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ee.Reducer.covarianceStay organized with collectionsSave and categorize content based on your preferences.
Creates a reducer that reduces some number of 1-D arrays of the same length N to a covariance matrix of shape NxN. This reducer uses the one-pass covariance formula from Sandia National Laboratories Technical Report SAND2008-6212, which can lose accuracy if the values span a large range.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13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 describes a reducer function that computes a covariance matrix from multiple 1-D arrays of identical length. The output is an NxN covariance matrix. It employs a one-pass covariance formula, as detailed in Sandia National Laboratories Technical Report SAND2008-6212. The key action is reducing multiple arrays into a single matrix, and the critical information is the use of a specific formula which can result in decreased accuracy if the input data contains a broad range of values.\n"]]
