How are iterate workspaces used in ModelBuilder?

How are iterate workspaces used in ModelBuilder?

To understand the use of Iterate Workspaces in ModelBuilder, see the illustration below, where the model creates a new mosaic using rasters stored in a geodatabase named Arizona, which is stored inside a folder.

What is the input rasters variable in ModelBuilder?

The Input Rasters variable is a folder containing grids, images, and TIFFs. In this case, iteration has been restricted with a wildcard A* and raster type of GRID so that it only iterates over rasters starting with the letter A and only on grids. The tool has two outputs:

Where can I iterate over rasters in Python?

Iterates over rasters in a Workspace or a Raster Catalog. This tool is intended for use in ModelBuilder and not in Python scripting.

How to use a workspace variable in ModelBuilder?

Output Workspace variable (Arizona GDB) connected to the Workspace To Raster Dataset tool as input. Name variable, which can be used as an in-line variable %Name% in the output name of subsequent tools. Feedback on this topic?

How to iterate over unique values in ModelBuilder?

These distances are recorded as the Distance field in the Input Table variable. Note that on the Iterate Field Values dialog box, the Unique Values option is checked by default to iterate over each unique value in a table.

How is iterate row selection used in ModelBuilder?

To understand the use of Iterate Row Selection in ModelBuilder, see the illustration below, where the model creates a deviational ellipse for theft incidents during different periods of the day—morning, afternoon, evening, and night—to detect an underlying pattern of crime.

Can a model have more than one iterator?

Only one iterator can be used per model. The options to add another iterator will be disabled if one iterator exists in the model. If an iterator is added to a model, all tools in the model iterate for each value in the iterator.

What are the output variables of an iterator?

Iterate Feature Classes has two output variables: the output feature class and the name of the feature class. The output feature class can be connected to the next tool for processing, and the Name variable can be used for inline variable substitution.