `minBucketWidth` as the minimum width of each bucket for efficient approximation."],["Users can control the calculation process by specifying parameters like `maxBuckets`, `minBucketWidth`, and `maxRaw` to customize the reducer's behavior."]]],["The core content describes a reducer that calculates the median of inputs. For smaller datasets (up to `maxRaw`), the median is directly computed. Larger datasets utilize a histogram for median derivation. The `ee.Reducer.median` function creates this reducer, accepting `maxBuckets` (maximum histogram buckets), `minBucketWidth` (minimum bucket size), and `maxRaw` (raw values threshold) as parameters to customize the histogram creation.\n"]]