Which mapping technique uses additional information to more accurately represent internal distributions of a phenomenon?

Dasymetric mapping is the technique that utilizes additional information to create a more accurate representation of internal distributions of a phenomenon. This method involves layering specific contextual data—such as demographic, land use, or environmental information—onto mapping to refine how data is represented spatially. By leveraging this supplementary information, dasymetric mapping can delineate areas more precisely than simple choropleth maps, which might assign values uniformly across large geographic areas.

For instance, if a map shows population density, dasymetric mapping would use information about where people actually live (like residential areas versus parks or commercial zones) to provide a clearer picture of population distributions within a given region. This leads to a more nuanced understanding of spatial phenomena by avoiding the assumptions that come with generalized data representations.

The other mapping techniques listed serve different purposes; multivariate displays visualize multiple variables at once but do not necessarily enhance internal distribution accuracy. Dot mapping uses individual points to represent quantities and can illustrate distributions, but it does not incorporate additional information in the same way dasymetric mapping does. Web mapping refers to the practice of creating maps for the internet, which focuses more on accessibility and interactivity rather than on the precision of internal distributions.