AUSTIN, TX, UNITED STATES, January 15, 2026 /EINPresswire.com/ — Environmental compliance has long represented one of the most persistent governance challenges in ...

The University of Tennessee at Chattanooga’s Center for Applied Geospatial Data Science (CAGDS) has been selected as a finalist in the 2025 ArcGIS StoryMaps Competition, earning international ...

Technical.ly is a free news resource thanks to financial supporters like the Temple University Department of Geography, Environment and Urban Studies, a Technical.ly client, which sponsored this ...

What is py-rocket-geospatial-2? py-rocket-geospatial-2 is a Python–R geospatial Docker image for large-scale earth-science data analysis in JupyterHub environments. It is designed for users working ...

We’ve talked about data being a baseline for the decisions that utilities can make, and better data means better decisions. To get specific though, it’s geospatial data that enables the creation of ...

Applied Digital’s Q2 revenue tripled year on year, beating estimates as AI data center demand surged. The firm secured a $5 billion hyperscaler lease in North Dakota, strengthening long-term revenue ...

Rather than treating data science, AI, and decision-making as separate domains, this program integrates them to equip graduates to turn data into evidence-based, repeatable decisions that ...

"Today, the data explaining our physical world is locked behind complex geospatial tools that only specialists can use. Think where we build, where we can restore nature, where climate risks will hit ...

Add a description, image, and links to the geospatial-data-science topic page so that developers can more easily learn about it.

Michael O'Connell, Chief Analytics Officer at Spotfire explores how the company uses data science, geospatial analytics and AI to boost the energy sector As industries continue to experience ...

My two main research interests are geospatial data science and data management. My current research focuses on using geospatial analytics and integrating spatiotemporal data including stream sensors ...