Which tool can be utilized for an analysis involving layers that share the same attribute values?

The Union tool is designed to combine multiple input layers, creating a new output layer that contains all features and attributes from each input. This means that when you have layers that share the same attribute values, the Union tool will overlay these layers and merge their geometries, enabling you to see how they interact spatially while maintaining all original attribute information.

The result of using the Union tool is a comprehensive dataset that allows for further spatial analysis and visualization of overlapping features. This is particularly useful in circumstances where you need to analyze the relationships and intersections of features that share the same attribute values, providing a more complete picture of the data.

In contrast, the other tools mentioned serve different purposes—Merge combines datasets into one without regard for their spatial relationships, Identity calculates the intersection of input features while keeping only the attributes of one layer, and Clip extracts features based on the spatial boundaries of another layer without merging underlying attributes.