ee.Reducer.linearFit
Returns a Reducer that computes the slope and offset for a (weighted) linear regression of 2 inputs. The inputs are expected to be x data followed by y data. Where applicable, the outputs are named: "scale", "offset".
| Usage | Returns |
|---|
ee.Reducer.linearFit() | Reducer |
No arguments.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-09-19 UTC.
[null,null,["Last updated 2024-09-19 UTC."],[[["This reducer calculates the slope (scale) and y-intercept (offset) of a linear regression line."],["It uses two input datasets: one for the x-values and one for the corresponding y-values."],["Weights can be applied to the data points for a weighted linear regression."],["The output of the reducer contains the calculated slope and offset, labeled as \"scale\" and \"offset\" respectively."]]],["This document describes a Reducer, `ee.Reducer.linearFit()`, which calculates a linear regression between two inputs, x and y data. It determines the slope (\"scale\") and y-intercept (\"offset\") of the linear relationship. This Reducer operates without any input arguments and returns a Reducer object. The core function is computing these two parameters, scale and offset, representing the best-fit line for the provided data.\n"]]