Open the Raster Function Editor window. For details, see Raster Function Editor.

Open the Browse Raster Function Templates and Custom Web Tools window. For details, see raster functions.

Open the Analysis Environments dialog box.

Return to the Perform Analysis pane.

View help about the category.

Expand the category to view the tools it contains.

Specifies the coordinate system of the result imagery layer.

The following options are available:

• Same as input—The result of your analysis will be in the same coordinate system as the input. This is the default.
• As specified—The result of your analysis will be in the coordinate system you choose. When this option is selected, click the globe button and choose from a list of known coordinate systems, or add the spatial reference WKID in the box provided.
• Layer <name>—The result of your analysis will be in the same coordinate system as an existing layer you choose in your web map.

Specifies the extent or boundary that will be used during execution of the analysis. All pixels or cells that are completely within or that intersect the specified extent will be used in the analysis.

The following options are available:

• Default—The extent used for analysis is provided by the tool.
• As specified—The extent is defined by the coordinates you provide.
• Layer <name>—The extent used to process your analysis will be the same as the spatial extent of an existing layer you choose in your web map.

Adjusts the extent of the output raster layer so it matches the cell alignment of the specified Snap Raster layer.

Specifies the cell size or resolution that will be used to create the output raster layer in raster analysis. The default output resolution is determined by the largest cell size of the input raster layer.

The following options are available:

• Minimum of Inputs—Use the smallest cell size of all input layers.
• Maximum of Inputs—Use the largest cell size of all input layers. This is the default.
• As specified—Specify a numeric value to set the cell size. If this is selected, the default value is 1.
• Layer <name>—Set the cell size to the raster layer chosen.

Specifies a layer that will be used to define your area of interest for analysis. Only those cells that fall within the analysis mask will be considered in the analysis operation.

• The mask can be either a raster or a feature layer.
• If the analysis mask is a raster, all cells that have a value will be considered to define the mask. Cells in a mask raster that are NoData will be considered to be outside the mask and will be NoData in the analysis result layer.
• If the analysis mask is a feature layer, it will be internally converted to a raster on execution. For this reason, ensure that Cell Size and Snap Raster are set appropriately for your analysis.

Specify how to interpolate pixel values when transforming your raster dataset. This environment is used when the input and output do not line up, when the pixel size changes, when the data is shifted, or a combination of these situations.

The following options are available:

• Nearest neighborhood—Used primarily for discrete data, such as a land-use classification, since it does not create new pixel values. This method is also appropriate for continuous data when you want to preserve the original reflectance values in imagery for accurate multispectral analysis. It is the most efficient in terms of processing time but may introduce small positional errors in the output image. The output image may be offset by up to half a pixel, which may cause the image to have discontinuities and a jagged appearance.
• Bilinear interpolation—This method is most appropriate for continuous data. It performs a bilinear interpolation and determines the new value of a cell based on a weighted distance average of the four nearest input cell centers. It creates an output image that is smoother in appearance than Nearest neighborhood but alters the reflectance values, which results in blurring or loss of image resolution.
• Cubic convolution—Suitable for continuous data. This method performs a cubic convolution and determines the new value of a cell based on fitting a smooth curve through the 16 nearest input cell centers. The result is geometrically less distorted than the raster achieved with Nearest neighborhood, and sharper than Bilinear interpolation. In some cases, it can result in output pixel values outside the range of input cell values. If this is unacceptable, use the Bilinear interpolation method instead. Cubic convolution is computationally intensive and takes longer to process.

Specify whether to run the analysis using the CPU or GPU. If the Processor type environment is empty, the tool uses CPU to process the data.

The following options are available:

• CPU—Processing will use the CPU. CPU processing can be parallelized across multiple cores and instances, as handled by the Parallel processing factor.
• GPU—Processing will use the GPU. GPUs are effective at graphics and image processing, where their highly parallel structure makes them efficient in processing large blocks of data in a repetitive manner. The raster analysis tools that honor this environment can distribute its job across GPU instances at multiple raster analysis server machines, as handled by the Parallel processing factor.

Define how many image sections will be processed before restarting worker processes, to prevent potential failures in long-running processes. The default value is 0.

Specify the number of raster processing service instances that can be used for processing your data.

If the tool doesn't honor the Processor type, or if the Processor type environment is set to CPU, the Parallel processing factor environment controls raster processing (CPU) service instances. If the Processor type is set to GPU, the Parallel processing factor environment controls the number of raster processing GPU instances.

By setting the Parallel processing factor, you can request the number of parallel workers that the raster analytics image server uses to process one raster analysis task. However, if the total number of parallel processes exceeds the maximum number of raster processing (CPU or GPU) service instances, the additional parallel processes will be queued.

If the Parallel processing factor is not specified, which is the default, the tool will use 80 percent of the maximum number of raster processing service instances. Either an integer number or a percentage can be specified as the parallel processing factor.

Defines how many retries the same worker process will attempt when there is random failure processing a particular job. The default value is 0.

Open the Analysis Environments dialog box.

Close the tool pane without running the analysis and return to the Raster Analysis pane.

Get help about a parameter.

The result of running the analysis is saved to Content using this name.

You can specify a folder in Content in which to save the result.

If checked, only the data visible in the current map will be analyzed.