The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Scientists reveal that the scale of analysis determines whether invasive plants succeed by resembling or differing from ...
Three-dimensional modeling sits at the heart of modern design, engineering, and fabrication. Yet for blind and low-vision ...
Uncover the importance of India's hidden infrastructure projects in 2025, merging engineering and architecture for functional ...
Researchers at McMaster University have developed a new database that brings together more than 100 years of historical ...
A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...
A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of ...
Abstract: Traditional point clouds models based on multilayer perceptrons (MLPs) lack inherent support for spatial data structures and fail to effectively process spatial relationships. To address ...
Supervised learning allows broad-scale mapping of variables measured at discrete points in space and time, e.g., by combining satellite and in situ data. However, it can fail to make accurate ...
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