This eight-week, self-directed online course will introduce students to important concepts in geographic data science and guided practical exercises in use of R and Google Earth Engine to process, ...

Researchers have proposed a weighted participation index and an incremental depth-first mining algorithm that correctly ...

This Collection supports and amplifies research related to SDG 13 - Climate Action. This Scientific Reports Collection welcomes original research on Geospatial data science and analysis. Narrative ...

To enhance the utility of existing population and clinical studies by making place-based measures of traditional environmental stressors, neighborhood contextual variables, and social constructs ...

Students, young professionals, and industry leaders invited to explore emerging GIS trends and network with innovators at 2026 Los Angeles Geospatial Summit. It’s a pleasure to host this conference ...

The Geographical and Geospatial Sciences Committee (GGSC) provides a forum for innovative scientific, technical, and policy discussions on geographical theory and knowledge, geospatial data, mapping ...

An emerging issue in the field of geospatial data science is the imbalance between the abundance of freely available big datasets and the limited number of professionals trained to leverage them, ...

A. Stewart Fotheringham, Krafft Professor of Spatial Data Science in the Department of Geography, is the founding director of FSU's Spatial Data Science Center. Florida State University has launched ...

An AI model has been developed that integrates spatial transcriptomics data to analyze cell interactions and gene activity.