The parameters that are supplied to this method are controlled by the interpolate option. This tool uses the Esri Empirical Bayesian Kriging method to perform the interpolation. Maximum number to display in widget UI from which user can pick the number of classes to use in the analysis. The point features that will be interpolated. A 95 percent confidence interval can be calculated for the interpolated layer by taking the interpolation value and adding two standard errors for the upper limit and subtracting two standard errors from the lower limit. In the Spatial Analyst toolbox, there are a few toolboxes that will interpolate the points to a surface using various methods. Sets the selected folder of the select folder dropdown, based on the provided folderName, when showSelectFolder is true. The more accurate the predictions, the slower the results take to calculate and vice versa.Ī layer of standard errors can be created by this tool using the output prediction error option. The Interpolate Points tool can be set to optimize speed or accuracy, or a middle ground. It is not appropriate for data such as population or median income that change very abruptly over short distances. This lesson was last tested on July 8, 2022, using ArcGIS Pro 3.0. Interpolate Points is designed to work with data that changes slowly and smoothly over the landscape, like temperature and pollution levels. Using tools in the ArcGIS Geostatistical Analyst extension, you'll interpolate water quality point measurements collected in estuaries and create and compare the resulting dissolved oxygen level layers for the summer of 20. The input layer must have a numeric field to serve as the basis of the interpolation.
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