Disponible con una licencia de Geostatistical Analyst.
Uses the interpolation model in a geostatistical layer to predict a value at a single location.
This tool is generally used only in a model or in scripting.
| Etiqueta | Explicación | Tipo de datos |
Input geostatistical layer | The geostatistical layer to be analyzed. | Geostatistical Layer |
Input point | The x,y coordinate of the point for which the Z-value will be calculated. | Point |
| Etiqueta | Explicación | Tipo de datos |
| Output Z-value | The predicted Z-value at the specified x,y coordinate. | Double |
arcpy.ga.GACalculateZValue(in_geostat_layer, point_coord)
| Nombre | Explicación | Tipo de datos |
in_geostat_layer | The geostatistical layer to be analyzed. | Geostatistical Layer |
point_coord | The x,y coordinate of the point for which the Z-value will be calculated. | Point |
| Nombre | Explicación | Tipo de datos |
| out_z_value | The predicted Z-value at the specified x,y coordinate. | Double |
Predict a value at a location using a kriging geostatistical layer.
import arcpy
arcpy.env.workspace = "C:/gapyexamples/data"
outCZV = arcpy.GACalculateZValue_ga("C:/gapyexamples/data/Kriging.lyr",
"-2000000 -50000")
print(outCZV)Predict a value at a location using a kriging geostatistical layer.
# Name: CalculateZValue_Example_02.py
# Description: Uses the interpolation model in a geostatistical
# layer to predict a value at a single location.
# Requirements: Geostatistical Analyst Extension
# Import system modules
import arcpy
# Set environment settings
arcpy.env.workspace = "C:/gapyexamples/data"
# Set local variables
inGALayer = "C:/gapyexamples/data/Kriging.lyr"
pointCoord = "-2000000 -50000"
# Execute CalculateZValue
outCZV = arcpy.GACalculateZValue_ga(inGALayer, pointCoord)
# Print results
print(outCZV)