Python’s geospatial ecosystem, led by GeoPandas, makes mapping, analyzing, and visualizing location-based data intuitive and powerful. From environmental studies to urban planning, these tools reveal ...

A recent report by the International Water Management Institute (IWMI), authored by Niranga Alahacoon, Sahana V., and Giriraj ...

Stellenbosch student‑turned‑founder, Veer Gosai, built an edtech platform serving millions of school pupils with free past ...

An automated aerial imagery system easily handles data that is compromised by haze, fog or atmospheric conditions.

Python is transforming meteorology through packages like Xarray, MetPy, and CliMetLab, which simplify accessing, analyzing, and visualizing large weather datasets. These tools integrate with Jupyter ...

Environmental journalists are pairing satellite imagery and machine learning to expose illegal mining across the Amazon.

Rowan University GIS major Sean Olcese turns geospatial data into climate resilience research, mapping risk, equity and ...

The field of Geographic Information Systems (GIS) and Remote Sensing (RS) has seen significant advancements in recent years, particularly in the context of monitoring regional hydrology, ecology, and ...

Discover how Pokémon Go AI data is used today. We explain how Niantic Spatial's VPS uses player camera scans to power Coco ...

The idea that the Earth can be “searched” like a database has circulated for several years in academic and technical circles.

Engineers at the University of Houston have unlocked decades of hidden flood risk data, using artificial intelligence to ...

MathWorks announced Release 2026a (R2026a) of the MATLAB® and Simulink® product families today, introducing new AI capabilities for embedded systems development. R2026a introduces Simulink® Copilot to ...