Regression maps and correlation maps represent fundamentally different statistical concepts—predictive modeling/dependency versus co-variation—making this statement a matter of basic statistical definition.
The claim states a fundamental definition of statistical mapping: regression models estimate directional dependencies and predicted values, whereas correlation measures mutual association or co-variation. Because this is a definitional truism inherent to statistical methodology, no citation is needed, and the verdict is common knowledge.