Multiple-point geostatistics (MPS) has emerged as an indispensable tool for modelling complex spatial structures that extend beyond conventional two-point statistics. By utilising training images and ...

Spatial point processes constitute a fundamental statistical framework for modelling the spatial distribution of events across a continuum. This field bridges theoretical developments in probability ...

What are the key pain points that produce slow time to value with today's geospatial data technology implementations? Foursquare SVP of engineering Ankit Patel explained how to utilize geospatial data ...

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.

In the race to deliver faster, smarter, and more resilient networks, CSP and telco leaders are finding a powerful ally in ...

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

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 ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Physical retail stores have been struggling, and the data shows that the trend is set to continue, with forecasts of over 45,000 stores expected to close their doors from 2024 to 2029. This isn't ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...