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SPASTC: a Spatial Partitioning Algorithm for Scalable Travel-time Computation

We present a Spatial Partitioning Algorithm for Scalable Travel-time Computation (SPASTC) Calculating travel-time catchments over large spatial extents is computationally intensive, with previous work limiting their spatial extent to minimize computational burden or overcoming the computational burden with advanced cyberinfrastructure SPASTC is designed for domain decomposition of travel-time catchment calculations with a user-provided memory limit on computation SPASTC realizes this through spatial partitioning that preserves spatial ...

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The Most Recent Trend in Geospatial AI: The Good and the Bad

Geospatial AI (Artificial Intelligence) is an emerging field that combines geospatial technology with AI to provide unique insights and solutions to ...

Applications of Machine Learning in Geospatial Studies

Machine learning is a subset of artificial intelligence that focuses on algorithms that can learn and improve from data without being explicitly ...

Fine-scale Urban Heat Dynamic

Who is complaining about extreme hot weather How to monitor and avoid extreme heat in a real-time What is the spatial distribution of urban heat ...

Jupyter Notebooks Addressing Social Inequality and Health Disparities
Jupyter Notebooks Addressing Social Inequality and Health Disparities

Matthew De Venecia and Ruby Mendenhall   The STEM Illinois Nobel Project is deeply rooted in the historic mission of land-grant ...