What is one disadvantage of raster data?

Raster data is comprised of pixels, and each pixel represents a specific area and its associated data value. One significant disadvantage of using raster data is the large file sizes that can result from this structure. Each individual pixel requires storage space, and in high-resolution images, the number of pixels can be extremely high, leading to substantial file sizes. This makes it challenging to manage and transfer such data, especially in environments with limited storage capacity or bandwidth.

Additionally, large file sizes can complicate processing tasks, as computational resources may be strained when handling such voluminous datasets. This is especially relevant in applications that involve extensive areas or high-resolution imagery, where the resulting raster datasets might impede efficiency and practicality. Therefore, while raster data is beneficial for certain types of analyses, the con associated with large file sizes can pose significant operational challenges.