Which workflow is specific to Map Viewer compared to Map Viewer Classic?

The workflow of clustering large datasets is specific to Map Viewer, as it provides enhanced data visualization capabilities that allow users to effectively manage and view large volumes of data in a more concise manner. In Map Viewer, clustering can simplify the display of data points that are geographically close to one another, helping to prevent overcrowding on the map and allowing for a clearer interpretation of data trends and distributions.

This capability is particularly useful for datasets with numerous points, as it helps to improve map performance and usability. By enabling direct interaction with clustered data points, users can click on these clusters to see underlying data, enhancing the exploratory data analysis experience.

Other workflows mentioned have different interfaces or capabilities in both Map Viewer and Map Viewer Classic, which do not represent unique functionalities in the context of Map Viewer. For example, styling basemap galleries, implementing field data collection, and creating 3D scenes are features that can be performed in both versions, though they might be executed differently. Thus, clustering is distinctly tied to the new features and advancements in Map Viewer.