How to separate coordinate and categorical spatial relation components in integrated spatial representations

A new methodology for analysing sketch maps

Bibliographic Data

ID21392078
AuthorsAntonella Lopez (0000-0002-3717-1677, Department of Educational Sciences, Psychology, Communication University of Study Bari Bari Italy, corresponding author), Alessandro O Caffò (0000-0003-3973-8152, Department of Educational Sciences, Psychology, Communication University of Study Bari Bari Italy), Albert Postma (0000-0003-4260-7807, Experimental Psychology Helmholtz Institute Utrecht University Utrecht The Netherlands), Anthony Bosco (0000-0002-9458-3993, Department of Educational Sciences, Psychology, Communication University of Study Bari Bari Italy)
Year2020
Volume61
Issue5
Pages607-615
Publication date2020-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScandinavian Journal of Psychology (JOURNAL)
Journal identifiersISSN: 0036-5564 • E-ISSN: 1467-9450
PublisherWiley (PUBLISHER • GB)
DOI10.1111/sjop.12633
PMID32293035
OpenAlexW3016147534
LanguageEN
Citations received6
References cited57

Spatial relations between landmarks can be represented by means of categories and coordinates. In the present research, this paradigm was applied to sketch maps based on information acquired in goal‐directed behaviour of exploration of a university campus area. The first aim was to investigate whether categorical and coordinate information can be considered conceptually independent in sketch maps. The second aim was to assess which kind of distance measure served better to represent coordinate information in the present case study, and finally to assess the factorial structure of coordinate and categorical data. Analytic methodology as well as statistical analysis were found to confirm that separating coordinate and categorical components was formally as well as empirically appropriate. A series of confirmatory factor analyses showed the best fit for the model with two correlated components, as well as an acceptable reliability of measures emerged. The two components were moderately correlated. Moreover, the adoption of Manhattan distance seemed to be the most effective method to represent coordinate spatial relations in spatial sketch maps of areas acquired through navigation

Algorithm · Categorical variable · Coordinate system · Data mining · Factorial · Machine learning · Pattern recognition (psychology) · Relation (database) · Sketch · Spatial analysis · Spatial relation · Statistics · Artificial Intelligence · Categorization, perception, and language · Computer Science · Geographic Information Systems Studies · Mathematics · Spatial Cognition and Navigation