Multi-scale and multi-criteria mapping of mountain peaks as fuzzy entities

Authors:
Y. Deng;J. P. Wilson
Affiliations:
Department of Geography, Western Illinois University, Macomb, USA;Department of Geography, University of Southern California, Los Angeles, USA
Venue:
International Journal of Geographical Information Science
Year:
2008

Citing 3
Cited 0

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Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
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Abstract

Mountain peaks are mapped as multi-scale entities with modifiable boundaries and variable contents. Four semantic meanings are imported and quantified to first characterize peaks at a range of spatial scales and then evaluate the multi-criteria 'peakness' at each scale. Peakness is defined as the prototypicality of identified summits and as the similarity of each point (cell) to summits. The procedure then summarizes the individual-scale peakness across considered spatial scales into a univariate membership surface. This allows mapping of vague peak entities as non-homogeneous peak regions whose boundaries depend on user-specified peakness thresholds. This procedure was applied in a case study to tackle several challenges in landform delineation, including boundary, spatial continuity, spatial scale, topographic context, and multi-criteria definition.