GeoBrick: exploration of spatiotemporal data
Year: 2017
Type: article
Source: The Visual Computer
Authors: Ji Hwan Park, Saad Nadeem, Arie Kaufman
Institution: Stony Brook University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
Awards: CSR: Medium: Collaborative Research: Workload-Aware Storage Architectures for Optimal Performance and Energy Efficiency, I/UCRC CGI: Center for Dynamic Data Analytics (CDDA), I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook, III: Small: Collaborative Research: ANTE - A Four-Tier Framework to Boost Visual Literacy for High Dimensional Data, NRT-DESE: Interdisciplinary Graduate Training to Understand and Inform Decision Processes Using Advanced Spatial Data Analysis and Visualization
OpenAlex ID: W2772496691