What term refers to the level of measurement and exactness of attribute data?

The term that refers to the level of measurement and exactness of attribute data is precision. In the context of GIS and data analysis, precision relates to the detail and specificity of the measurements or values being represented. High precision means that the measurements are consistent and tightly clustered around a true value, indicating a high level of detail.

In practical terms, when data is described as having high precision, it means that multiple measurements will yield similar values, which is crucial for various analyses and interpretations in GIS. This is different from accuracy, which relates to how close a measured value is to the actual, true value. Precision focuses on the reproducibility of measurements, rather than their correctness relative to a standard.

Resolution refers to the smallest discernible detail that can be detected in spatial data, whereas reliability denotes the overall trustworthiness or dependability of data, influenced by factors such as data collection methods and processing. By understanding precision in the context of attribute data, users can better interpret the quality and usability of the information they are working with in geospatial analyses.