1、!#$%&(!#$%&()*+,(-./)*+,(-./04567!Email:#$%&()*+,-./095:https:/ VIS Design Process0202/0123456/0123456Multi-dimensional Ranking and Projection0303789:%;789:%;Warehouse Selection in Logistics Scenarios0404789:%?A*789:%?A*Route Optimization in Logistics Scenarios!CONTENTCONTENT|#

2、$%&(#$%&()*+,-.*+,-./0/0User-Centric VIS Design Process01|#$Visualization|n!#$%&()*+,-./n012345%&6789:;?AnBCDEFGHIEJ5KLnAIM&NO%&PQRS7T/6UVEWX%&7!#YZ5_n!abcdeUP+fg#hijEklm4nopq%&onTableau$+rabs%&!#tu,v7+wxyzGH|5n%&!#52022/6/11490%&#$()PIPELINE OF VISUALIZATION IN THE 1990SEngineering PartArt Part2022

3、/6/115*&#$()PIPELINE OF VISUALIZATION IN THE 2000SHow to involve human in theanalysis loop?What are efficient userinteractions and interfaces?What knowledge can be attainedand conveyed from thevisualizations?2022/6/116+,-./0#$User-Centric Visualization2022/6/1172022/6/118Crisan,A.,Fiore-Gartland,B.a

4、nd Tory,M.,2020.Passing the Data Baton:A Retrospective Analysis on Data Science Work and Workers.IEEE Transactions on Visualization and Computer Graphics,27(2),pp.1860-1870.1234,-53467Understanding Users&Usage Scenarios2022/6/11989:;?ABCExplore Data,Task,and Design SpaceData SourcesTabular,corpora,n

5、otebookData CharacteristicsNumber,text,image,audio,videoTemporal,spatial,categorical,numericalStructured,unstructuredArchived,real-timeData FactsValue,distribution,difference,extremeLow-level Analytic TasksRetrieve ValueFilterCompute Derived ValueFind ExtremeSortDetermine RangeCharacterize Distribut

6、ionFind AnomaliesClusterCorrelateChen,Y.,Yang,J.and Ribarsky,W.,2009,April.Toward effective insight management in visual analytics systems.In 2009 IEEE Pacific Visualization Symposium(pp.49-56).IEEE.Amar,R.,Eagan,J.and Stasko,J.,2005,October.Low-levelcomponents of analytic activity in information vi

7、sualization.In IEEE Symposium on Information Visualization,2005.INFOVIS 2005.(pp.111-117).IEEE.2022/6/111089:;?ABCExplore Data,Task,and Design SpaceChart TypeBar chart,line chart,pie chartInfographics,scientific renderingStyleDashboard,slideshow,comicMediumImage,video,sound,objectEncodingProperties:

8、color,shape,sizeDimension:2D,3D,LayoutArrangement and navigationInteractionOperation:zoom,pan,rotateControl:mouse+keyboard,gesture,touch,voice,SpaceDigital vs.physical:paper,screen,XR Location:hand,table,wall,roomScale:inch,foot,yard Vis designers must take into account three very different kinds of

9、 resource limitations:Computers:processing time,system memory,Humans:attention,memory,retention,Displays:pixels,information density,2022/6/1111DEABCNarrow Down Design SpaceF34,-GHAAssist Collaborative or User-in-the-loop Design45678Multi-dimensional Ranking and Projection02|Liu Q,Li Q,Zhu

10、 Z,et al.Inspecting the Process of Bank Credit Rating via Visual AnalyticsC/2021 IEEE Visualization Conference(VIS).IEEE,2021:136-140.HIJKLM-N7Peer Agency Rating-Background|BCD56EFGHIJKLDMNOPDMQRS2BCTU$V1W6XS2BCYCD56Z(U$_34abcdeQfgdNhiQ_3456jklmnopqFrQstiuvwxtyzx|xN8Q$56S25634QfxrND56o“”:pxUUN,Qf-=N

11、 YCD562022/6/1114HIJKLM-OPPeer Agency Rating-Problem|QVQV;?ABCDEFG-HIJKLMABNOPQKCDRSTUVKWXYZKN_6abAcCDdeKfgKAhWijklmpUNUjpUNUjnoK?ABpqrstu“z5Q“z5Qz5QKlnKzS5”5%?Kqn!#$%C$KN&?K6%BWpz0()*+K,-N./012K?34H12K?FK?ABCDkNq?KLKw5qK?FLK06F5Liu Q,Li Q,Zhu Z,et al.Inspecting the Process of Bank Credit Rating via

12、 Visual AnalyticsC/2021 IEEE Visualization Conference(VIS).IEEE,2021:136-140.2022/6/1116HIJKLM-2WXYPeer Agency Rating-Background|?6ABK78W|9:;?_A8YZ)RatingVisXBNC#fgDEWAK?WABCFGRanking SVMK=NHI*|“”fg9:;NJF9:KLk?qLiu Q,Li Q,Zhu Z,et al.Inspecting the Process of Bank Credit Rating via Visual AnalyticsC

13、/2021 IEEE Visualization Conference(VIS).IEEE,2021:136-140.2022/6/111718HIJKLM Z_Peer Agency Rating Ranking StrategiesRanking SVM Fr|Liu Q,Li Q,Zhu Z,et al.Inspecting the Process of Bank Credit Rating via Visual AnalyticsC/2021 IEEE Visualization Conference(VIS).IEEE,2021:136-140.19HIJKLM-RAPeer Age

14、ncy Rating System Design|(A)D765(!ht-SNE75T(B)d5+JzQ576+77+Q!#$5”5%&(C)%&7()Z*57+(E,H-abs./0%&520HIJKLM-RabPeer Agency Rating System Overview|21MAB-FPeer Agency Rating Case Study|1.NOPQR?FSTCFkU=kNfg%Fhe=kNGpfgij%kFqkN4qlR?K7FGpwPQR?N7mno24HIJKLM-YcdePeer Agency Rating Case Study|aQ=1Q=23456Q78Q9:=$

15、.%&=;%&J=%65pFST=kNNOPQR?KqTPQR?Nq_4qlR?rNst$up?vvw)abKnoN.MmnoAH4?xNaby$A4NwnzLwOmnoAu25HIJKLM-YcdePeer Agency Rating Case Study|aQ=1Q=23456Q78Q9:=$.%&=;%&J=%6526HIJKLM-RabPeer Agency Rating System Overview|!#$%&()*+,-./0./*+:;)?ABCDEFGH=23IJKL),-?MNOP,-4Q*+RSCD=TUV WXYZ=TZ_ab4Lcde+fghij

16、klmnopmnop!#$%&()*+,#$%&-./0123#$45-67689:;?AB6?AB qr*+2stuv4wxLykl z!|&(7SpCD6CD6HIJKLMPeer Agency Rating|Liu Q,Li Q,Zhu Z,et al.Inspecting the Process of Bank Credit Rating via Visual AnalyticsC/2021 IEEE Visualization Conference(VIS).IEEE,2021:136-140.279:;?9:;?Warehouse Selection in Logistics Sc

17、enarios03|Li Q,Liu Q Q,Tang C F,et al.Warehouse Vis:A visual analytics approach to facilitating warehouse location selection for business districtsC/Computer Graphics Forum.2020,39(3):483-495.人群分布商业洞察地图交通!#$%&()*+,|Yv y$_ v“”Y+fyfghijkSmart Warehouse Site Selection|o okGHEFGGHEFG-./-./00 S SSS“-S(yy

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19、48?NJK?3 3iYK?4 4LK?PNLCLCI?KnopCqATravel-Time Estimation|HIJKLMFNO4PQ5RISUT5RUV5SUT%4UVW,.XY5%4ZEFTSimosJPQ=%TTOPSISEFPQ|rstuvjhwxyRecommending Candidate Warehouse_l.GC7EF.GC7a+b5EF!TG7CUcdEFl enEF!hf0EFPgh5R70ijghk$l enEF=Ek$lCml=0 0 7c cij ij$0EFjPi5ghk$7zd dij ijk!vc cij ij=d dij ij,|,-5k$le ekj

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22、cdeSmart Warehouse Site Selection9:;)ABC,9:;Ll|z%NnnRgRg6767!*%NM|K#vXBvNWRgK67$vlr4%N&KR()lv*W$K+b*,“-C.+/n|(67/$Route Optimization in Logistics Scenarios|$N7FlmScheduling Customized Shuttle Buses via Perceiving Passengers Travel Demands Background and Challenge/L cN012,34567K8?3e9*Ns:YL;?KNnc)QWKK

23、8AKBXWnmKCC*DEFG=8KHIXJtKKW+LWMvK)8Liu Q,Li Q,Tang C,et al.A visual analytics approach to scheduling customized shuttle buses via perceiving passengers travel demandsC/2020 IEEE Visualization Conference(VIS).IEEE,2020:76-80.|$QRSTFUVN8K&OPQRS2,KR 9LT=8UHI=8NJ=KKR_NOD=CulKN2,*ZC*_UNVUNJC*KW+_RzNKC*_d

24、XKNJ*K?_dcN_Liu Q,Li Q,Tang C,et al.A visual analytics approach to scheduling customized shuttle buses via perceiving passengers travel demandsC/2020 IEEE Visualization Conference(VIS).IEEE,2020:76-80.CK*_21:30abcdP 9C)8eK*JN.M4JKfF)8gUg34YKC*_Z?N?Kk*w21:30PN5?Nd/L9,Kk9*NLW,?1?K*Nw|?A*8.$Scheduling

25、Customized Shuttle Buses via Perceiving Passengers Travel Demands$RzScheduling Customized Shuttle Buses via Perceiving Passengers Travel Demands System OverviewL|Cu7CuL|Cu7CuK-meanslWK=CuKJ|F-nKkWSilhouette?K7KKXs3=CuKJNY3=CuJORKSilhouetteKNFd9/CuNsWCukKvwxyaA$GO|$Scheduling Customized Shuttle Buses

26、 via Perceiving Passengers Travel Demands|CuCuK”WvCK”WvC,)CuN”WvC,NS,X#)CuL=K“DwN”vwxyaLLKCuW”I)dLGKBNC#fg$YOKCuW”FiNKB*E3UCuK”KLKNSKC,UKCuNS n*NSKC,UdKIcgoKKC*WON*3zKC*NC,_WgoK_?K*3wN-3KX|$Scheduling Customized Shuttle Buses via Perceiving Passengers Travel Demands&C,WC,W*dDX“9KAcC,avg avg distdist

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