A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce

Climate observations and model simulations are producing vast amounts of array-based spatiotemporal data. Efficient processing of these data is essential for assessing global challenges such as climate change, natural disasters, and diseases. This is challenging not only because of the large data vo...

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Veröffentlicht in:International journal of geographical information science : IJGIS 2017-01, Vol.31 (1), p.17-35
Hauptverfasser: Li, Zhenlong, Hu, Fei, Schnase, John L., Duffy, Daniel Q., Lee, Tsengdar, Bowen, Michael K., Yang, Chaowei
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Sprache:eng
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