Which of the following are key components of a GIS dataset?

The key components of a GIS dataset include features, attributes, and spatial information.

Features refer to the individual objects represented in a GIS, such as points, lines, or polygons. These could be anything from a city park to a road or a building. Each feature is a representation of a real-world entity on the map.

Attributes provide additional information about each feature. For example, a road feature might have attributes such as its name, length, and type. These attributes help to describe the features further and allow for more detailed analysis.

Spatial information, often represented as coordinates, provides the location context for the features in the dataset. This information enables GIS professionals to understand where features are located in relation to each other and to analyze spatial relationships and patterns.

The other options, while they contain terms relevant to GIS, do not encapsulate the essential elements that make up a GIS dataset as clearly as the correct choice. For instance, layers are important in GIS for organizing data but do not encompass the detailed aspects of features and attributes. Similarly, terms like entities and graphics capture some aspects of GIS but lack the comprehensive description that features, attributes, and spatial information provide.