Label | Explanation | Data Type |

Input point features | The input point features containing the z-values to be interpolated into a surface raster. | Feature Layer |

Z value field | The field that holds a height or magnitude value for each point. This can be a numeric field or the Shape field if the input point features contain z-values. If the regression type is Logistic, the values in the field can only be 0 or 1. | Field |

Output cell size (Optional) | The cell size of the output raster that will be created. This parameter can be defined by a numeric value or obtained from an existing raster dataset. If the cell size hasn't been explicitly specified as the parameter value, the environment cell size value will be used if specified; otherwise, additional rules will be used to calculate it from the other inputs. See the usage section for more detail. | Analysis Cell Size |

Polynomial order (Optional) | The order of the polynomial. This must be an integer between 1 and 12. A value of 1 will fit a flat plane to the points, and a higher value will fit a more complex surface. The default is 1. | Long |

Type of regression (Optional) | The type of regression to be performed. - Linear — Polynomial regression is performed to fit a least-squares surface to the set of input points. This is applicable for continuous types of data.
- Logistic — Logistic trend surface analysis is performed. It generates a continuous probability surface for binary, or dichotomous, types of data.
| String |

Output RMS file (Optional) | File name for the output text file that contains information about the RMS error and the Chi-Square of the interpolation. The extension must be .txt. | File |

### Return Value

Label | Explanation | Data Type |

Output raster | The output interpolated surface raster. It is always a floating-point raster. | Raster |