What standard measures spatial data accuracy in geospatial information systems?

The National Standard for Spatial Data Accuracy (NSSDA) is the correct choice for measuring the spatial data accuracy in geospatial information systems. NSSDA provides a framework for assessing the accuracy of spatial data by comparing it to known control points or data sets. It establishes standard procedures that allow users to determine the positional accuracy of digital geospatial data, which is crucial for ensuring the data's reliability and utility in various applications such as mapping, surveying, and geographic analysis.

Accurate spatial data is vital for decision-making across many fields, including urban planning, environmental management, and resource allocation. NSSDA emphasizes statistical approaches for determining accuracy levels, offering a clear set of guidelines for evaluating accuracy through root mean square error (RMSE) and establishing standards for different types of geographic datasets.

The other options, while they may represent different standards or organizations, do not specifically pertain to the widely recognized framework for measuring spatial data accuracy like the NSSDA does. This makes NSSDA the appropriate answer for this question regarding geospatial information systems.