The Interpolate Points task allows you to predict values at new locations based on measurements from a collection of points. The task takes point data with values at each point and returns areas classified by predicted values.
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| Parameter | Explanation |
|---|---|
| inputLayer | The point layer whose features will be interpolated. |
| field | Name of the numeric field containing the values you wish to interpolate. |
| interpolateOption (Optional) | Integer value declaring your preference for speed versus accuracy, from 1 (fastest) to 9 (most accurate). More accurate predictions take longer to calculate. |
| outputPredictionError (Optional) | If True, a polygon layer of standard errors for the interpolation predictions will be returned in the predictionError output parameter. |
| classificationType (Optional) | Determines how predicted values will be classified into areas. |
| numClasses (Optional) | This value is used to divide the range of interpolated values into distinct classes. The range of values in each class is determined by the classificationType parameter. Each class defines the boundaries of the result polygons. |
| classBreaks (Optional) | If classificationType is Manual, supply desired class break values separated by spaces. These values define the upper limit of each class, so the number of classes will equal the number of entered values. Areas will not be created for any locations with predicted values above the largest entered break value. You must enter at least two values and no more than 32. |
| boundingPolygonLayer (Optional) | A layer specifying the polygon(s) where you want values to be interpolated. |
| predictAtPointLayer (Optional) | An optional layer specifying point locations to calculate prediction values. This allows you to make predictions at specific locations of interest. |
| outputName (Optional) | Additional properties such as output feature service name. |
| context (Optional) | Additional settings such as processing extent and output spatial reference. |
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InterpolatePoints
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