Which of the following is NOT a characteristic of high-quality GIS data?

High-quality GIS data is characterized by several key attributes that ensure its accuracy, utility, and effectiveness for decision-making. One of the primary characteristics is completeness, which refers to the extent to which all necessary data is present for the area or phenomenon being studied. Another critical characteristic is timeliness, which involves the data being up-to-date and relevant to current conditions. Additionally, relevance ensures that the data is suitable for the specific purpose for which it is used, providing meaningful insights and context.

In contrast, inconsistency is a feature that undermines the quality of GIS data. Inconsistent data may arise from various sources or different formats that do not align with each other, leading to confusion and potentially erroneous conclusions. Therefore, the presence of inconsistency would indicate a lack of quality, making it an inappropriate characteristic of high-quality GIS data. Recognizing this distinction helps in the evaluation and selection of data for effective GIS applications.