Which of the following is a limitation of raster data representation?

Raster data representation has a specific structure that inherently limits its ability to accurately model certain types of spatial features. One key limitation is that raster data typically represents continuous fields through a grid of pixels, where each pixel corresponds to a value over a defined area. This means that raster data is excellent for capturing gradual changes in features, such as elevation gradients, temperature variations, or land cover transitions.

The correct answer highlights a common issue: while raster data is useful for illustrating continuous phenomena, it struggles to represent sharp boundaries or distinct features. For example, vegetation cover might transition gradually from one type to another, which is well-suited for raster representation. However, raster data can become less effective when detailing sharp edges, such as the boundaries of a property line or the shape of a building, leading to inaccuracies in representation for those details.

This characteristic, combined with the fixed grid structure of raster data, means that it inherently blurs the resolution of features and can create challenges in analyses that require precision. In contrast to vector data, which can effectively represent sharp edges due to its reliance on points, lines, and polygons, raster data's fixed representation and pixel-based nature make it less ideal for exact delineation of distinct spatial features.