Abstract:TosolvetheedgeconfusionprobleminthegraphvisualizationandshowGIS-relateddatainformation

theheatmapwasintroducedtorepresentthepathdatainformation

usingthemappingbetweenheatintensityandcolortopresentthefrequentmigrationofthepath

whichwasbasedonthegeographictrafficinformation-basededgebundlingalgorithm.Todealwithspeedmattersintheheatmapvisualization

thequadtreestructurewasemployedtodividetheregionandthenarticulatehotspotswithregionsaccordingtothedomainofinfluencetospeeduptheheatintensitycalculation.Theexperimentalresultsshowedthatthegeographictrafficinformation-basededgebundlingalgorithmwiththeintroductionofheatmaprealizestheintuitiverepresentationofheatintensityonthebasisofreducingthegraphconfusiondegreeeffectively.Theintroductionofquadtreestructuresignificantlyreducestheoperationtime

and themaximumspeedupisabout7.6

achievingagoodoperationeffect.