Why is it necessary to include all relevant variables in a GIS model?

Including all relevant variables in a GIS model is essential for ensuring the accuracy and relevance of the analysis. Each variable provides critical information that influences the outcomes and interpretations of the model. When relevant variables are omitted, the model may produce misleading results or fail to capture important relationships within the data. This can lead to incorrect conclusions, which can significantly affect decision-making processes in various applications, such as urban planning, environmental management, and resource allocation.

A well-structured model that accounts for all pertinent factors enables analysts to understand the interactions and dependencies between different elements of the geographic space being studied. Therefore, thorough consideration of relevant variables contributes not only to the integrity of the analysis but also enhances the credibility and reliability of the results derived from the GIS model.