Add to ORKG1 Introduction Processing spatial information often entails dealing with regions which are vague or incompletely determined in some sense. Understanding vagueness, indeterminacy and imprecision is therefore of considerable practical importance [3] in geographic information systems (GIS). In this paper we are concerned with the theory of spatial relations between indeterminate regions.
This paper investigates the problem of reasoning about imprecise spatial information. As a represent...
International audienceHow do people tackle indeterminate spatial descriptions, that is those descrip...
Imprecision in spatial data arises from the granularity or resolution at which observations of pheno...
AbstractSystems of relations between regions are an important aspect of formal theories of spatial d...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
Abstract: Spatial reasoning is crucial in many AI application domains, such as robotics, qualitative...
The study of spatial relations has been an important research topic in a number of different domain...
This paper deals with the problem of merging descriptions of approximate spatial location specified ...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
AbstractIn fields such as medicine, geography, and mechanics, spatial reasoning involves reasoning a...
The uncertain regions are modeled by broad boundary regions, while the description and reasoning of ...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
In geographic information retrieval users use names of geographic regions that do not have a well-de...
An important component of spatial data quality is the imprecision resulting from the resolution at w...
This paper investigates the problem of reasoning about imprecise spatial information. As a represent...
International audienceHow do people tackle indeterminate spatial descriptions, that is those descrip...
Imprecision in spatial data arises from the granularity or resolution at which observations of pheno...
AbstractSystems of relations between regions are an important aspect of formal theories of spatial d...
Various intelligent systems rely heavily on for malisms for spatial representation and reasoning. Ho...
Abstract — Various intelligent systems rely heavily on formalisms for spatial representation and rea...
Abstract: Spatial reasoning is crucial in many AI application domains, such as robotics, qualitative...
The study of spatial relations has been an important research topic in a number of different domain...
This paper deals with the problem of merging descriptions of approximate spatial location specified ...
Qualitative spatial information plays a key role in many applications. While it is well-recognized t...
AbstractIn fields such as medicine, geography, and mechanics, spatial reasoning involves reasoning a...
The uncertain regions are modeled by broad boundary regions, while the description and reasoning of ...
AbstractQualitative spatial information plays a key role in many applications. While it is well-reco...
In geographic information retrieval users use names of geographic regions that do not have a well-de...
An important component of spatial data quality is the imprecision resulting from the resolution at w...
This paper investigates the problem of reasoning about imprecise spatial information. As a represent...
International audienceHow do people tackle indeterminate spatial descriptions, that is those descrip...
Imprecision in spatial data arises from the granularity or resolution at which observations of pheno...