% pubman genre = article
@article{item_3224327,
title = {{Scaling techniques for modeling directional knowledge}},
author = {Waller, David and Haun, Daniel B. M.},
language = {eng},
issn = {10.1016/S0010-0277(02)00045-8; 0743-3808},
publisher = {Springer},
address = {0743-3808},
year = {2003},
date = {2003},
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{\textquoteright}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{\textquoteright}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.}},
journal = {{Behavior Research Methods, Instruments, {\&} Computers}},
volume = {35},
number = {2},
pages = {285--293},
}