Which type of data in GIS represents distinct entities with defined boundaries?

Discrete data in GIS is characterized by representing distinct entities that have clearly defined boundaries. This type of data is perfect for modeling features such as buildings, roads, or land parcels, where each entity can be precisely identified and measured. Discrete data is often used in vector data formats, where geometries like points, lines, or polygons are utilized to represent specific locations or features on the Earth's surface.

In contrast, continuous data is used to represent phenomena that exist over a continuous range, such as elevation or temperature, which do not have defined boundaries but rather vary progressively across a landscape. Temporal data focuses on information related to time, which is more about the dimension of change than about spatial characteristics. Raster data consists of grid cells that can represent either continuous or discrete information, but without the clarity of distinct boundaries that characterizes discrete data. Hence, the identification of discrete data as representing distinct entities with defined boundaries is a critical aspect of effectively managing and analyzing geographic information.