![]() All model elements in the process have color. Ready to runĪ process is ready to run when the tool has all required parameters filled in. The tool and its inputs and outputs are gray. When you initially drag a tool into ModelBuilder, the process is in a not-ready-to-run state because the required parameter values have not been specified. A process in a model can be in one of four states: not ready to run, ready to run, running, and has been run. Many processes can be chained together to create a larger process. Connector lines indicate the sequence of processing. These groups can be expanded and collapsed.ĭescriptions of model elements Processes and stateĪ model process consists of a tool and all variables connected to it. Groups are visual categories that include other elements in the model. ModelBuilder utilities are tools that are helpful in constructing models and only work within ModelBuilder, not in scripting. Logical tools are used to control the logical flow of models. ![]() Logical tools are special ModelBuilder-only tools that branch the model based on different conditions. Iterators are special ModelBuilder-only tools that repeat the same operation or loop through a set of input data or values. Tools in ModelBuilder also include special tools such as iterators, ModelBuilder utilities, and ModelBuilder logical tools. These include all tools you will find in a system toolbox as well as custom model and script tools. Tools are geoprocessing tools added to the model. The Calculate Value tool, for example, outputs the result of a logical or mathematical calculation. Derived values can be inputs to other tools. Value variables contain anything but references to layers or data stored on (true/false values), spatial references, linear units, or extents. 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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