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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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US_ODFlow_March
Mapping Human Mobility OD Flow Changes in the US during the COVID19 pandemic

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for monitoring and measuring ...

COVID-19 Incidence and Mortality maps

For my GSF project, I will be conducting a county-level assessment of COVID-19 in relation to age demographics and comorbidities  I am currently in ...