Realm-based spatial data types: the ROSE algebra
The VLDB Journal — The International Journal on Very Large Data Bases
Geo-Relational Algebra: A Model and Query Language for Geometric Database Systems
EDBT '88 Proceedings of the International Conference on Extending Database Technology: Advances in Database Technology
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Solving spatial analysis problems with GeoSAL, a spatial query language
SSDBM'1992 Proceedings of the 6th international working conference on Scientific and statistical database management
Topological relationships between complex spatial objects
ACM Transactions on Database Systems (TODS)
Set Membership Classification: A Unified Approach to Geometric Intersection Problems
IEEE Transactions on Computers
Geometrically Enhanced Conceptual Modelling
ER '09 Proceedings of the 28th International Conference on Conceptual Modeling
| Hi-index | 0.00 |
The traditional spatial data models model space in terms of points, lines, and regions. These models employ a disjoint dimension model in which a spatial object can only consist of a zero, one, or two-dimensional point set. However, such models cannot adequately represent spatial reality. For example, consider a river network that contains both rivers and lakes. Intuitively, this river network is a single object made up of one-dimensional components (the river segments), and two-dimensional components (the lakes). Typically, collection types are used to represent such an object, but they present new problems. In this paper, we propose the PLR partition model that is able to model space in the form of a map geometry that can contain point, line, and region features within the same object. This model solves the problems associated with the traditional spatial data models.