According to the SDTS, what type of accuracy is SDTS concerned with?

The Spatial Data Transfer Standard (SDTS) is primarily concerned with data accuracy, which refers to how closely a dataset represents the true values or characteristics of the geographic phenomena it is intended to represent. Data accuracy encompasses several dimensions, including positional accuracy (the accuracy of the location of features), attribute accuracy (the correctness of the attribute values), and temporal accuracy (the correctness of the time reference of the data).

In the context of SDTS, the standard focuses on ensuring that the data being exchanged between different systems and applications maintains its integrity and quality. This means that users can trust that the information is reliable and can be used in various applications without compromising its utility or leading to errors in analysis.

While the other types of accuracy mentioned—such as map accuracy, graphical accuracy, and visual accuracy—may relate to different aspects of cartography or data representation, they do not capture the primary focus of SDTS, which is about the reliability of the data itself. Therefore, data accuracy is the most fitting choice when discussing the concerns outlined in the SDTS.