@inproceedings { , title = {When size matters: Towards evaluating perceivability of choropleths}, abstract = {Choropleth maps are an invaluable visualization type for mapping geo-spatial data. One advantage to a choropleth map over other geospatial visualizations such as cartograms is the familiarity of a non-distorted landmass. However, this causes challenges when an area becomes too small in order to accurately perceive the underlying color. When does size matter in a choropleth map? We conduct an experiment to verify the relationship between choropleth maps, their underlying color map, and a user’s perceivability. We do this by testing a user’s perception of color relative to an administrative area’s size within a choropleth map, as well as user-preference of fixed-locale maps with enforced minimum areas. Based on this initial experiment we can make the first recommendations with respect to a unit area’s minimum size in order to be perceivably useful.}, conference = {Computer Graphics and Visual Computing, CGVC 2018}, doi = {10.2312/cgvc.20181221}, isbn = {9783038680710}, note = {No embargo}, organization = {Swansea, UK}, pages = {163-171}, publicationstatus = {Published}, url = {https://nottingham-repository.worktribe.com/output/1164976}, volume = {2018-September}, year = {2018}, author = {McNabb, Liam and Laramee, Robert S. and Wilson, Max L.} editor = {Tam, G. and Vidal, F.} }