REPRESENTING GEOGRAPHICAL INFORMATION UNCERTAINTY: EVALUATION OF CURRENT TYPOLOGIES IN GISCIENCE DOMAIN

摘要

Over the last twenty years, research in the area of geographical information uncertainty representation focused primarily on visualisation techniques. Significant effort has been invested in assessing suitability of visual variables, static and dynamic solutions, as well as separate or bivariate relationships for uncertainty representation. Considerably less attention has been devoted to typology of representing uncertainty in the geographical information science (GIScience) domain. This paper presents and evaluates the existing typologies for representing uncertainty. In particular it addresses the role of cartographic design heritage to support a systematic and comprehensive approach to geographical information uncertainty representation. Finally it attempts to consolidate the current efforts and briefly discusses uncertainty representation strategies related to geographical information and their application within the wider geospatial domain.