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  Scaling techniques for modeling directional knowledge

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

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-58E7-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-8A4B-6
Genre: Journal Article

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 Creators:
Waller, David, Author
Haun, Daniel B. M.1, Author                 
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1External Organizations, ou_persistent22              

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 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.

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Language(s): eng - English
 Dates: 2003
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 127576
ISSN: 10.1016/S0010-0277(02)00045-8
 Degree: -

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Title: Behavior Research Methods, Instruments, & Computers
Source Genre: Journal
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Publ. Info: 0743-3808 : Springer
Pages: - Volume / Issue: 35 (2) Sequence Number: - Start / End Page: 285 - 293 Identifier: ISSN: 0743-3808