English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Scaling techniques for modeling directional knowledge

MPS-Authors
/persons/resource/persons73

Haun,  Daniel B. M.
Language and Cognition Group, MPI for Psycholinguistics, Max Planck Society;
Space, MPI for Psycholinguistics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Waller_2003_Scaling_techniques.pdf
(Publisher version), 337KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Waller, D., & Haun, D. B. M. (2003). Scaling techniques for modeling directional knowledge. Behavior Research Methods, Instruments, & Computers, 35(2), 285-293.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-16CB-9
Abstract
A common way for researchers to model or graphically portray spatial knowledge of a large environment is by applying multidimensional scaling (MDS) to a set of pairwise distance estimations. We introduce two MDS-like techniques that incorporate people’s knowledge of directions instead of (or in addition to) their knowledge of distances. Maps of a familiar environment derived from these procedures were more accurate and were rated by participants as being more accurate than those derived from nonmetric MDS. By incorporating people’s relatively accurate knowledge of directions, these methods offer spatial cognition researchers and behavioral geographers a sharper analytical tool than MDS for studying cognitive maps.