Spatial modelling of species distribution encompasses a suite of quantitative methods for predicting where organisms occur and how their ranges respond to environmental variation. These approaches ...
AI spatial data visualization is redefining how researchers interpret molecular patterns in tissue, surfacing biological structure that conventional tools cannot reach. Each spatial transcriptomics ...
Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the growing effects of global warming. These disaster risks are heightened with ...
Information technology may be on the verge of a revolution, driven by spatial data, according to David Randle, worldwide head of go-to-market for spatial computing at Amazon Web Services. And ...
SHARE3DCAM has announced the C10 Series, a new line of SLAM-based mobile LiDAR scanners for geospatial and reality-capture work. The series includes the C10-16, C10-32, and C10-32 PRO, offering 16- or ...
Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...
Jeongwon is a Ph.D. student in the Department of Geography at the University at Buffalo. She has a background in GIS engineering, specializing in working with spatial big data and spatial data ...
The Whole Transcriptome Panel for Bruker’s CosMx Spatial Molecular Imager (SMI) represents a breakthrough in spatial biology. With the ability to detect and quantify over 18,000 RNA transcripts at ...
Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...
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