What is a necessary quality of data utilized in GIS modeling?

A necessary quality of data utilized in GIS modeling is that it must be comprehensive and relevant. Comprehensive data encompasses all necessary aspects of the subject being studied, ensuring that the model reflects the complexity of real-world conditions. For effective GIS modeling, it's crucial to have data that accurately represents the features and relationships relevant to the analysis being performed. This relevance ensures that the model can provide valuable insights and inform decision-making processes effectively.

In making sure data is comprehensive and relevant, one supports the analytical integrity of the GIS project. Data that lacks depth or applicability could lead to misleading results, which could misinform users or stakeholders relying on the analysis for important decisions. Thus, it is essential that the data not only includes all necessary variables but also aligns with the specific objectives of the modeling effort.