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 ...

Topological relations form a foundational pillar in the analysis and interpretation of spatial data. They characterise the connectivity, adjacency, and containment properties amongst spatial objects, ...

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 ...

An international group of thinkers, makers, and educators interested in spatial phenomena, complex systems, and ...

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 ...

As the world accelerates into the digital era, decision-makers are flooded with data, yet many still find themselves starved for actionable intelligence. This is where I see agentic AI, a new class of ...

Most agencies fall into a middle ground: 57% use geospatial tools to a moderate extent, but only 17% report extensive use.

The intriguing paradox about the information age is that it relies on semiconductor chips, which are fundamentally made from sand (silicon dioxide) — the most tangible and seemingly infinite resource ...

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Researchers at the Icahn School of Medicine at Mount Sinai in New York, Boston Medical Center, and Boston University ...