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1、第４４卷第１期测绘学报Vol．４４,No．１２０１５年１月ActaGeodaeticaetCartographicaSinicaJanuary,２０１５引文格式:YUWenhao,AITinghua．TheVisualizationandAnalysisofPOIFeaturesunderNetworkSpaceSupportedbyKernelDensityEstimation[J]．ActaGeodaeticaetCartographicaSinica,２０１５,４４(１):８２Ｇ９０．(禹文豪,艾廷华．核密度估计法支持下的网络空间POI点可视化与分析[J]．测绘学报,２０１５,４４
2、(１):８２Ｇ９０．)DOI:１０．１１９４７/j．AGCS．２０１５．２０１３０５３８核密度估计法支持下的网络空间POI点可视化与分析禹文豪,艾廷华武汉大学资源与环境科学学院,湖北武汉４３００７９TheVisualizationandAnalysisofPOIFeaturesunderNetworkSpaceSupportedbyKernelDensityEstimationYUWenhao,AITinghuaSchoolofResourcesandEnvironmentalScience,WuhanUniversity,Wuhan４３００７９,ChinaAbstract:Thedis
3、tributionpatternandthedistributiondensityofurbanfacilityPOIsareofgreatsignifiＧcanceinthefieldsofinfrastructureplanningandurbanspatialanalysis．Thekerneldensityestimation,whichhasbeenusuallyutilizedforexpressingthesespatialcharacteristics,issuperiortootherdensityestimationmethods(suchasQuadratanaly
4、sis,VoronoiＧbasedmethod),forthattheKerneldensityestimaＧtionconsiderstheregionalimpactbasedonthefirstlawofgeography．However,thetraditionalkerneldensityestimationismainlybasedontheEuclideanspace,ignoringthefactthattheservicefunctionandinterrelationofurbanfeasibilitiesiscarriedoutonthenetworkpathdis
5、tance,neitherthanconventionalEuclideandistance．Hence,thisresearchproposedacomputationalmodelofnetworkkerneldensityestimation,andtheextensiontypeofmodelinthecaseofaddingconstraints．Thisworkalsodiscussedtheimpactsofdistanceattenuationthresholdandheightextremetotherepresentationofkerneldensity．Thela
6、rgeＧscaleactualdataexperimentforanalyzingthedifferentPOIs’distributionpatterns(randomtype,sparsetype,regionalＧintensivetype,linearＧintensivetype)discussesthePOIinfrastructureinthecityonthespatialdistributionofcharacteristics,influencefactors,andservicefunctions．Keywords:networkkerneldensity;POIan
7、alysis;networkanalysis;spatialstatisticsFoundationsupport:TheNationalHighＧtechResearchandDevelopmentProgramofChina(８６３Program)(No．２０１２AA１２A４０４);TheNationalKeyTechnologyResearchandDevelopmentProgramoftheMinistryofScienc
