Which of the following is NOT an advantage of data generalization in GIS?

Data generalization is a crucial process in GIS that involves simplifying complex data while retaining essential information for effective map-making and analysis. The correct answer indicates that enhancing details for analysis is not an advantage of data generalization. In fact, generalization often leads to a reduction in details to create a clearer, more readable map. This process involves simplifying features, reducing the amount of information, and sometimes omitting less critical data, which can negatively impact the richness of the information provided for detailed analysis.

On the other hand, the other options represent clear advantages of data generalization. Faster map drawing is facilitated because less data translates to less processing time. Concealing sensitive information is another key benefit; by generalizing data, GIS can mask specific attributes or features that could compromise privacy or security. Additionally, decluttering the map at larger scales helps in improving readability and ensures that critical features remain prominent without overwhelming the user with unnecessary detail. Hence, while generalization serves various important purposes, enhancing details for analysis is not one of them.