Which is a benefit of using less detailed datasets as the scale of a map decreases?

Using less detailed datasets as the scale of a map decreases offers a significant benefit in terms of file size reduction. When maps are created at a smaller scale, they represent larger areas while using fewer data points. This inherently results in smaller file sizes since less detailed datasets require less memory and storage space. This is particularly advantageous in geospatial applications where large datasets can become cumbersome and slow to process. Smaller file sizes not only enhance performance during loading and data manipulation but also facilitate easier sharing and transmission of geospatial information, especially over networks with limited bandwidth.

In contrast, options focusing on improved accuracy or increased detail would typically not be associated with less detailed datasets. Therefore, it is critical to understand that the primary advantage in this scenario revolves around the practical implications of file management and efficiency that come with utilizing simplified datasets at broader scales.