Interpolate Points is also available in ArcGIS Pro. Interpolate Points uses Empirical Bayesian Kriging to perform the interpolation, which is available in the Interpolation toolset of the Geostatistical Analyst extension toolbox. If you are using point or line measurements to create a density map, use the Calculate Density tool. Other tools may be useful in solving similar but slightly different problems. Use Interpolate Points to predict values based on point measurements. Maximum number of points in each local model

The parameters that are supplied to the Empirical Bayesian Kriging tool are controlled by the Optimize for parameter. Interpolate Points uses the Empirical Bayesian Kriging geoprocessing tool to perform the interpolation. The Interpolate Points tool can be used on point features only.

If unchecked, all features in the input point layer will be interpolated, even if they are outside the current map extent. If Use current map extent is checked, only the features in the input point layer within the current map extent will be interpolated. The predictions will be written in an output point layer. Points can be drawn or provided from a layer so predictions can be made at specific locations of interest. Used with the classification scheme in the Classify by option. The number of classes to be used in the result layer. If Manual is chosen, you must supply your own class break values, and the Number of Classes parameter will not apply. Options include Geometric Interval, Equal Interval, Equal Area, and Manual. The classification scheme used to display the resulting density layer. The interpolation will be performed and clipped to the boundaries of the area. 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.Īn area from a layer or the draw tool can be used to specify an area of interest. The more accurate the predictions, the slower the results take to calculate and vice versa.Ī layer of standard errors can be created by checking the Output prediction errors box. 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. Interpolate Points is designed to work with data that changes slowly and smoothly over the landscape, like temperature and pollution levels. The input layer must have a numeric field to serve as the basis of the interpolation. Interpolate Points can be used to create a continuous layer of predicted rainfall amounts across the entire region.Ī point layer is used as the input. Rainfall amount is measured at designated weather stations. The Interpolate Points tool allows you to predict values at new locations based on measurements found in a collection of points.

Interpolate points arcgis