| Name | Description |
| Alias | The alias for this tool's toolbox. |
| bandwidth | Used to specify the maximum distance at which data points are used for prediction. With increasing bandwidth, prediction bias increases and prediction variance decreases. (In, Optional) |
| cell_size | The cell size at which the output raster will be created. (In, Optional) |
| condition_number | Every invertible square matrix has a condition number that indicates how inaccurate the solution to the linear equations can be with a small change in the matrix coefficients (it can be due to imprecise data) . If the condition number is large, a small change in the matrix coefficients results in a large change in the solution vector. (In, Optional) |
| in_features | The input point features containing the z-values to be interpolated. (In, Required) |
| kernel_function | The kernel function used in the simulation. (In, Optional) |
| out_ga_layer | The geostatistical layer produced. This layer is required output only if no output raster is requested. (Out, Optional) |
| out_raster | The output raster. This raster is required output only if no output geostatistical layer is requested. (Out, Optional) |
| output_type | Surface type to store the interpolation results. (In, Optional) |
| ParameterInfo | The parameters used by this tool. For internal use only. |
| power | The order of the polynomial. (In, Optional) |
| search_neighborhood | Defines which surrounding points will be used to control the output. There are two options: STANDARD and SMOOTH. Standard is the default. (In, Optional) |
| ToolboxDirectory | The directory of this tool's toolbox. |
| ToolboxName | The name of this tool's toolbox. |
| ToolName | The name of this tool. |
| use_condition_number | Option to control the creation of prediction and prediction standard errors where the predictions are unstable. This option is only available for polynomials of order 1, 2 and 3.
(In, Optional) |
| weight_field | Used to emphasize an observation. The larger the weight, the more impact it has on the prediction. For coincident observations, assign the largest weight to the most reliable measurement. (In, Optional) |
| z_field | Field that holds a height or magnitude value for each point. This can be a numeric field or the Shape field if the input features contains z-values or m-values. (In, Required) |