Display Name: InterpolatePoints

Description: Predicts values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns a raster of predicted values.

Category:

Help URL: http://agrilanduse.doa.gov.my/mygeosvr/rest/directories/arcgisoutput/System/RasterAnalysisTools_GPServer/System_RasterAnalysisTools/InterpolatePoints.htm

Execution Type: esriExecutionTypeAsynchronous

Parameters:

Parameter: inputPointFeatures

Data Type: GPFeatureRecordSetLayer
Display Name inputPointFeatures
Description: The input point features you want to interpolate.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Geometry Type:
HasZ: false
HasM: false
Spatial Reference: N/A
Fields: None

Features: None.



Parameter Type: esriGPParameterTypeRequired
Category:


Parameter: interpolateField

Data Type: GPString
Display Name interpolateField
Description: The field containing the data values you want to interpolate. The field must be numeric.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeRequired
Category:


Parameter: outputName

Data Type: GPString
Display Name outputName
Description: The name of the output raster service.The default name is based on the tool name and the input layer name. If the layer already exists, you will be prompted to provide another name.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeRequired
Category:


Parameter: optimizeFor

Data Type: GPString
Display Name optimizeFor
Description: Choose your preference for speed versus accuracy. More accurate predictions will take longer to calculate.Speed—The operation is optimized for speed.Balance—A balance between speed and accuracy. This is the default.Accuracy—The operation is optimized for accuracy.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value: BALANCE
Parameter Type: esriGPParameterTypeOptional
Category:
Choice List: [ SPEED, BALANCE, ACCURACY ]

Parameter: transformData

Data Type: GPBoolean
Display Name transformData
Description: Choose whether to transform your data to a normal distribution before performing analysis. If your data values do not appear to be normally distributed (bell-shaped), it is recommended to perform a transformation.Checked—A transformation to the normal distribution is applied. Unchecked—No transformation is applied. This is the default.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value: false
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: sizeOfLocalModels

Data Type: GPLong
Display Name sizeOfLocalModels
Description: Choose the number of points in each of the local models. A larger value will make the interpolation more global and stable, but small-scale effects may be missed. Smaller values will make the interpolation more local, so small-scale effects are more likely to be captured, but the interpolation may be unstable.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: numberOfNeighbors

Data Type: GPLong
Display Name numberOfNeighbors
Description: The number of neighbors to use when calculating the prediction at a particular cell.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: outputCellSize

Data Type: GPLinearUnit
Display Name outputCellSize
Description: Set the cell size and units of the output raster. If a prediction error raster is created, it will also use this cell size.The units can be Kilometers, Meters, Miles, or Feet.The default units are Meters.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: outputPredictionError

Data Type: GPBoolean
Display Name outputPredictionError
Description: Choose whether to output a raster of standard errors of the interpolated predictions.Standard errors are useful because they provide information about the reliability of the predicted values. A simple rule of thumb is that the true value will fall within two standard errors of the predicted value 95 percent of the time. For example, suppose a new location gets a predicted value of 50 with a standard error of 5. This means that this task's best guess is that the true value at that location is 50, but it reasonably could be as low as 40 or as high as 60. To calculate this range of reasonable values, multiply the standard error by 2, add this value to the predicted value to get the upper end of the range, and subtract it from the predicted value to get the lower end of the range.If a raster of standard errors for the interpolated predictions is requested, it will have the same name as the Result layer name but with Errors appended. Unchecked—No output prediction error is generated. This is the default. Checked—An output prediction error is generated.
Direction: esriGPParameterDirectionInput
Dependency:
Default Value: false
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: context

Data Type: GPString
Display Name context
Description:
Direction: esriGPParameterDirectionInput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeOptional
Category:


Parameter: outputRaster

Data Type: GPString
Display Name outputRaster
Description:
Direction: esriGPParameterDirectionOutput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeDerived
Category:


Parameter: outputErrorRaster

Data Type: GPString
Display Name outputErrorRaster
Description:
Direction: esriGPParameterDirectionOutput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeDerived
Category:


Parameter: processInfo

Data Type: GPString
Display Name processInfo
Description:
Direction: esriGPParameterDirectionOutput
Dependency:
Default Value:
Parameter Type: esriGPParameterTypeDerived
Category:

Supported Operations:   Submit Job