This paper presents a system developed at unicamp for automatically maintaining topological constraints in a geographic database. This system is based on extending to spatial data the notion of standard integrity maintenance through active databases. Topological relations, deened by the user, are transformed into spatial integrity constraints, which are stored in the database as production rule...

In this paper we discuss two data models for spatial database systems: the linear data model and the topological data model . Both can be used to model a wide range of applications. The linear data model is particularly suited to model spatial database applications in which exact geometrical information is required and in which this information can be approximated by linear geometrical spatial ...

This document describes the Po-tree, a new indexing structure for spatiotemporal databases with real-time constraints. Natural risks management and other system can use arrays of spatially referenced sensors. Each on them sending their measurements to a central database. Our solution tries to facilitate the indexing of these data, while favoring the newer ones. It does so by combining two sub-s...

“Spatial data mining, or knowledge discovery in spatial database, refers to the extraction of implicit knowledge, spatial relations, or other patterns not explicitly stored in spatial databases.” (Koperski and Han, 1995) Data mining, or knowledge discovery in databases, refers to the “ discovery of interesting, implicit, and previously unknown knowledge from large databases.” (Frawley et al, 1992)

In this paper, we introduce an indexing method for accessing spatial databases. The index structure described here is multi-dimensional and is an extension of Multilevel Grid File (MLGF) combined with the z-ordering technique to efficiently handle indexing on the spatial components of the objects. The other important property of the proposed index structure is to be able to index on fuzzy infor...

Spatial data warehouses (SDWs) and spatial OLAP (SOLAP) are well-known business intelligence (BI) technologies that aim to support multidimensional and online analysis of huge volumes of data with spatial reference. Spatial vagueness is one of the most neglected imperfections of spatial data. Although several works propose new ad-hoc models for handling spatial vagueness, their implementation i...

Because of the large spatial and temporal variability of soil organic carbon (SOC) dynamics, a modelling approach is crucial in detailed regional analyses. Several estimates of regional scale SOC sequestration potential have been made using dynamic soil organic matter (SOM) models which have been linked to spatial databases contained within a Geographic Information System. In all these previous...

Spatial Database Systems are very large databases requiring storage in disk devices. The join process between two relations that is based on spatial nature of the attributes needs repeated and redundant disk accesses. This necessitates the implementation of join index which accelerates the join processing between two relations and it incurs high over head. This work studies the heuristics that ...