Vector Overlay is used for which data type?

• A. Continuous data such as heat maps.
• B. Temporal data such as population changes.
• C. 3D terrain models.
• D. Discrete data such as points, lines, and polygons.

Answer: (D)

Vector Overlay focuses on combining datasets by examining how discrete geometric features relate to each other. It’s built to work with features that have well-defined boundaries—points, lines, and polygons—so you can compute intersections, unions, differences, and other spatial relationships and carry along attribute information from the inputs to create a new, combined layer. This geometric, topological pairing is what makes overlay operations natural and powerful for discrete vector data.

Continuous data like heat maps are typically stored as rasters, where every cell holds a value rather than a defined boundary, so overlaying them follows cell-by-cell calculations rather than feature-based geometry. Temporal data deals with changes over time rather than spatial boundaries, and while you can track time-related attributes, the standard overlay concept centers on spatial features. 3D terrain models can be represented in various forms, but the classic vector overlay targets 2D discrete features, not the general case of 3D surfaces.