Geospatial data — information that links people, objects or behaviors with the “when and where” they occupy — is critical to managing resources and solving problems that range from finding ...

Geospatial data integration and matching techniques are pivotal in reconciling spatial information from diverse sources, enabling comprehensive representation and analysis of the physical world.

Computing power and the cloud are having a great impact on GIS. Users can leverage massive cloud computing resources and access information. They can share data openly, combine it with lightweight ...

Organizations that are looking to leverage location data in their operational apps have another option in Aerospike, which today announced support for geospatial data in its NoSQL database. Aerospike ...

The high costs, inflexibility and inability to share geospatial data between systems continues to be a major roadblock because geospatial analysts are forced to use inefficient, time-consuming and ...

Geospatial data has the potential to revolutionize investment decision-making by providing investors with insights into the spatial dynamics of different markets and assets.

For example, commodity traders used geospatial data to understand the number of oil tankers under sail in the ocean at any point in time, which describes the short-term supply of that crucial ...

The real-time AI Vector Search capabilities in Oracle Autonomous Database have enabled Outline to transform its workflows and handle large-scale geospatial data more effectively.