Subset Features (Geostatistical Analyst)

Geostatistical Analyst のライセンスで利用可能。

サマリー

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.

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.

  注意:

  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.

パラメーター

ダイアログ

ラベル	説明	データ タイプ
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 (オプション)	The subset of test features to be created.	Feature Class; Table
Size of training feature subset (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

Python

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

名前	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"

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

環境

現在のワークスペース, 範囲, 地理座標系変換, 出力座標系, 乱数ジェネレーター, テンポラリ ワークスペース

ライセンス情報

• Basic: 次のものが必要 Geostatistical Analyst
• Standard: 次のものが必要 Geostatistical Analyst
• Advanced: 次のものが必要 Geostatistical Analyst