A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Technology innovations, new roles and expanding missions are shaping the move toward big data in the National Geospatial-Intelligence Agency. A mix of tradecraft and technology is ensuing as the ...

Traditional models deliberately simplify millions of consumers into a single, homogeneous, representative agent with perfect market knowledge and rational expectations, limiting their capacity to ...

Don Murray is cofounder of Safe Software and has spent his career helping organizations bring life to data to make better decisions. The world we live in is spatial. Think about how many times you use ...

Urban environments are increasingly shaped by the integration of geospatial big data—massive datasets collected from satellites, sensor networks, mobile phones, social media and municipal sources.

Top: Devil’s Elbow Trestle Bridge near Fort Leonard Wood, Missouri. Bottom: A LiDAR scan of the same trestle bridge. (Sgt. 1st Class Andrew French and CW4 Michael Baber) The current state of ...

Geospatial modeling methods have become an important tool for environmental monitoring, which is used to manage environmental risks and monitor natural disaster threats. The modeling results are an ...

The choices for how to structure geospatial data governance roles and responsibilities can seem daunting. One thing for certain, however, is that leaving key roles unfilled or unrealized will ensure ...

Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

A key objective of data governance is to provide information to people with a legitimate need to know and to restrict it from those who do not. While the solution to effective data security is largely ...