Environmental sustainability refers to the conservation and management of natural resources to match the needs of present ...

Recent advancements in deep learning have revolutionised the processing and analysis of geospatial data, fuelling a new era of mapping and landscape analysis. By leveraging state‐of‐the‐art neural ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized spatial data collection in recent years by offering flexible, low-cost platforms for aerial imagery and remote sensing.

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.

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 ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...