The Appropriateness of Using Various Minkowskian Metrics for Representing Cognitive Configurations
Bibliographic Data
| ID | 4142528 |
|---|---|
| Authors | G D Richardson (Department of Geography, University of California at Santa Barbara, Santa Barbara, California 93106, USA, corresponding author) |
| Year | 1981 |
| Volume | 13 |
| Issue | 4 |
| Pages | 475-485 |
| Publication date | 1981-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a130475 |
| OpenAlex | W2127360400 |
| Language | EN |
| Citations received | 5 |
| References cited | 17 |
Cognitive mapping has been a rapidly growing area of research concerned with how cognitive information about environments is represented, interpreted, and used. One area of research has been concerned with what geometry best represents cognitive spatial information. This paper further pursues this topic by examining which of three Minkowskian metrics (city-block, Euclidean, dominance) is most appropriate for representing cognitive configurations
Cognition · Cognitive map · Cognitive psychology · Euclidean geometry · Geometry · Computer Science · Constraint Satisfaction and Optimization · Geographic Information Systems Studies · Mathematics · Psychology · Spatial Cognition and Navigation
The Analysis of Proximities
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
Hierarchical Clustering Schemes
The Analysis of Proximities
Nonmetric Multidimensional Scaling
An Examination Of Some Factors Related To Using Different Minkowski Models In Non-Metric Multidimensional Scaling
Computation of the correspondence of geographical patterns
Representing, Interpreting, and Using Cognized Environments
Goodness of fit for random rankings in Kruskal's nonmetric scaling procedure
| Citations per year | 0.11 |
|---|---|
| Citation span | 1981 - 2006 (26) |
| Highly cited | No |