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Computation and elicitation of valleyness


Straumann, Ralph K; Purves, Ross S (2011). Computation and elicitation of valleyness. Spatial Cognition and Computation, 11(2):178-204.

Abstract

Existing methods for land surface form characterisation often focus on relatively simple landform element classifications and do not evaluate results with large scale participant experiments. This piece of research takes a semantics-grounded approach to characterising the landform valley. Based on definitions three algorithms to characterise valleys in a fuzzy way are introduced. Comparison of the results to assessments regarding the degree of being in a valley gained from over 800 participants in a questionnaire survey yields significant amounts of explained variance (R2 D 0.35–0.37). Furthermore, accounting for very ambiguously perceived stimuli showing vast low places leads to markedly improved regressions (R2 D 0.45–0.49), weighting of the data with a measure of uncertainty in judgment even more so (R2 D 0.50–0.55).

Abstract

Existing methods for land surface form characterisation often focus on relatively simple landform element classifications and do not evaluate results with large scale participant experiments. This piece of research takes a semantics-grounded approach to characterising the landform valley. Based on definitions three algorithms to characterise valleys in a fuzzy way are introduced. Comparison of the results to assessments regarding the degree of being in a valley gained from over 800 participants in a questionnaire survey yields significant amounts of explained variance (R2 D 0.35–0.37). Furthermore, accounting for very ambiguously perceived stimuli showing vast low places leads to markedly improved regressions (R2 D 0.45–0.49), weighting of the data with a measure of uncertainty in judgment even more so (R2 D 0.50–0.55).

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6 citations in Web of Science®
6 citations in Scopus®
6 citations in Microsoft Academic
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Scopus Subject Areas:Physical Sciences > Modeling and Simulation
Social Sciences & Humanities > Experimental and Cognitive Psychology
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Earth-Surface Processes
Physical Sciences > Computer Graphics and Computer-Aided Design
Language:English
Date:2011
Deposited On:23 Dec 2011 07:56
Last Modified:30 Jul 2020 02:26
Publisher:Taylor & Francis
ISSN:1387-5868
OA Status:Closed
Publisher DOI:https://doi.org/10.1080/13875868.2010.537797

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