Input geostatistical layer
Input a geostatistical layer resulting from a Simple Kriging model.
Number of realizations
The number of simulations to perform.
Stores all the simulation results. The workspace can be either a folder or a geodatabase.
Output simulation prefix
A one- to three-character alphanumeric prefix that is automatically added to the output dataset names.
Input conditioning features
The features used to condition the realizations. If left blank, unconditional realizations are produced.
The field used to condition the realizations. If left blank, unconditional realizations are produced.
Output cell size
The cell size at which the output raster will be created.
This value can be explicitly set in the Environments by the Cell Size parameter.
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|
Input bounding features
Limits the analysis to these features' bounding polygon. If point features are entered, then a convex hull polygon is automatically created. Realizations are then performed within that polygon. If bounding features are supplied, any features or rasters supplied in the Mask environment will be ignored.
Save simulated rasters
Specifies whether or not the simulated rasters are saved to disk.
The quantile value for which the output raster will be generated.
The threshold value for which the output raster will be generated, as the percentage of the number of times the set threshold was exceeded, on a cell-by-cell basis.
Input statistical polygons
These polygons represent areas of interest for which summary statistics are calculated.
If statistical polygons are provided, the output polygon feature class will be saved in the Output workspace, and it will have the same name as the input polygons, preceded by the Output simulation prefix. For example, if the input statistical polygons were named myPolys and you entered aaa as the output prefix, then the output polygons will be named aaamyPolys, and will be saved in the specified output workspace.
Raster statistics type
The simulated rasters are postprocessed on a cell-by-cell basis, and each selected statistics type is calculated and reported in an output raster.
Conditioning measurement error field
A field that specifies the measurement error for each input point in the conditioning features. For each conditioning feature, the value of this field should correspond to one standard deviation of the measured value of the feature. Use this field if the measurement error values are not the same at each sampling location.
A common source of nonconstant measurement error is when the data is measured with different devices. One device might be more precise than another, which means that it will have a smaller measurement error. For example, one thermometer rounds to the nearest degree and another thermometer rounds to the nearest tenth of a degree. The variability of measurements is often provided by the manufacturer of the measuring device, or it may be known from empirical practice.
Leave this parameter blank if there are no measurement error values or the measurement error values are unknown.
The workspace containing the simulation results.
|Output statistical polygons|
The output statistical polygons.
|Output simulation rasters|
The output simulation rasters.
|Output statistical rasters|
The output statistical rasters.
The output convergence value.