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• W2755772211 abstract "This vision paper reviews the current state-ofart and lays out emerging research challenges in parallel processing of spatial-temporal large datasets relevant to a variety of scientific communities. The spatio-temporal data, whether captured through remote sensors (global earth observations), ground and ocean sensors (e.g., soil moisture sensors, buoys), social media and hand-held, traffic-related sensors and cameras, medical imaging (e.g., MRI), or large scale simulations (e.g., climate) have always been “big.” A common thread among all these big collections of datasets is that they are spatial and temporal. Processing and analyzing these datasets requires high-performance computing (HPC) infrastructures. Various agencies, scientific communities and increasingly the society at large rely on spatial data management, analysis, and spatial data mining to gain insights and produce actionable plans. Therefore, an ecosystem of integrated and reliable software infrastructure is required for spatialtemporal big data management and analysis that will serve as crucial tools for solving a wide set of research problems from different scientific and engineering areas and to empower users with next-generation tools. This vision requires a multidisciplinary effort to significantly advance domain research and have a broad impact on the society. The areas of research discussed in this paper include (i) spatial data mining, (ii) data analytics over remote sensing data, (iii) processing medical images, (iv) spatial econometrics analyses, (v) Map-Reducebased systems for spatial computation and visualization, (vi) CyberGIS systems, and (vii) foundational parallel algorithms and data structures for polygonal datasets, and why HPC infrastructures, including harnessing graphics accelerators, are needed for time-critical applications." @default.
• W2755772211 created "2017-09-25" @default.
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• W2755772211 date "2017-06-01" @default.
• W2755772211 modified "2023-10-18" @default.
• W2755772211 title "Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap" @default.
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• W2755772211 cites W1538244879 @default.
• W2755772211 cites W1557055819 @default.
• W2755772211 cites W1568832590 @default.
• W2755772211 cites W1581055071 @default.
• W2755772211 cites W1604941534 @default.
• W2755772211 cites W1608734853 @default.
• W2755772211 cites W1667703182 @default.
• W2755772211 cites W1850843018 @default.
• W2755772211 cites W1952692938 @default.
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• W2755772211 cites W1971853188 @default.
• W2755772211 cites W1981350032 @default.
• W2755772211 cites W1991162211 @default.
• W2755772211 cites W1993159978 @default.
• W2755772211 cites W1995552494 @default.
• W2755772211 cites W2000557274 @default.
• W2755772211 cites W2003987120 @default.
• W2755772211 cites W2008286666 @default.
• W2755772211 cites W2014722699 @default.
• W2755772211 cites W2015987697 @default.
• W2755772211 cites W2035955308 @default.
• W2755772211 cites W2040407951 @default.
• W2755772211 cites W2046713668 @default.
• W2755772211 cites W2051454610 @default.
• W2755772211 cites W2051923817 @default.
• W2755772211 cites W2055873999 @default.
• W2755772211 cites W2057117782 @default.
• W2755772211 cites W2058529928 @default.
• W2755772211 cites W2061362237 @default.
• W2755772211 cites W2065820792 @default.
• W2755772211 cites W2070512596 @default.
• W2755772211 cites W2083009739 @default.
• W2755772211 cites W2088897443 @default.
• W2755772211 cites W2098994245 @default.
• W2755772211 cites W2100325481 @default.
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• W2755772211 doi "https://doi.org/10.1109/bigdatacongress.2017.39" @default.
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