What type of data is represented by vector data models?

Vector data models represent discrete features that are defined by precise coordinate locations. These models are particularly suited for representing entities such as points, lines, and polygons. Points may represent individual locations (like a well or a tree), lines can signify linear features (such as roads or rivers), and polygons are used for areas (like lakes or land parcels).

In contrast, continuous data, which is associated with raster data models, represents phenomena that vary continuously over a space, such as temperature or elevation. Graphs and tables do not capture spatial information directly in a geographic context but instead summarize data in a structured format. Raster images are composed of pixels and are mainly used to depict continuous data rather than discrete features. Hence, the nature of vector data models aligns clearly with the representation of discrete geographic features.