Earth Engine is introducing
noncommercial quota tiers to safeguard shared compute resources and ensure reliable performance for everyone. All noncommercial projects will need to select a quota tier by
April 27, 2026 or will use the Community Tier by default. Tier quotas will take effect for all projects (regardless of tier selection date) on
April 27, 2026.
Learn more.
ee.FeatureCollection.inverseDistance
Stay organized with collections
Save and categorize content based on your preferences.
Returns an inverse-distance weighted estimate of the value at each pixel.
| Usage | Returns | FeatureCollection.inverseDistance(range, propertyName, mean, stdDev, gamma, reducer) | Image |
| Argument | Type | Details | this: collection | FeatureCollection | Feature collection to use as source data for the estimation. |
range | Float | Size of the interpolation window (in meters). |
propertyName | String | Name of the numeric property to be estimated. |
mean | Float | Global expected mean. |
stdDev | Float | Global standard deviation. |
gamma | Float, default: 1 | Determines how quickly the estimates tend towards the global mean. |
reducer | Reducer, default: null | Reducer used to collapse the 'propertyName' value of overlapping points into a single value. |
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 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],["The function calculates an inverse-distance weighted estimate for each pixel's value. It uses a `FeatureCollection` as source data, specifying a numeric `propertyName` to estimate. The `range` defines the interpolation window's size. A global `mean` and `stdDev` are utilized, with `gamma` controlling the estimate's convergence toward the mean. Overlapping points can be handled using a provided `reducer`. The function outputs an `Image` of estimated values.\n"]]