Cardinal directions: a comparison of direction relation matrix and objects interaction matrix

The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases

Besides topological relations and approximate relations, cardinal directions have turned out to be an important class of qualitative spatial relations. In spatial databases and GIS they are frequently used as selection criteria in spatial queries. But the available models of cardinal relations suffer from a number of problems like the unequal treatment of the two spatial objects as arguments of...

The Direction-Relation Matrix: A Representation for Direction Relations between Extended Spatial Objects

Cardinal directions are an important component of spatial relations, complementing topological relations and approximate distances as qualitative representations of space. They are frequently used as a selection criterion in spatial queries and for assessing similarities of spatial scenes. Past research in geographic information science has focused on the representation of cardinal directions, ...

On inconsistency of a pairwise comparison matrix

Reasoning about Cardinal Directions between Extended Objects

Direction relations between extended spatial objects are important commonsense knowledge. Recently, Goyal and Egenhofer proposed a formal model, known as Cardinal Direction Calculus (CDC), for representing direction relations between connected plane regions. CDC is perhaps the most expressive qualitative calculus for directional information, and has attracted increasing interest from areas such...

The Objects Interaction Graticule for Cardinal Direction Querying in Moving Objects Data Warehouses

Cardinal directions have turned out to be very important qualitative spatial relations due to their numerous applications in spatial wayfinding, GIS, qualitative spatial reasoning and in domains such as cognitive sciences, AI and robotics. They are frequently used as selection criteria in spatial queries. Moving objects data warehouses can help to analyze complex multidimensional data of a spat...