Cell Statistics (Spatial Analyst)

Summary

Calculates a per-cell statistic from multiple rasters.

The available statistics are Majority, Maximum, Mean, Median, Minimum, Minority, Range, Standard Deviation, Sum, and Variety.

Learn more about how Cell Statistics works

Illustration

Cell Statistics - Sum illustration
OutRas = CellStatistics([InRas1, InRas2, InRas3], "SUM", "DATA")

Usage

Syntax

CellStatistics (in_rasters_or_constants, {statistics_type}, {ignore_nodata})
ParameterExplanationData Type
in_rasters_or_constants
[in_raster_or_constant,...]

A list of input rasters for which a statistic will be calculated for each cell within the Analysis window.

A number can be used as an input; however, the cell size and extent must first be set in the environment.

Raster Layer | Constant
statistics_type
(Optional)

Statistic type to be calculated.

  • MEAN Calculates the mean (average) of the inputs.
  • MAJORITY Determines the majority (value that occurs most often) of the inputs.
  • MAXIMUM Determines the maximum (largest value) of the inputs.
  • MEDIAN Calculates the median of the inputs.
  • MINIMUM Determines the minimum (smallest value) of the inputs.
  • MINORITY Determines the minority (value that occurs least often) of the inputs.
  • RANGE Calculates the range (difference between largest and smallest value) of the inputs.
  • STD Calculates the standard deviation of the inputs.
  • SUM Calculates the sum (total of all values) of the inputs.
  • VARIETY Calculates the variety (number of unique values) of the inputs.
String
ignore_nodata
(Optional)

Denotes whether NoData values are ignored by the statistic calculation.

  • DATA Only cells that have data values will be used in determining the statistic value.If a NoData value exists at a certain location, the NoData value will be ignored. Only cells that have data values will be used in determining the output.
  • NODATA All input cells at each location, including those with a value of NoData, will be used in determining the statistic.
Boolean

Return Value

NameExplanationData Type
out_raster

The output raster.

The value is determined by applying the specified statistic type to the input rasters.

Raster

Code Sample

CellStatistics example 1 (Python window)

This example calculates the standard deviation per cell on several input GRID rasters and outputs the result as an IMG raster.

import arcpy
from arcpy import env
from arcpy.sa import *
env.workspace = "C:/sapyexamples/data"
outCellStats = CellStatistics(["degs", "negs", "cost"], "STD", "DATA")
outCellStats.save("C:/sapyexamples/output/outcellstats.img")
CellStatistics example 2 (stand-alone script)

This example calculates the standard deviation per cell on several input GRID rasters and outputs the result as a GRID raster.

# Name: CellStatistics_Ex_02.py
# Description: Calculates a per-cell statistic from multiple rasters
# Requirements: Spatial Analyst Extension
# Author: ESRI

# Import system modules
import arcpy
from arcpy import env
from arcpy.sa import *

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

# Set local variables
inRaster01 = "degs"
inRaster02 = "negs"
inRaster03 = "cost"

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

# Execute CellStatistics
outCellStatistics = CellStatistics([inRaster01, inRaster02, inRaster03], "RANGE", "NODATA")

# Save the output 
outCellStatistics.save("C:/sapyexamples/output/cellstats")

Environments

Related Topics

Licensing Information

ArcView: Requires Spatial Analyst
ArcEditor: Requires Spatial Analyst
ArcInfo: Requires Spatial Analyst

6/29/2011