Mit der Spatial Analyst-Lizenz verfügbar.
Mit der Image Analyst-Lizenz verfügbar.
Zusammenfassung
Defines a circle neighborhood which is created by specifying the radius in either map units or number of cells.
Abbildung
Auswertung
Tools that use neighborhood circle object: Block Statistics, Focal Statistics, Point Statistics, and Point Density.
Lizenz:
This class is also available if you have an Image Analyst extension license, but only for the Focal Statistics tool.
A circle neighborhood is created by specifying a radius value. The radius is identified in cell or map units, measured perpendicular to the x- or y-axis. When the radius is specified in map units, it is converted to a radius in cell units. The resulting radius in cell units produces an area that most closely represents the area calculated by using the original radius in map units. Any cell center encompassed by the circle will be included in the processing of the neighborhood.
Syntax
NbrCircle ({radius}, {units})
Parameter | Erklärung | Datentyp |
radius | The radius of the circle neighborhood. (Der Standardwert ist 3) | Double |
units | Defines the units of the neighborhood.
(Der Standardwert ist CELL) | String |
Eigenschaften
Eigenschaft | Erklärung | Datentyp |
radius (Lesen und schreiben) | The radius of the circle neighborhood. | Double |
units (Lesen und schreiben) | Defines the units of the neighborhood. | String |
Codebeispiel
Demonstrates how to create a NbrCircle class and use it in the BlockStatistics tool within the Python window.
import arcpy
from arcpy import env
from arcpy.sa import *
env.workspace = "C:/sapyexamples/data"
outNbrC = BlockStatistics("block", NbrCircle(2, "MAP"))
outNbrC.save("C:/sapyexamples/output/blstatsnbrc2")
Implements the BlockStatistics tool using the NbrCircle class.
# Name: NbrCircle_Ex_02.py
# Description: Uses the NbrCircle object to execute BlockStatistics tool.
# Requirements: Spatial Analyst Extension
# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *
# Set environment settings
env.workspace = "C:/sapyexamples/data"
# Set local variables
inRaster = "block"
# Create the Neighborhood Object
radius = 2
myNbrCirc = NbrCircle(radius, "MAP")
# Execute BlockStatistics
outBlkStat = BlockStatistics(inRaster, myNbrCirc, "MINIMUM", "DATA")
# Save the output
outBlkStat.save("C:/sapyexamples/output/blstat_cir3")