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 ...

Service robots are moving quickly into healthcare, security, and public environments. Yet their increasing reliance on visual and spatial perception technologies has introduced a major hurdle: ...

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...

LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.

A set of mysterious grooves on a cave floor in France has turned out to be far more than abstract art. Archaeologists now argue that the engravings form the world’s oldest known three-dimensional map, ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new ...

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding. Large Scale: 10,000 unique indoor scenes, comprising ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.