Cognitive Integration Of Objective Choropleth Map Attribute Information

Dados Bibliográficos

ID14701780
AutoresTHEODORE STEINKE (University of South Carolina, autor correspondente), Theodore R Steinke (University of South Carolina), Robert E Lloyd, Robert Lloyd (0000-0002-5771-9900)
Ano1981
Volume18
Fascículo1
Páginas13-23
Data de publicação1981-03-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Identificadores do periódicoISSN: 0317-7173 • E-ISSN: 1911-9925
EditoraUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/k347-0715-8176-813n
OpenAlexW1991113513
IdiomaEN
Citações recebidas6

An experiment was conducted to determine the relative importance of three map attributes (correlation, blackness and complexity) for judging the similarity of choropleth maps. Subjects rated pairs of maps prepared using two different map classing algorithms according to the map pairs' visual similarity. By relating cognitive measures of visual similarity to objective measures of the three map attributes, the relative importance of correlation, blackness and complexity to the subjects' decision-making process was determined. Using several analyses of variance procedures it was concluded that blackness was the most important attribute for judging similarity followed by correlation and complexity, in that order. It was also determined that the particular maps sued, i.e., those constructed using different classing algorithms, significantly affected the map readers' use of correlation, blackness and complexity information

Correlation · Data mining · Image (mathematics · Pattern recognition (psychology · Similarity (geometry · Variance (accounting · Cognitive Science and Mapping · Computer Science · Mathematics · Artificial Intelligence