Value variables are values such as strings, numbers, Boolean By default, the in/out derived data variable will have the same name as the input data but with a unique number appended at the end. The tool alters the input data when the model is run. The tool creates a dataset that is written to disk when the model is run. When a geoprocessing tool is added to a model, variables for the tool's output parameters are automatically created and connected to the tool. Common data variables include feature class, feature layer, raster dataset, and workspace.ĭerived or output data is new data created by a tool in the model. The illustration and table below show the different model elements in ModelBuilder.ĭata variables are model elements that store paths and other properties of data on disk. These groups can collapse or expand to hide or show tools, providing more visual space to work with. Groups are visual elements that group related tools together.There are four types of connectors: data, environment, precondition, and feedback. The connector arrows show the direction of processing. Connectors connect data and values to tools.There are two types of variables: data and value variables. Variables are elements in a model that hold a value or a reference to data.You can open the tool dialog box of any geoprocessing tool in your model to set the input and output parameters. When tools are added to a model, they become model elements. Geoprocessing tools perform various operations on geographic or tabular data.There are four main types of model elements: geoprocessing tools, variables, connectors, and groups. Model elements are the basic building blocks of models. The model diagram is everything you see when you edit a model in ModelBuilder, including the appearance and layout of the tools and variables in the model. If-then-else branching and logical tools.
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