Current implementations of spatial databases are not capable of handling data that is intrinsically indeterminate or vague. The goal of the Vague Spatial Algebra (VASA) project is to define concepts and implementations that will address this problem. In this paper we further develop work on topological predicates between vague spatial objects. The new developments make use of spatial reasoning ...

A special class of applications, which connects spatial database and mobile computing, requires query processing whose results depend on the geographic location of the mobile unit. Dealing with these location-dependent queries is the focus of this work. This paper presents a spatial query processing model based on location-dependent semantic cache. In addition, this paper proposes a solution fo...

Spatial database systems built on top of distributed and heterogeneous spatial information sources such as conventional spatial databases underlying Geographical Information Systems (GIS), spatial data files and spatial information acquired or inferred from the Web, suffer from data integration and topological consistency problems. These issues make the globally-integrated spatial database inco...

Spatial data balancing distribution can evidently improve the performance of parallel spatial database in shared nothing parallel architecture. Considering spatial locality and unstructured variable length characteristics of spatial data, this paper proposes a dynamic spatial data balancing distribution method under shared nothing parallel database environment. By using Hilbert ordering code to...

IntroductIon Spatial data management has been an active area of intensive research for more than two decades. In order to support spatial objects in a database system several important issues must be taken into account such as: spatial data models, indexing mechanisms and efficient query processing. A spatial database system (SDBS) is a database system that offers spatial data types in its data...

Spatial networks find application in the areas of transportation GIS, network analysis, city planning and others. To effectively use them, it is essential to store spatial networks inside database systems. This paper shows how a user would conceptually view and make use of spatial networks in a database. The discussion has been based on a spatial network data type called snet which can store th...

In this paper a visual approach to querying in large spatial databases is presented. A diagrammatic technique utilising a data flow metaphor is used to express different kinds of spatial and non-spatial constraints. Basic filters are designed to represent the various types of queries in such systems. Icons for different types of spatial relations are used to denote the filters. Different granul...

SubgroupMiner is an advanced subgroup mining system supporting multirelational hypotheses, efficient data base integration, discovery of causal subgroup structures, and visualization based interaction options. When searching for dependencies between subgroups and a target group, spatial subgroups with multirelational descriptions are explored. Search strategies of data mining algorithms are eff...

Spatial database generalization deals not only with geometrical simplification, but also with changes in database schema and content. The purpose of this research is to suggest methods for database generalization through the abstraction of a detailed spatial database. To accomplish this goal, this study suggests a framework for database generalization, and then defines operators that reflect th...