Densify Sampling Network (Geostatisical Analyst)
Resumen
Uses inter alia, the Standard Error of Prediction surface on a predefined geostatistical kriging layer to determine where new locations are required or which can be removed.
Uso
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The input geostatistical layer must be a kriging layer.
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The selection criteria are based upon;
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STDERR = O0(s)
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STDERR_THRESHOLD = O1(s)
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QUARTILE_THRESHOLD = O2(s)
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The case might arise where only a single new location is generated when more were requested. This happens when the new location keeps on being selected based on the selection criteria. This can be prevented by specifying a value for the Inhibition distance parameter.
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To decide which locations have the least influence on the prediction surface you may use the feature class that was used to create the kriging layer for the Input candidate point features parameter.
Sintaxis
| Parámetro | Explicación | Tipo de datos |
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 (Opcional) |
Methods to densify a sampling network. | String |
threshold (Opcional) |
The threshold value used to densify the sampling network, applicable only when STDERR_THRESHOLD or QUARTILE_THRESHOLD selection criteria are used. | Double |
in_weight_raster (Opcional) |
A raster used to determine which locations to weight for preference. | Raster Layer |
in_candidate_point_features (Opcional) |
Sample locations to pick from. | Feature Layer |
inhibition_distance (Opcional) |
Used to prevent any samples being placed within this distance from each other. | Linear unit |
Ejemplo de código
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")
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)