Round Up (Image Analyst)

Available with Spatial Analyst license.

Summary

Returns the next higher integer value, just represented as a floating point, for each cell in a raster.

Illustration

OutRas = RoundUp(InRas1)

Usage

• Input values can be positive or negative.

• The output raster from this tool is always floating-point type, regardless of the input value type.

• If the input number has any values to the right of the decimal point, the output will be assigned the next higher integer value, but will be represented as a floating point number with no decimal portion. For example:

     Input   Output
      5.3     6.0
      4.9     5.0
      3.0     3.0
      6.5     7.0
     -0.2     0.0
     -2.8    -2.0

• If the input is a multiband raster, the output will be a multiband raster. The tool will perform the operation on each band in the input.

• If the input is multidimensional raster data, all slices from all variables will be processed. The output will be a multidimensional raster in CRF format.

Parameters

Dialog

Label	Explanation	Data Type
Input raster or constant value	The input values to be rounded up. To use a number as an input for this parameter, the cell size and extent must first be set in the environment.	Raster Layer; Constant

Return Value

Label	Explanation	Data Type
Output raster	The output raster. The cell values are the result of rounding up the input values.	Raster

Python

RoundUp(in_raster_or_constant)

Name	Explanation	Data Type
in_raster_or_constant	The input values to be rounded up. To use a number as an input for this parameter, the cell size and extent must first be set in the environment.	Raster Layer; Constant

Return Value

Name	Explanation	Data Type
out_raster	The output raster. The cell values are the result of rounding up the input values.	Raster

Environments

Auto Commit, Cell Size, Cell Size Projection Method, Current Workspace, Extent, Geographic Transformations, Mask, Output CONFIG Keyword, Output Coordinate System, Scratch Workspace, Snap Raster, Tile Size