Seasonal Hydrological Loading from GPS Observed Data Across Contiguous United States Using Integrated Apache Hadoop Framework
The study examined the relationship between seasonal vertical loading deformation and seasonal hydrological loading from precipitation specified as rain and snow. The vertical loading deformation is characterized by time-series estimated from continuous Global Positioning System (GPS) network across the contiguous United States for a timeframe of 48 months (January 1st, 2013 to December 31st, 2016). The data processing used custom-built R scripts and spatial libraries that were integrated with Hive framework which is a data warehouse extension of Apache Hadoop that is used as a database query interface. The relationships of vertical displacement were explored by visualization techniques such as spatial maps and wavelet coherence plots.
KeywordsVertical loading deformation GPS Hadoop Wavelet Crustal deformation
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