Visualization of Big Spatial Data using Coresets for Kernel Density Estimates
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The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet it can introduce unwanted errors. We describe a method for subsampling of spatial... ...