Fundamentals of Geographic Information Systems (GIS) Practice Test

The term that describes the correctness of descriptive data in GIS is attribute accuracy. It specifically refers to the degree to which the attributes or values associated with geographic features correctly represent the actual characteristics they intend to describe. High attribute accuracy means that the data accurately reflects real-world conditions, which is crucial for effective analysis and decision-making in GIS applications.

For instance, if a dataset includes information about land use, attribute accuracy ensures that the data correctly identifies each area (such as residential, commercial, or industrial). When attribute data is inaccurate, it can lead to misleading conclusions and affect the reliability of analyses conducted with that data.

Other terms like logical consistency, completeness, and data lineage relate to different aspects of data quality, but they do not specifically address the correctness of the descriptive attributes themselves. Logical consistency checks whether the data follows certain logical rules (e.g., no overlapping land use categories). Completeness focuses on whether all necessary data is present. Data lineage tracks the origin and transformations of the data over time. While these aspects are important for overall data quality, they are distinct from the concept of attribute accuracy.