Consistent Queries over Cardinal Directions across Different Levels of Detail
نویسندگان
چکیده
Roop K. Goyal and Max J. Egenhofer National Center for Geographic Information and Analysis and Department of Spatial Information Science and Engineering 348 Boardman Hall University of Maine Orono, ME 04469-5711 {rgoyal, max}@spatial.maine.edu Abstract Current models for cardinal directions, such as north and northeast, are either point-based or region-based, but no models exist that apply equally, independent of the geometric data types (be it points, lines, or polygons). To allow users to formulate queries such as “Find all towns in Maine that are northeast of Augusta” without pondering about the cities’ geometric data types, we extend the model of the model of the direction-relation matrix to handle arbitrary pairs of points, lines, and polygons. This new model, called the deep direction-relation matrix, retains the 3×3 structure of the direction-relation matrix with empty and non-empty tiles, while it records additionally neighbor codes for empty tiles to capture whether the tiles’ boundaries are empty or not. This extension covers all intricacies imposed by line and point objects, yielding a unifying and consistent model for cardinal directions. It enables the use of cardinal directions in spatial query languages independent of the objects’ geometric data types.
منابع مشابه
Computing the Cardinal Direction Development between Moving Points in Spatio-temporal Databases
In the same way as moving objects can change their location over time, the spatial relationships between them can change over time. An important class of spatial relationships are cardinal directions like north and southeast. In spatial databases and GIS, they characterize the relative directional position between static objects in space and are frequently used as selection and join criteria in...
متن کاملThe 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...
متن کاملQuerying Cardinal Directions between Complex Objects in Data Warehouses
Data warehouses help to store and analyze large multidimensional datasets and provide enterprise decision support. With an increased availability of spatial data in recent years, several new strategies have been proposed to enable their integration into data warehouses and and perform complex OLAP analysis. Cardinal directions have turned out to be very important qualitative spatial relations d...
متن کاملThe 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...
متن کاملComposition for Cardinal Directions by Decomposing Horizontal and Vertical Constraints
In this paper, we demonstrate how to group the nine cardinal directions into sets and use them to compute a composition table. Firstly, we define each cardinal direction in terms of a certain set of constraints. This is followed by decomposing the cardinal directions into sets corresponding to the horizontal and vertical constraints. We apply two different techniques to compute the composition ...
متن کامل