Systems integration allows information to be shared amongst disparate systems and enables your enterprise assets to realize their full potential.By taking an enterprise approach with your integration ...

Spatial data partitioning is a technique to divide large and complex spatial datasets into smaller and manageable chunks, based on spatial criteria such as location, distance, or geometry.

Finally, there is the question of how best to present this data to a human operator. Human systems require not just analysis, but presentation which encourages timely, proactive or corrective ...

The Integrated spatial systems combine multiple spatial tools and data types to enhance data storage, retrieval, and visualization in real time. In addition, the integrated system architecture ...

Spatial data indexing is an essential component in most big spatial data management systems. The state-of-the-art global indexing techniques rely on reusing existing index structures with a sample ...

Abstract: Spatial data mining is to extract implicit knowledge, spatial relations as well as other non-explicitly information which included in the spatial database but it exist with other model from ...

Spatial databases are essential for storing, managing, and analyzing geospatial data in Geographic Information Systems (GIS). However, designing a spatial database that meets the needs and ...

This paper focuses on the spatial component in a humanities cyberinfrastructure, which includes issues of conflicting data, heterogeneous data models, disambiguation, and geographic scale. First, we ...

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01).