Which mapping classification is MOST appropriate in mapping robbery locations over the last year to get a sense of the data distribution?

Question

Quizplus · Accepted Answer

Density mapping would be the most appropriate option in order to get a sense of the data distribution of robbery locations over the last year. Density mapping will provide a visual representation of the data distribution by depicting areas of higher and lower density of robberies. Other mapping classifications such as equal interval, quantile, and standard deviation would not be ideal for this purpose.

Which Mapping Classification Is MOST Appropriate in Mapping Robbery Locations