Subset Features (Geostatisical Analyst)

サマリ

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.

Learn more about Subset Features

使用法

• 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.

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

構文

SubsetFeatures_ga (in_features, out_training_feature_class, {out_test_feature_class}, {size_of_training_dataset}, {subset_size_units})

パラメータ	説明	データ タイプ
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 （オプション）	The subset of test features to be created.	Feature Class; Table
size_of_training_dataset （オプション）	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 （オプション）	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

コードのサンプル

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"

# Check out the ArcGIS Geostatistical Analyst extension license
arcpy.CheckOutExtension("GeoStats")

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

環境

現在のワークスペース, 出力データの座標系, 範囲, テンポラリ ワークスペース, 乱数ジェネレータ

ライセンス情報

ArcView: 必須 Geostatistical Analyst

ArcEditor: 必須 Geostatistical Analyst

ArcInfo: 必須 Geostatistical Analyst