Perception of clusters in statistical maps

Stephan Lewandowsky, Douglas J. Herrmann, John T. Behrens, Shu‐Chen ‐C Li, Linda Pickle, Jared B. Jobe

Research output: Contribution to journalArticle

19 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)533-551
Number of pages19
JournalApplied Cognitive Psychology
Volume7
Issue number6
DOIs
StatePublished - Nov 1993

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)

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    Lewandowsky, S., Herrmann, D. J., Behrens, J. T., Li, SC. C., Pickle, L., & Jobe, J. B. (1993). Perception of clusters in statistical maps. Applied Cognitive Psychology, 7(6), 533-551. https://doi.org/10.1002/acp.2350070606