Visualizing urban futures [Elektronische Ressource] : a framework for visualizing multidimensional geospatial data / von Ariane Middel

Description

KaDipl.-Ing.MiddelArianeGuhathakurtaMiddelBernsVISUALIZINGHagenURBAN11.FUTURESDr.AoFBerichterstatter:ramewProf.oAussprkDipl.-Ing.foan:raVisualizingommissionMultidimensionalProf.GeospatialBernsDataDr.DISSERTeiterASubhTIONderVeomrilFArianeachbDekereichProf.InfoKrmatikrstenderPr?fungskTVechnischenrsitz:Universit?tDr.KaiserslauternrstenzurErsterErlangungProf.desHansakZwademischenBerichterstatter:GradesDr.DoktorajitrDatumderwissenschaftlichenIngenieurwissenschaftenrach(Dr.-Ing.):genehmigteApDissertation2008vonMiddel.crighreserv2008Allbtsyed.ArianeiAbstractgeometriesInyurbantplanning,tialsophisticatedGosimmulationandmoestimateddelstareasktheeyThetodecisionolsthetospace.esti-tmateUrbfutureresultspject-relationalopulationtgroedwthTheforthroughmeasuringogle'sthebimpactconofcarbplanningvisualdecusage,iparamete-usessionstoondierenurbantsdevorderelopmenes.tsbuilandmanagedtheromenypvironmenaret.geometriesSimaerialulatedTMpbopulationbprouserjectionsinusuallyready-to-visualresultenhanceinabstractlarge,inmacro-scale,usmplanningultivfoariateandgeospatialsimdataofsets.yMillionssignicanofinrecordsmohaulvlogisticeetoesbscales.ecoproappliedcessed,outputstored,predictandtvisualizedsimtothehelpiplannersesexploreananddatabase.anadatabase,lyzebuildingcomplexandpvopulationencopatterns.georeferencedWdisplaetopinintrogleducesynadatabasedatabaseaccesseddrivparametersencframewworkterface.

Informations

• Publié par: technische_universitat_kaiserslautern
• Publié le: 01 janvier 2008
• Nombre de lectures: 9
• Poids de l'ouvrage: 29 Mo

Extrait

Dipl.-Ing.ArianeMiddelMiddelKaGuhathakurtaVISUALIZINGBernsURBANHagenFUTURES11.ADr.ForamewBerichterstatter:oProf.rkAusspfoDipl.-Ing.ran:VisualizingaMultidimensionalommissionGeospatialProf.DataBernsDISSERTDr.AeiterTIONSubhVderomeFrilachbArianeereichDekInfoProf.rmatikKderrstenTPr?fungskechnischenVUniversit?trsitz:KaiserslauternDr.zurrstenErlangungErsterdesProf.akHansademischenZwGradesBerichterstatter:DoktoDr.rrajitderDatumIngenieurwissenschaftenwissenschaftlichen(Dr.-Ing.)rachgenehmigte:DissertationApvon2008
c2008Middel.righreservbAllytsArianeed.AbstractInurbangeometriesiyplanning,tsophisticatedtialsimGoulationmmoanddelsestimatedaretkaseythetoTheolsdecisiontotheesti-space.matetfutureUrbpresultsopulationject-relationalgrotwthedforThemeasuringthroughtheogle'simpactbofconplanningcarbdecvisualiusage,-parametesionsusesontourbandierendevtselopmenordertses.andbuilthemanagedenromvironmenypt.areSimgeometriesulatedaerialpTMopulationbprobjectionsuserusuallyinresultready-to-visualinenhancelarge,abstractmacro-scale,inmusultivplanningariatefogeospatialanddatasimsets.ofMillionsyofsignicanrecordsinhamovulelogistictoebesescales.prococessed,appliedstored,outputandpredictvisualizedttosimhelptheplannersiexploreesandananadatabase.lyzedatabase,complexbuildingpandopulationvpatterns.encoWgeoreferencededisplaintoptroinducegleasyndatabasedatabasedrivaccessedenparametersframewcorkwforterface.visualizingencogeospatial,mlanguage,ul-datatidimensionalissimumanulationdispladatatationsbaseddataonre-theandoutputsuppfromakingUrbcesses.anSimon,otprinacalculations,soft-forwizingareultaneouslyforresultsthelandanalysisdensitand,planningotherofturbanrsdev3DelopmenOurts.delThemdesignedtframewnomialorkregressionisderivextendablebuildingandypaimsatattinThetegratingregressioneecienmareptoianSimrical-stoinctohasticresidenmeth-buildingoypdsTheandulationurbanandsimestimatedulationdmongdelsypwitharetecinhniquesobdevgeoelopFedthefordensitinforma-,tiontvisualizatioes,nsignicananddemographiccartographariablesyvisually.dedFirst,scalable,w3DeanddevyeloponanofephotographsmapoiEarthricalvisualmothesis.delgeoforcantheeestimationandofvisualizationresidencantialebuild-hoseningateb-basedypinesThebaaresededdKMLonGodemographicmarkuphouseholdascizeharacteristics.sets.Thegoalpredictedtodwhellingcognitiontyypyingerepreseninformationofisultidimensionalimpsetsortanatalisticfortextthethanalysistoofortfuturemmate-inrialprouse,i AcknowledgdiscussionslableofementscAlthoughrmthisUnivdissertationtimeisthesis.aandpieceBonn)ofmindividualdoweterork,sincerestIIcouldasnevalwerikhahevIneno.nishedersititparticularlywithoutytheviahelptingandalsosuppt,ortwofKerstinnaluableumerousreadilypcommenepoIple.knoIFwungsgemeinscouldresearclikTeDatatothankstcolleaguesaandkyemthisomoppandortcoeunithankstwhoytandshort.thankgivallforthosetowhoeasinghavvmepartscmanonandtributedainvandiscussion.ywwysae,yFtoouldthetoctheomResearcpletdationiorsconDFoffundingthiswithindissertation.ResearcFirstGroupandandforemost,granISpwtoouldfriendsliktheeoftoArizonaexpressrsimIyfulsincerefellothankfulnesscandidatetoplenmenlighyductivPhDvadvisorstea,forFtheirtosuppFloortedandpguidanceeoasvwerethemlasttothreeenyreceptivears.mIandwyouldAblalliktoegratitudetoprothankmProfessorproDr.inHansdissertationHagenwofalwtheysUnivaersitaiyforofHisKaiser-tsslauternereforaproextremelyvidingerceptivtheappropriate,vision,helpful.encouragemenurthermore,t,wandladviceeneaccessarywledgeforGemeantohprogressoun-through(DeutsctheFPhDhprogramhaft,andGcompleteformthisyhdissertation.theIternationaldeeplyhapprrainingeciateVisualizationhisLargevUnstructuredaluableSets,suggestionstin1131.becialothgoscienallticyandandnon-atscienUnivticymatters.KaiserslauternAthedditionallyState,eItam.vamerythank-gratefultotoyhimwforctoralgivingTmeforthetoppofortunitteningyprotoewoorkerine,anorinICQ.terdisciplinaryurtherandgoinPternationalandresearcyshhelpgroup.implemenIthewrotooulypdwhenalsowlikrunningeItoouldthanklikmtoyeco-advisoryofthankstheIngaArizonaherStatecouragemenUni-hervenessersitallyy,oncerns,ProfessorforDr.mSubhraorganizationaljitorkload.Guhathakurta.oHeemade,imwishpexpressortanyttocon-fortributionsof-readingtooftheyearlyShestagesvidedofymvyiiisuggestionsandincisivywnsRutheforcommenlivtsatovhelpouldmelife.improencouragingvtheseesomorkingywpresenoftationeandcouldclarifyholdingmtoycriticismargumenets.toIawkouldenduringlikeforee,toparenexpressort,mtyossible.spyecialdissertationthanksbtodeeplytheinDigitalerseas.PhoandenixthoughresearcashortgroupoinecialthesenseHerbJuliaergerarmingCenwtereforyDesignoatthetheandArizonaandStateortanUnivtoeretersie,ttheyWithout.disseItehasears,bwitnessedeenandampleasurenowfororkingfriendwithurthermore,mMarkusyhecolleagueswhilefromoPhoalsoenixhankinforaordscongenialuandwsuppKai,ortivtheehawtorkerenears.vironmengot.forIhamddeeplyprogratefuloftoctorDianneks.foralsointovoppestingthanktimeBj?rnandyenergyanddiscussingtsideaseekswithyme.hisFsuppurthermore,t.Imostw,ouldliklimkKlaus-eMoniktolothanktKartikpatienceforysharingyhisongoingGIScondence,knoonwledge.haIeenamyespElkeciallyhasthankfulmantoupsRobdoertofwhoyproandvidedoneusefulaskinputaandettercommenintsFforItheappreciatevisualforizationtcforthapter.BonnManIyedofvtheIideaswishintmLuiseyLiodissertationtheiroriginatedwfromandfruitfultfdiscussionslwithashim.ellISaskia,gladlyandexpressformsuppytheygratitudevtolenmmeyvinallvyaluableSpnetthankswoutorkNicoleofhersuppofortivumore,ngeneroustoandforlovidingvingpairfriendswfromdoacrossshthecAItlanouldticliwhoesharedtakthethebortunitesttoandmwfriendorstformomenmantsmoofdsmwynighdissertationinjourneywinbspitemofdefensegeographicalforseparation.inMostaluablenortoencouragementablyFinally,andIimpthanktlyElkIeouldforenthankumerousycallsts,atPthreeandina,thetheirmorningvandconstanforsuppkandeepingduringsomelongpiearsnkmameducation.biancetheiraroundencouragemenallandthethistime.rtatiOvwernotthevlbastpthreeivContentsListofFigures29.Movii.ListApplicationof.T.ablesEmpiricalix441..Intro.duction.1.1.1.cRelated.W.ork......rk...t.o.Estimation...W.............42.....19.....F.onents.anSim..3241.2.andResearcDatah.Ob.jectivTegistic...Mapping.......Estimation...36.......T.38.......Base..........8Discussion1.3..Selected.Approac.h..3..w.and.3.1..with.........Data.PostGr...25.with.Earth.....26.Residential.p.Multinomial.(MNL)9.1.4..Thesis30StructureRe...........4.3..Group.........Clustering...........37.and.....Results....11.2..Pro.cedural.CitGridyEstimationMo.deling.-.A.Survey.13.2.1..Grammar-based.Mo.dels..2.6..of.Areas...............21.Key.rame.o.Applications.Comp.23.Data.deling13Urb2.2..Agen.t-based.Mo.dels........3.2..Managemen.with.eSQL.PostGIS.....3.3..Visualization.Go.gle.TM...........4.16of2.3.BuildingStatisticalyMoesde4.1.lLosRegression.............4.2..the.al.orld...................32.Blo.k.Based17.2.4..Real-time.Pro.cedural.Mo.deling....4.3.1..........................4.3.2.18Analysis2.5.StatisticalClassicationestsand.Comparison.of.Pro4.3.3.c.edural.Mo.deling.T.ec.h-.niques............4.4..Cell.d...................vContents4.4.1.96Visual.Estimation.usingKMLSyn.thesized.Data.from.UrbGenerateanSimTM44.4.4.1.1..Empirical58Analysis.andScalesStatistical.T.ests..5.2.7.455.2.8.4.4.1.2.5.3.Results..a...............e.61.....Keyhole...PHP...T...Go47.4.4.2..Estimation.Using.Census7DataBibliography.Data...........GUI..........48.4.4.2.1.5.2.3.EmpiricalMeasureAnalysistandariablesStatisticalScalableT.ests...48.4.4.2.2.5.2.5.ResultsL.....5.2.6..MySQL.....ordinate.......Results.gle.....of........50.4.5.6.FinalA.PredictionEstimateswithCurriculumRegression5.2.1.CoRevisitedecien.ts.................525.2.2.4.6..Discussion.of.Results....................59.Data.of.m.n.and.V...5.2.4..Geometries....53.5..Visualization.F.ramew.o.rk6355The5.1.MarkupGeoanguagevisualization........64.Using.and.to.KML.....66.Co.System.ransformations.........67.Visualization.in.o.Earth..56.5.2..Protot70ypicalDiscussionImplemenResultstation....................74.Conclusions.7.P.rameter.81.85.Vitae57vi