منابع مشابه
integration of java-based bim with spatial database
java is an object-oriented program that has abundant open-source libraries for application development and 3d model rendering. spatial database is the database that can efficiently store and manage geographic information data though various spatial data management techniques. this paper explores the rationale of coupling java with spatial database to develop an effective platform for future bui...
متن کاملMulti-scale Spatial Database Integration
SUMMARY Due to user requirements, it is very common to encounter situations where multi-scale spatial data is necessary. Data integration is highly desired due to the decreasing long-term costs of obtaining and maintaining data, as well as its beneficial effects on data consistency and accuracy within agencies. Paradoxically, complete and integrated multi-scale spatial databases are very rare. ...
متن کاملIntegration of spatial vector data in enterprise relational database environments
Spatial and geometric data can be found in virtually every relational database. Such data is often not explicitly modeled but rather hidden in addresses, for example. Unless spatial data is treated as first class citizen in the relational database management systems (RDBMSs), spatial features cannot be leveraged and exploited by applications to their full extent. Several products provide the ca...
متن کاملIntegration of Spatial Data in Database Acceleration for Analytics
The IBM DB2 Analytics Accelerator (IDAA) integrates the strong OLTP capabilities of DB2 for z/OS with very fast processing of OLAP and analytical SQL workload in Netezza. Today, not all data types supported by DB2 are available for acceleration. One step to narrow this gap is to enable spatial data in form of polygons, linestrings, and points for OLAP processing. Since DB2 and Netezza have very...
متن کاملSpecial Track on Database Integration
Because of a huge variety of biological studies focused on different targets, i.e., from molecules to ecosystem, data produced and used in each field is also managed independently so that it is difficult to know the relationship among them. We aim to build a data hub with LOD to connect data in different biological fields to enhance search and use of data across the fields. We build a prototype...
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ژورنال
عنوان ژورنال: International Journal of Geographical Information Science
سال: 1998
ISSN: 1365-8816,1362-3087
DOI: 10.1080/136588198241824