Densify Sampling Network (Geostatisical Analyst)

Niveau de licence :BasicStandardAdvanced

Récapitulatif

Uses a predefined geostatistical kriging layer to determine where new monitoring stations should be built. It can also be used to determine which monitoring stations should be removed from an existing network.

Utilisation

Syntaxe

DensifySamplingNetwork_ga (in_geostat_layer, number_output_points, out_feature_class, {selection_criteria}, {threshold}, {in_weight_raster}, {in_candidate_point_features}, {inhibition_distance})
ParamètreExplicationType de données
in_geostat_layer

Input a geostatistical layer resulting from a Kriging model.

Geostatistical Layer
number_output_points

Specify how many sample locations to generate.

Long
out_feature_class

The name of the output feature class.

Feature Class
selection_criteria
(Facultatif)

Methods to densify a sampling network.

String
threshold
(Facultatif)

The threshold value used to densify the sampling network, applicable only when STDERR_THRESHOLD, QUARTILE_THRESHOLD, or QUARTILE_THRESHOLD_UPPER selection criteria is used.

Double
in_weight_raster
(Facultatif)

A raster used to determine which locations to weight for preference.

Raster Layer
in_candidate_point_features
(Facultatif)

Sample locations to pick from.

Feature Layer
inhibition_distance
(Facultatif)

Used to prevent any samples being placed within this distance from each other.

Linear unit

Exemple de code

DensifySamplingNetwork example 1 (Python window)

Densify a sampling network based on a predefined geostatistical kriging layer.

import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
arcpy.DensifySamplingNetwork_ga("C:/gapyexamples/data/Kriging.lyr", 2,
                                 "C:/gapyexamples/output/outDSN")
DensifySamplingNetwork example 2 (stand-alone script)

Densify a sampling network based on a predefined geostatistical kriging layer.

# Name: DensifySamplingNetwork_Example_02.py
# Description: Densify a sampling network based on a predefined geostatistical
#              kriging layer. It uses, inter alia, the Standard Error of 
#              Prediction map to determine where new locations are required.
# Requirements: Geostatistical Analyst Extension

# Import system modules
import arcpy

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

# Set local variables
inLayer = "C:/gapyexamples/data/Kriging.lyr"
numberPoints = 2
outPoints = "C:/gapyexamples/output/outDSN"

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

# Execute DensifySamplingNetworks
arcpy.DensifySamplingNetwork_ga(inLayer, numberPoints, outPoints)

Environnements

Thèmes connexes

Informations de licence

ArcGIS for Desktop Basic: Requis Geostatistical Analyst
ArcGIS for Desktop Standard: Requis Geostatistical Analyst
ArcGIS for Desktop Advanced: Requis Geostatistical Analyst
4/26/2014