Which concept refers to data adherence to expected rules, such as no overlapping roads?

Logical consistency refers to the adherence of data to defined rules and standards within a dataset. In the context of GIS, this means that the spatial data should behave in accordance with established logical constraints. For example, when dealing with road networks, logical consistency would ensure that roads do not overlap inappropriately or that lines connecting points do not intersect in ways that violate geographic rules. This concept is essential for maintaining the integrity and usability of spatial data, as inconsistencies can lead to erroneous conclusions and ineffective decision-making based on that data.

The elements of logical consistency help to verify that the relationships and structures in the geographic dataset conform to expectations, making it possible for users to trust and effectively utilize the data in analysis and application. In contrast, attribute accuracy focuses on the correctness of attribute data tied to geographic features, temporal accuracy deals with the timing and relevance of the data, and completeness refers to the extent to which all required data is present in a dataset. However, none of these address the specific need for data to adhere to relational rules as clearly as logical consistency.