As spatial data becomes more plentiful and available, there are new challenges for accessing it in scholarship. From point clouds with millions of entries to complex elevation maps, it is becoming increasingly difficult to perform spatial analysis on laptops and personal computers. UCLA’s high performance computing cluster, Hoffman2, enables processing and analyzing complex geodata remotely,...
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