What effect does high-resolution data have on file management in GIS?

High-resolution data typically provides a greater level of detail, which directly leads to larger file sizes. In GIS, higher resolution data consists of more data points or pixels per area, resulting in increased storage requirements. This is especially significant in raster datasets, where each pixel can represent a unique value, contributing to the overall size of the file. As a consequence, managing such large files can pose challenges, as they may require more robust storage solutions and affect the speed of data processing and transfer.

The other choices do not accurately describe the primary effect of high-resolution data on file management. For instance, while improved organization and reduced duplication could be seen in a well-structured GIS project, they are not direct consequences of having high-resolution data. Similarly, improved data retrieval could be a result of better indexing or metadata practices, but this is not inherently linked to the resolution of the data itself.