In vector data models, which geometric primitives are used to represent features such as city boundaries?

In vector data models, which geometric primitives are used to represent features such as city boundaries?

• A. Points, lines, and polygons.
• B. Grids of cells.
• C. Raster pixels only.
• D. Continuous surfaces.

Answer: (A)

In vector data models, geographic features are stored as discrete geometric shapes: points for locations, lines for linear features, and polygons for areas. City boundaries define an enclosed area, so they’re represented as polygons—a closed loop of connected line segments that creates the boundary and the area inside it. This lets you attach attributes to the city’s extent (like population or land use) and perform area-based analyses. The other options describe raster approaches—grids of cells or pixels and continuous surfaces—which are not how vector features like city boundaries are modeled.

In vector data models, geographic features are stored as discrete geometric shapes: points for locations, lines for linear features, and polygons for areas. City boundaries define an enclosed area, so they’re represented as polygons—a closed loop of connected line segments that creates the boundary and the area inside it. This lets you attach attributes to the city’s extent (like population or land use) and perform area-based analyses. The other options describe raster approaches—grids of cells or pixels and continuous surfaces—which are not how vector features like city boundaries are modeled.