[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06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"]]