Perception of clusters in statistical maps

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Stephan Lewandowsky - , University of Oklahoma (Autor:in)
  • Douglas J. Herrmann - , Centers for Disease Control and Prevention (Autor:in)
  • John T. Behrens - , University of Oklahoma (Autor:in)
  • Shu‐Chen ‐C Li - , University of Oklahoma (Autor:in)
  • Linda Pickle - , Centers for Disease Control and Prevention (Autor:in)
  • Jared B. Jobe - , Centers for Disease Control and Prevention (Autor:in)

Abstract

Two experiments observed performance on a cluster identification task across a variety of common statistical maps. Stimulus maps displayed mortality rates for several diseases and subjects had to identify regions of the map that were perceived to form a cluster of particularly high (or low) mortality. Subjects marked the perceived centroid of each cluster, and analyses focused on the dispersion of centroid location across subjects. Under these circumstances, monochrome classed choropleth maps were found to minimize dispersion, compared to a two opposing colours scheme, a dot density map, a pie map, and a categorical (hue‐based) colour scheme. Maps using a familiar geographical unit (i. e. a U. S. state) supported better recall of the information than maps using less familiar and smaller geographical units. The results were found to be interpretable within current cognitive theory.

Details

OriginalspracheEnglisch
Seiten (von - bis)533-551
Seitenumfang19
FachzeitschriftApplied Cognitive Psychology
Jahrgang7
Ausgabenummer6
PublikationsstatusVeröffentlicht - Nov. 1993
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

ORCID /0000-0001-8409-5390/work/142254976