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xsd home spatial data projects services ffar soiltwin aperture monocle innovations contact center for exascale spatial data analytics and computing what we do the center focuses on issues relating to extreme scale spatial data spatial data accounts for the vast majority of data currently being generated spatial data encode location information e g latitude longitude along with the data and observations of interest the center s activities have been funded through grants from the nsf nifa and dhs the overarching goal of the center is to facilitate cutting edge artificial intelligence machine learning and deep learning methods at scale over high dimensional spatial datasets our methodological innovations are data format agnostic and our reference implementations can cope with data stored in over 20 different formats that include inter alia csv netcdf hdf xml grib bufr dmsp nexrad sigmet these systems have been deployed in urban sustainability epidemiology ecological monitoring methane gas leak detections and atmospheric sciences key features reconcile spatial observations encoded as multivariate vectors shape files data sketches and hyperspectral imagery the ability to manage trillions of small files with quadrillion observations support for building deep learning models at scale deep networks that we work with include foundational models capsule networks and lstm gru based recurrent deep networks interactive visualizations over spatiotemporal datasets support for over 20 scientific data formats including netcdf hdf xml csv grib bufr dmsp nexrad and sigmet approximate queries fuzzy queries and probabilistic queries hypothesis testing significance evaluations and kernel density estimations the center performs foundational algorithmic work in spatiotemporal imputations sketching outlier detection and trajectories colorado state university