Ponencias, comunicaciones y pósters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.Nowadays, in the age of big data, geodatabases become more critical with respect to geospatial data volume, variety and capacity. It is required that geodatabases must be capable enough to cope with high stakes of geospatial data service during production, manipulation and publication stages.
The concept of NoSQL database has been introduced as a potential alternative solution to existing SQL databases which is supposed to grow more rapidly in the near future. It has the prospective to combine the powerful capability of GIS data processing with an approach of non-relational Data Base Management System (DBMS). This type of data warehouse can potentially accommodate variety of information over the World Wide Web (www) space with different structures into one single geodatabase. MongoDB as one instance of NoSQL database introduces an open source document storage empowered by a replication using data partitioning approach across multiple machines.
For the work described in this paper it has been used for the integration of open access geo-information by extracting geospatial information from a near real time earthquake service i.e. Geofon. Geospatial information is extracted from the Geofon uniform resource locator (url) then transferred into documents in MongoDB. This demonstrates the geospatial data integration in order to improve earthquake information contents as well as to enable GIS analysis approach using Python scripting environment in ArcGIS 10 platform. It shows a reliable performance even for handling a relatively big geographical names data from GEOnet Names Service (GNS)
