Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach
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DOI: 10.1080/13658816.2016.1194424
Abstract: ABSTRACT The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have… read more here.
Keywords: visual analytics; visualization intensity; visualization; data driven ... See more keywords