This press release announces a new geospatial initiative aimed at improving how organizations integrate diverse spatial datasets and apply advanced mapping solutions. The effort responds to rising ...

Geospatial Information Systems (GIS) have transformed the way we capture, store, and analyse spatial data by integrating methods from computer science, statistics and geography. Central to GIS is the ...

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

The initiatives described aim to strengthen the role of geospatial technologies within broader organizational strategies. Rather than operating as isolated systems, spatial tools are being designed to ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

As regular readers of this newsletter know, my primary focus over the past year has been to champion the importance of geodesy and to prepare the geospatial ...

Imagine the scene: You’re driving in an unfamiliar city and use Google Maps on your iPhone to get directions to your next meeting. But you don’t just want to know how to get from point A to point B.

Environmental Systems Research Institute is the incumbent contractor for the geospatial information system software and ...

Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Spatial Business Systems ("SBS"), a leading provider of intelligent design software to utilities and critical network infrastructure assets, has completed the acquisition of GeoSpatial Innovations Inc ...

Geospatial engineering combines principles of engineering, geography, and surveying to collect, analyze, and manage spatial data. Geospatial engineering involves surveying. Over time, the field of ...

Modern vision-language models allow documents to be transformed into structured, computable representations rather than lossy text blobs.