Over the past 50 years, geographers have embraced each new technological shift in geographic information systems (GIS)—the ...

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 ...

Industrial automation is facing a paradigm shift: machines, robots and mobile systems are learning to “understand” space.

Discrete Global Grid Systems (DGGS) have emerged as a robust framework for organising and analysing geospatial data across the entire Earth. By partitioning the globe into a hierarchy of optimally ...

The primary challenge that developers generally face when trying to work with this data is that the tooling out there is not ...

Visual inspections of the power grid have traditionally relied on manual methods and reactive responses. These inspections, whether performed on foot, by helicopter or drone, often involve fragmented ...

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 ...

What do environmental management, urban planning, public health and civil engineering all have in common? They use geospatial information science and technology to make important decisions. Geospatial ...

Bio-Techne Corporation (NASDAQ: TECH), a global provider of life science tools, reagents, and diagnostic products, and Nucleai, a leader in AI-powered multimodal spatial biology for precision medicine ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first ...