Parameter 
Explanation 
Data Type 
in_features

The input point features containing the zvalues to be interpolated.

Feature Layer 
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 contain zvalues or mvalues.

Field 
out_ga_layer
(Optional)

The geostatistical layer produced. This layer is required output only if no output raster is requested.

Geostatistical Layer 
out_raster
(Optional)

The output raster. This raster is required output only if no output geostatistical layer is requested.

Raster Dataset 
cell_size
(Optional)

The cell size at which the output raster will be created.
This value can be explicitly set under Raster Analysis from the Environment Settings. If not set, it is the shorter of the width or the height of the extent of the input point features, in the input spatial reference, divided by 250.

Analysis Cell Size 
transformation_type
(Optional)

Type of transformation to be applied to the input data.
 NONE — Do not apply any transformation. This is the default.
 EMPIRICAL —Multiplicative Skewing transformation with Empirical base function.
 LOGEMPIRICAL —Multiplicative Skewing transformation with Log Empirical base function. All data values must be positive.

String 
max_local_points
(Optional)

The input data will automatically be divided into groups that do not have more than this number of points.

Long 
overlap_factor
(Optional)

A factor representing the degree of overlap between local models (also called subsets). Each input point can fall into several subsets, and the overlap factor specifies the average number of subsets that each point will fall into. A high value of the overlap factor makes the output surface smoother, but it also increases processing time. Typical values vary between 0.01 and 5.

Double 
number_semivariograms
(Optional)

The number of simulated semivariograms.

Long 
search_neighborhood
(Optional)

Defines which surrounding points will be used to control the output. Standard is the default.
This is a Search Neighborhood class SearchNeighborhoodStandardCircular and SearchNeighborhoodSmoothCircular.
StandardCircular
 Radius—The length of the radius of the search circle.
 Angle—The angle of rotation for the axis (circle) or semimajor axis (ellipse) of the moving window.
 Maximum neighbors—The maximum number of neighbors that will be used to estimate the value at the unknown location.
 Minimum neighbors—The minimum number of neighbors that will be used to estimate the value at the unknown location.
 Sector type—The geometry of the neighborhood.
 One sector—Single ellipse.
 Four sectors—Ellipse divided into four sectors.
 Four sectors shifted—Ellipse divided into four sectors and shifted 45 degrees.
 Eight sectors—Ellipse divided into eight sectors.
SmoothCircular
 Radius—The length of the radius of the search circle.
 Smoothing factor—The Smooth Interpolation option creates an outer ellipse and an inner ellipse at a distance equal to the Major Semiaxis multiplied by the Smoothing factor. The points that fall outside the smallest ellipse but inside the largest ellipse are weighted using a sigmoidal function with a value between zero and one.

Geostatistical Search Neighborhood 
output_type
(Optional)

Surface type to store the interpolation results.
 PREDICTION —Prediction surfaces are produced from the interpolated values.
 PREDICTION_STANDARD_ERROR — Standard Error surfaces are produced from the standard errors of the interpolated values.
 PROBABILITY —Probability surface of values exceeding or not exceeding a certain threshold.
 QUANTILE —Quantile surface depicting the chance that a prediction is above a certain value.

String 
quantile_value
(Optional)

The quantile value for which the output raster will be generated.

Double 
threshold_type
(Optional)

Determines whether the probability values exceed the threshold value or not.
 EXCEED —Probability values exceed the threshold. This is the default.
 NOT_ EXCEED — Probability values will not exceed the threshold.

String 
probability_threshold
(Optional)

The probability threshold value. If left empty, the median of the input data will be used.

Double 
semivariogram_model_type
(Optional)

The semivariogram model that will be used for the interpolation. The available choices depend on the value of the transformation_type parameter.
If the transformation type is set to NONE, the following semivariograms are available:
 POWER
 LINEAR
 THIN_PLATE_SPLINE
If set to EMPIRICAL or LOGEMPIRICAL, the following semivariograms are available:
 EXPONENTIAL
 EXPONENTIAL_DETRENDED
 WHITTLE
 WHITTLE_DETRENDED
 K_BESSEL
 K_BESSEL_DETRENDED

String 