Subset Features (Geostatistical Analyst)

Available with Geostatistical Analyst license.

Summary

Divides the original dataset into two parts: one part to be used to model the spatial structure and produce a surface, the other to be used to compare and validate the output surface.

Usage

• If multipart features are used as input, the output will be a subset of multipart features and not individual features.

• If you want the random sequence used to create the subsets to be repeatable, you need to specify a nonzero seed value in the Random number generator environment variable.

  Note:

  Only the Mersenne Twister random number generator type is supported; if ACM collected algorithm 599 or Standard C Rand is chosen, Mersenne Twister will be used instead.

• The test feature class is often used in validation of a model created using the training feature class.

Parameters

Dialog

Label	Explanation	Data Type
Input features	Points, lines, polygon features, or table from which to create a subset.	Table View
Output training feature class	The subset of training features to be created.	Feature Class; Table
Output test feature class (Optional)	The subset of test features to be created.	Feature Class; Table
Size of training feature subset (Optional)	The size of the output training feature class, entered either as a percentage of the input features or as an absolute number of features.	Double
Subset size units (Optional)	Type of subset size. Percentage of input — The percentage of the input features that will be in the training dataset. Absolute value — The number of features that will be in the training dataset.	Boolean

Python

arcpy.ga.SubsetFeatures(in_features, out_training_feature_class, {out_test_feature_class}, {size_of_training_dataset}, {subset_size_units})

Name	Explanation	Data Type
in_features	Points, lines, polygon features, or table from which to create a subset.	Table View
out_training_feature_class	The subset of training features to be created.	Feature Class; Table
out_test_feature_class (Optional)	The subset of test features to be created.	Feature Class; Table
size_of_training_dataset (Optional)	The size of the output training feature class, entered either as a percentage of the input features or as an absolute number of features.	Double
subset_size_units (Optional)	Type of subset size. PERCENTAGE_OF_INPUT — The percentage of the input features that will be in the training dataset. ABSOLUTE_VALUE — The number of features that will be in the training dataset.	Boolean

Code sample

SubsetFeatures example 1 (Python window)

Randomly split the features into two feature classes.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.SubsetFeatures_ga("ca_ozone_pts", "C:/gapyexamples/output/training", 
                        "", "", "PERCENTAGE_OF_INPUT")

SubsetFeatures example 2 (stand-alone script)

Randomly split the features into two feature classes.

# Name: SubsetFeatures_Example_02.py
# Description: Randomly split the features into two feature classes.
# Requirements: Geostatistical Analyst Extension

# Import system modules
import arcpy

# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"

# Set local variables
inPointFeatures = "ca_ozone_pts.shp"
outtrainPoints = "C:/gapyexamples/output/training.shp"
outtestPoints = ""
trainData = ""
subsizeUnits = "PERCENTAGE_OF_INPUT"

# Execute SubsetFeatures
arcpy.SubsetFeatures_ga(inPointFeatures, outtrainPoints, outtestPoints, 
                        trainData, subsizeUnits)

Environments

Current Workspace, Extent, Geographic Transformations, Output Coordinate System, Random number generator, Scratch Workspace

Licensing information

• Basic: Requires Geostatistical Analyst
• Standard: Requires Geostatistical Analyst
• Advanced: Requires Geostatistical Analyst