ee.FeatureCollection.inverseDistance
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. |
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[[["Estimates pixel values using an inverse-distance weighting method based on nearby features within a specified range."],["Takes a FeatureCollection as input and outputs an Image containing the estimated values for each pixel."],["Allows customization of the estimation through parameters like global mean, standard deviation, and a gamma factor that controls the influence of the global mean."],["Users can provide a reducer to handle overlapping points and aggregate their property values during the estimation process."],["The pixel values are derived from the 'propertyName' specified in the input FeatureCollection."]]],["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"]]