There are several forces at play, many of which fall within cultural psychology and sociology. One explanation is that ...

Shallow seas serve as critical transition zones connecting land and the deep ocean, supplying essential resources for ...

A multi-institutional team of researchers led by Université de Montréal report that extensive musical training can steady the body in space, both with and without guiding sounds, during a blindfolded ...

This repository contains the code and data for the examples presented in Nowosad (2024) Comparing spatial patterns in raster data using R, Int. Arch. Photogramm ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, and its ...

Urban areas account for over 70% of global CO 2 emissions. Recent studies show that urban morphology’s impact on carbon emissions is more complex than traditional linear models suggest, with critical ...

Abstract: Identifying abnormal evolution patterns of spatial communities using vehicle trajectories provides valuable insights into urban traffic irregularities. Existing methods have primarily ...

During the pandemic, fraud skyrocketed as government agencies attempted to get critical funds quickly out the door to people in need. Domestic and international crime rings took advantage of outdated ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. The dissemination of transferable plasmids, a ...

Housed at the Geography Department’s research ecosystem is the Geospatial Human-Centered Artificial Intelligence (GeoHAI) Lab, where innovation in spatial data science meets urgent societal needs.

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...