: [10] 1 ; (Multi- temporal) (Multi-thematic) (Multi-hierarchical) (Multi-granular) 1 ( ) 1 ( ) Fig.1 Location-basedPan-Information

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1 GeomaticsandInformationScienceofWuhanUniversity Vol.40No.3 March2015 DOI: /j.whugis : (2015) : (multi- temporal) (multi-thematic) (multi-hierarchical) (multi-granular) ; 3 : ; ; ; ; ; :P208 :A [1] [4] [5] [4] 80% 90% talbd) [6] 80% [7] [8] ( ) ( ) ( ) [2] (LocationBigDa- [9] 90% [3] : : (2012BAH35B03); ( ); ( ); : geozxy@263.net : guowei98032@gmail.com

2 : [10] 1 ; (Multi- temporal) (Multi-thematic) (Multi-hierarchical) (Multi-granular) 1 ( ) 1 ( ) Fig.1 Location-basedPan-Information Map(PLIM) (Location) ; ; ; IP URL 1.2 1) / ; / ; ( ; )

3 40 3 : 287 ( 5 ) 2) ; [11] 2) IP 3) ; 4) 5) 1.3 1) 3) ( + ) ( 1) 1 Tab.1 ComparisionBetweenLPIMandElectronicMap /

4 [11] Fig.2 KeyTechnologiesofLPIM 2) ; 1) Web- ; Service API [912] 5% ( CCD ; ) [13] Bayes [14] Dempster-Shafer [15-18] Kalman [19] [20-21] [22] : POI ( ) (VGI) ( ) 2.2

5 40 3 : 289 1) ( ) ( ) [23] [24] 100 m [25] [11] [11] Becker 3 [26] [27] ; ( 3) 3 Fig.3 SemanticLocation ModelforLPIM 2) (Location Awareness) [28] ( )) ( 500 m )

6 / 4 (GlobalPositioningSystemGPS) [29] ; ( 4(a)); TC-OFDM [30] Locata [31] ; Wi-Fi [32-33] [34-35] ZigBee [36-37] RFID [38] Bytelight [39] LED UWB [40] MIT Cricket [41] 3) [42] ( ) ( ) 3) 2.3 ( ) 3 ( 4(b)) 2) 1) ;

7 40 3 : 291 ; 4 Fig.4 LocationbasedInformationRecommendation 4) ; 6 ; 5 ; POI GPS ; ( ) 5 Fig.5 PanoramaImagesandPointCloudDataFusion 3 Fig.6 PeopleEventObjectandCaseData 6

8 ( 7(b)) 3min 5min 10min (a) ; ( 8) 7 Fig.7 CasesMappingandInterceptionDeploymentAnalysis 8 Fig.8 AssociationAnalysis

40 3 : 293 4 9 Fig.9 CaseHappeningHotspotAnalysis onthe Futureof GIS[OL].htp://www.esri. com/news/arcwatch/0211/future-of-gis.html2011 [3] LiQingquanLiDeren.BigDataGIS[J].

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11 40 3 : 295 andservicesacmnew YorkUSA2005 [34]HalbergJNilsson MSynnesK.Positioningwith bluetooth[c].telecommunicationsict2003ta- hitipapeetefrench2003 [35]AaltoLG thlin NKorhonenJetal.Bluetooth and WAP Push Based Location-aware Mobile Ad- vertisingsystem[c].proceedingsofthe2ndinter- nationalconferenceon Mobile SystemsApplica- tionsandservicesacmsweden2004 [36]Sugano MKawazoeTOhtaYetal.IndoorLo- calizationsystem UsingRSSIMeasurementofWire- lesssensornetworkbasedonzigbeestandard[j]. Target20067:54-69 [37]BlumenthalJGrossmannRGolatowskiFetal. WeightedCentroidLocalizationinZigbee-basedSen- sor Networks[C].InteligentSignalProcessing AlcaladeHenaresSpain2007 [38]NiL MLiuYLauY Cetal.LANDMARC:In- door Location Sensing Using Active RFID [J]. Wireles Networks200410(6): [39]ByteLightScalableIndoorLocation[OL].htp:// [40]SahinogluZGeziciSGuvencI.Ultra-wideband Positioning Systems[M].Cambridge:Cambridge UniversityPress2008 [41]MIT Cricket Club. Building a Community with Cricket[OL].htp://web.mit.edu/mitcc2008 [42]XieChao.ResearchontheKeyTechnologiesofA- daptivecartographicvisualization[d].zhengzhou: verlayin3durbanenvironments[j].visualization and Computer GraphicsIEEE Transactionson (6): PreliminaryStudyonConceptionandKeyTechnologiesof thelocation-basedpan-information Map ZHU Xinyan 12 ZHOU Chenghu 3 GUO Wei 1 HU Tao 1 LIU Hongqiang 1 GAO Wenxiu 4 1 StateKeyLaboratoryofInformationEngineeringinSurveyingMappingandRemote SensingWuhanUniversityWuhan430079China 2 KeyLaboratoryofAerospaceInformationSecurityandTrustedComputing MinistryofEducation WuhanUniversityWuhan430079China 3 InstituteofGeographicSciencesandNaturalResourcesResearchStateKeyLaboratoryof ResourcesandEnvironmentalInformationSystemBeijing100101China 4 SchoolofArchitecture & UrbanPlanningShenzhenUniversityShenzhen518060China Abstract:Thispaperanalysisthelimitationsandchalengesofthetraditionaldigitalmapinubiquitous informationand big dataera. Weextendtheoriginalconceptofa Pan-locationInformation Map (PLIM)thatintheubiquitousnetworkenvironment.PLIM dynamicalyassociates mutli-temporal tionandprovidesapersonalizedlocationandlocation-relatedinformationserviceplatform.alsowe describethestructureandcharacteristicsofanewplimanddemonstratethekeytechnologiesinthree aspectsincludingubiquitousinformationacquisitionsemanticlocationcorrelationandestablishment ofamulti-dimensionalvisualizationmap. InformationEngineeringUniversity2007(. [D]. : 2007) [43]Qu Huamin Wang HaominCui Weiweietal. Focus+ ContextRouteZoomingandInformationO- multi-thematicmulti-hierarchicalmulti-granularinformationaboutobjectsoreventsbasedonloca- Keywords:ubiquitousinformation;semanticlocation;locationcorrelation;multi-dimensionaldynam- icscenario;indoor-outdoorintegration;inteligentservice Firstauthor:ZHU XinyanPhDprofessorspecializesinspatialdatabasespatialinformationserviceetc. geozxy@263.net Correspondingauthor:GUO WeiPhDlecturer. guowei98032@gmail.com Foundationsupport:TheNationalKeyTechnologySupportProgramNo.2012BAH35B03;theNationalNaturalScienceFoundationof ChinaNo ;the WuhanTechnologyPlanProgramNo ;theOpenResearchFundProgramofStateKey LaboratoryforInformationEngineeringinSurveyingMappingandRemoteSensing.

NP [11] 7) 4)~ 6) ( ) : Kirk- patrick [26] 1 Fig.1 TextureMergingSketch Map ) 2) 3) 1 4) 5)

NP [11] 7) 4)~ 6) ( ) : Kirk- patrick [26] 1 Fig.1 TextureMergingSketch Map ) 2) 3) 1 4) 5) 40 3 2015 3 GeomaticsandInformationScienceofWuhanUniversity Vol.40No.3 March2015 DOI:10.13203/j.whugis20140231 :1671-8860(2015)03-0347-06 1 1 1 1 430079 : : :P208TP751 :A ISOMAP [1] [2] [25] [3] [4-10]