Bitmap models are a known technique to model field based geographic information. Commonly, geographic information is modelled in a crisp sense, even though in reality it most likely is an approximation. In this article, we present the use of bitmap based structures to model imprecise or uncertain locations and ditto regions: these structures should be considered to be extensions of respectively a point and a polygon. The imprecission or uncertainty is modelled using fuzzy set theory. Apart from presenting the structures, appropriate operators are denned and explained
International audienceThis chapter first shows some examples of geographic data and spatial informat...
International audienceThis chapter first shows some examples of geographic data and spatial informat...
An important component of spatial data quality is the imprecision resulting from the resolution at w...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
In many applications, spatial data often are prone to uncertainty and imprecision. To model this, fu...
Vagueness is an essential part of how humans perceive and understand the geographical world they occ...
© Published under licence by IOP Publishing Ltd. The paper discusses modeling and methods of data vi...
In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy regi...
In this paper a new method is proposed for automating quality control and actualisation of spatial i...
In many applications, spatial data need to be considered but are prone to uncertainty or imprecision...
International audienceThis chapter first shows some examples of geographic data and spatial informat...
International audienceThis chapter first shows some examples of geographic data and spatial informat...
An important component of spatial data quality is the imprecision resulting from the resolution at w...
Traditionally, information in geographic information systems (GIS) is represented as crisp informati...
Traditional databases can manage only crisp information, a limitation that also holds for geographic...
In many applications, spatial data often are prone to uncertainty and imprecision. To model this, fu...
Vagueness is an essential part of how humans perceive and understand the geographical world they occ...
© Published under licence by IOP Publishing Ltd. The paper discusses modeling and methods of data vi...
In this paper we propose a new data model for imperfect geographic information: a twofold fuzzy regi...
In this paper a new method is proposed for automating quality control and actualisation of spatial i...
In many applications, spatial data need to be considered but are prone to uncertainty or imprecision...
International audienceThis chapter first shows some examples of geographic data and spatial informat...
International audienceThis chapter first shows some examples of geographic data and spatial informat...
An important component of spatial data quality is the imprecision resulting from the resolution at w...