Which GIS data model is frequently used for three-dimensional data?

The Triangulated Irregular Network (TIN) is the correct choice for representing three-dimensional data due to its ability to accurately depict surfaces in three-dimensional space. TIN models are constructed using a set of non-overlapping triangles formed from a network of points that represent elevation changes. This method allows for efficient storage and manipulation of complex surface data, making it particularly useful in applications such as terrain modeling, hydrology, and any analysis where the surface shape is important.

The TIN data model can represent variable densities of sample points, which contributes to a more accurate representation of the terrain compared to other methods that may use uniform grids. This flexibility allows for detailed analyses, especially in areas where terrain varies significantly.

While options like Raster and LIDAR do relate to three-dimensional data representation, they do so in different contexts or applications. Raster data typically represents surfaces in a grid format that is best suited for continuous data but lacks the precise detail that TIN can provide in variable terrain. LIDAR, on the other hand, is a data collection method that produces point clouds, which can be converted into TIN models, but it is not a data model in itself. Bathymetry is focused on underwater features and typically relates to the representation of