A salience-based approach for the modeling of landscape descriptions

Authors:
Jean-Marie Le Yaouanc;Éric Saux;Christophe Claramunt
Affiliations:
Naval Academy Research Institute, Brest Naval, France;Naval Academy Research Institute, Brest Naval, France;Naval Academy Research Institute, Brest Naval, France
Venue:
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2009

Citing 3
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Abstract

While conventional GIS maps have long been a privileged way for the integration and diffusion of geographical information, novel forms of representation and description of urban and natural environments are nowadays emerging. In particular, verbal and textual descriptions of landscapes are progressively considered as alternative modeling resources for GIS. The research presented in this paper introduces a salience-based approach whose objective is to identify the noticeable entities of a natural landscape description. The model is based on a structural analysis of a given description, where salient entities are identified at the linguistic and structural levels. Salient entities are also spatially qualified according to their relative location with respect to a given observer.