Which spatial model includes feature classes, feature datasets, and relationship classes?

The geodatabase is a comprehensive spatial model that serves as a repository for geographic data. It incorporates a variety of components that help organize and manage spatial information effectively. Feature classes within a geodatabase represent collections of similar types of geographic features, such as points, lines, or polygons. Feature datasets are used to group related feature classes together based on their spatial relationships. This organization allows for more efficient data management and analysis, as these feature classes can share spatial references and topologies.

Additionally, relationship classes within a geodatabase facilitate the definition of relationships between different feature classes or between feature classes and tables. This is essential for maintaining the integrity of spatial data and enabling complex analyses that require understanding of how different features relate to one another.

Other models, such as raster, TIN (Triangulated Irregular Network), and network models, do not encompass the same combination of components that a geodatabase does. Raster models are based on grid structures for continuous data, TINs represent surface data through triangular facets, and network models focus on analyzing connectivity and flow within a set of interconnected features. None of these alternatives have the same framework for organizing the diverse elements found in a geodatabase, making it the most suitable choice for the question