ee.FeatureCollection.kriging

Returns the results of sampling a Kriging estimator at each pixel.

UsageReturns
FeatureCollection.kriging(propertyName, shape, range, sill, nugget, maxDistance, reducer)Image
ArgumentTypeDetails
this: collectionFeatureCollection

Feature collection to use as source data for the estimation.

propertyNameString

Property to be estimated (must be numeric).

shapeString

Semivariogram shape (one of {exponential, gaussian, spherical}).

rangeFloat

Semivariogram range.

sillFloat

Semivariogram sill.

nuggetFloat

Semivariogram nugget.

maxDistanceFloat, default: null

Radius which determines which features are included in each pixel's computation. Defaults to the semivariogram's range.

reducerReducer, default: null

Reducer used to collapse the 'propertyName' value of overlapping points into a single value.

Examples

JavaScript

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Python

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