简介：分数维的地理地图数据处理的一些理论问题被讨论，发展，比较并且估计关于分数维的尺寸介绍的一些新方法在这篇论文被建议并且。

简介：ThispaperfocusesontheintegrationanddatatransformationbetweenGPSandtotalstation.ItemphasizesonthewaytotransfertheWGS84Cartesiancoordinatestothelocaltwo-dimensionalplanecoordinatesandtheorthometricheightGPSreceiver,totalstation,radio,notebookcomputerandthecorrespondingsoftwareworktogethertoformanewsurveyingsystem,thesuper-totalstationpositioningsystem(SPS)andanewsurveyingmodelforterrestrialsurveying.Withthehelpofthissystem,thepositionsofdetailpointscanbemeasured.

简介：AnOracle8i-basedap-proachisproposedtomanagetheinte-grateddatabasesoflargeCyberCity.Thisapproachconsistsofthreeisdesignedtoacceleratespatialretrieving,inwhichtheboundingboxesoflocalregionshavenointersectionandallleafnodesoftheR+-tree(geome-tryrecords)havenorepetition;rithmsareadoptedtocompressthedigitalelevationmodels,3Dvectormodelsandimages,suchasLZ77losslesscompressionalgorithmforcompressionofvectordataandJPEGcompressionalgorithmsfortextureim-Oracle8idatabase,aCyberCityGISspatialdatabaseengine(SDE)isdesigned.OnthebasisofthisSDEpro-totypeacasestudyisdone.

简介：Theresearchworkhasbeenseldomdoneaboutcloverleafjunctionexpressionina3-dimensionalcitymodel(3DCM).Themainreasonisthatthecloverleafjunctionisofteninacomplexandenormousconstruction.Itsmainbodyisbestraddleinair,andhasaerialintersectionsbetweenitsparts.Thiscomplexfeaturemadecloverleafjunctionquitedifferentfrombuildingsandterrain,therefore,itisdifficulttoexpressthiskindofspatialobjectsinthesamewayasforbuildingsandterrain.Inthispaper,authorsanalyzespatialcharacteristicsofcloverleafjunction,proposeanall-constraintpointsTINalgorithmtopartitioncloverleafjunctionroadsurface,anddevelopamethodtovisualizecloverleafjunctionroadsurfaceusingTIN.Inordertomanagecloverleafjunctiondataefficiently,theauthorsalsoanalyzedthemechanismof3DCMdatamanagement,extendedBLOBtypeinrelationaldatabase,andcombinedR-treeindextomanage3Dspatialdata.Basedonthisextension,anappropriatedatastructur

简介：36从柱子被恢复了的度和顺序的地球重力场模型CDS01S处理了科学轨道和GFZ的机载的加速表数据“sCHAMPsatellite。模型与精确性解决大地水准面比在700km一半波长的一个决定的4厘米好。由使用重力势系数的学位差别变化把模型CDS01S与EIGEN3P，EIGEN1S和EGM96作比较，结果显示系数ofCDS01S离EIGEN3P的那些很靠近。在在上面的精确性ofgeopotential系数之间的比较的结果当模特儿，显示在在EGM96的比那高的CDS01Sis的系数的精确性。直到30个学位的CDS01S和GGM01C的大地水准面波动被计算，标准差是在他们之间的4.7厘米。

简介：Inthispaper,avariationalmethodispresentedforsolvingtheclassicalgravimetric,satellitegravimetricandsatellitealtimetricmixedtypeboudaryvalueproblemtoobtainthepotentialcoefficients.Accordingtothisprinciple,classicalgravimetricdata（heightmeasuredbygeometriclevellingorheighttriangulation）,satellitegravimetricdata（heightmeasuredbysatellitegeodesytechnique）andsatellitealtimetricdatacanbeusedjointlytocalculatethepotentialcoefficients.

简介：DetectionofaperiodicsignalhiddeninnoiseisthegoalofSuperconductingGravimeter(SG)dataanalysis.Duetospikes,gaps,datumshrifts(offsets)andotherdisturbances,thetraditionalFFTmethodshowsinherentlimitations.Instead,theleastsquaresspectralanalysis(LSSA)hasshoweditselfmoresuitablethanFourieranalysisofgappy,unequallyspacedandunequallyweighteddataseriesinavarietyofapplicationsingeodesyandgeophysics.ThispaperreviewstheprincipleofLSSAandgivesapossiblestrategyfortheanalysisoftimeseriesobtainedfromtheCanadianSuperconductingGravimeterInstallation(CGSI),withgaps,offsets,unequalsamplingdecimationofthedataandunequallyweighteddatapoints.

简介：Dataacquisitionandmodelingarethetwoimportant,difficultandcostfulaspectsinaCybercityproject.2D-GISismatureandcanmanagealotofspatialdata.Thus3D-GISshouldmakethebestofdataandtechnologyof2D-GIS.ConstructionofausefulsyntheticenvironmentrequiresintegrationofmultipletypesofinformationlikeDEM,textureimagesand3Drepresentationofobjectssuchasbuildings.Inthispaper,themethodfor3Dcitylandscapedatamodelandvisualizationbasedonintegrateddatabasesispresented.Sincethedatavolumeofrasterareveryhuge,specialstrategies(forexample,pyramidgriddedmethod)mustbeadoptedinordertomanagerasterdataefficiently.Threedifferentmethodsofdataacquisition,theproperdatastructureandasimplemodelingmethodarepresentedaswell.Atlast,apilotprojectofShanghaiCybercityisillustrated.

简介：最近，在geovisualization的领域里积累的专家知识在抽象多维的数据的可视化发现了申请，根据调用spatialization方法的方法。Spatialization方法瞄准由使用空间比喻和适用的尺寸减小技术设想多维的数据直到低维的具象主义的空格。空间比喻能在颗粒度的不同层次为信息的可视化提供一个metaphoric框架。现在的论文做颗粒度的问题怎么在spatialization方法的代表性的例子的上下文被处理的调查。而且，这份报纸介绍原型工具Geo花茎，它为在颗粒度的不同层次代表并且探索多维的数据提供交互spatialization环境，由使用一种核密度评价技术并且在风景光滑比喻上。一种示范情形靠着表演被介绍Geo花茎怎么帮助发现知识进数据的一个大集合，由组织他们进根据一项类似措施的有意义的簇并且在颗粒度的不同层次组织他们。

简介：为GPS和INS(惯性的航行系统)处理的综合数据的方法用过滤技术的适应Kalman在落基山脉上回答测试被介绍。根据已知的GPS产量和GPS和INS的偏移量，州的方程和观察被设计执行计算并且改进航行精确性。与方法，可靠航行参数被获得了的例子hows。

简介：这篇论文为遥远地察觉到的数据，结果的分类的模糊的度被作为由一个常规算法与那作比较减少聚类的fuzzyc工具描述一个改进算法：也就是说，分类精确性被增加。这被在单个班的水平合并协变性矩阵而非假定全球的完成。从一个爱丁堡郊外的陆地封面的一个模糊分类的实验结果为聚类的fuzzyc工具证实了新算法的改进性能，特别地当模糊也在假定参考书数据被提供时。

简介：Spatialandtemporalresolutionofwatervaporcontentisusefulinimprovingtheaccuracyofshort-termweatherprediction.DenseandcontinuouslytrackingregionalGPSarrayswillplayanimportantroleinremotesensingatmosphericwatervaporcontent.Inthisstudy,apiecewiselinearsolutionmethodwasproposedtoestimatetheprecipitablewatervapor(PWV)contentfromground-basedGPSobservationsinHongKong.ToevaluatethesolutionaccuracyofthewatervaporcontentsensedbyGPS,theupperairsoundingdata(radiosonde)thatarecollectedlocallywasusedtocalculatetheprecipitablewatervaporduringthesameperiod.One-monthresultsofPWVfrombothground-basedGPSsensingtechniqueandradiosondemethodareinagreementwithin1～2mm.ThisencouragingresultwillmotivatetheGPSmeteorologyapplicationbasedontheestablishmentofadenseGPSarrayinHongKong.

简介：ThispaperreportssomeresearchesondistributionoflargevolumeimagedatausingtechniquesoftheMixedModeofJavaServletandCOMonWeb.Thearchitectureandkeytechnologiesarediscussedindetail.Thewebdistributionsystemofimageisimplementedandthesystemistestedbytheapplicationinstances.Atlast,theadvantagesanddisadvantagesforthiswebimagedistributionmodeareanalyzed.

简介：Thispaperintroducestheprocessofmaking3DvectorscenographofanancientbuildingwithlargequantitiesofdatawiththeaidofAutoCAD,whichdisplaystheeffectofscenerydrawings.ThevitalskillsandtechniqueinvolvedareillustratedthroughtheexampleofPagodaofThousandsofBuddhainChiLinNunneryinHongKong.Thisconstructionwasstartedin1996andfinishedin1999withtheconcretestructureinternalandwoodexternal,imitatingthestyleofbuildingsinTangDynasty.Thus,3Dvectorscenographbecomeavailabletousers.

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简介：这是主要讨论CRNM的实现问题的论文的一个三部分的系列的期末考试。在系列的开始的二篇论文分别地介绍了当模特儿的背景和方法论。CRNM的全面体系结构在最后纸被建议了。根据上面讨论，为为一条轨道的地点点提供空间参考书的一个线性参考书方法(LRM)被开发。案例研究被介绍说明CRNM的应用程序因为在真实世界上为一个道路网络建模被给。Acomprehensive结论为报纸的系列被给。

简介：Theprocessingofnonlineardatawasoneofhottopicsinsurveyingandmappingfieldinrecentyears.Asaresult,manylinearmethodsandnonlinearmethodshavebeendeveloped.Butthemethodsforprocessinggeneralizednonlinearsurveyingandmappingdata,especiallyfordifferentdatatypesandincludingunknownparameterswithrandomornonrandom,areseldomnoticed.Anewalgorithmmodelispresentedinthispaperforprocessingnonlineardynamicmultiple-periodandmultiple-accuracydataderivedfromdeformationmonitoringnetwork.

简介：Thispaperintegratesgeneticalgorithmandneuralnetworktechniquestobuildnewtemporalpredictinganalysistoolsforgeographicinformationsystem(GIS).ThesenewGIStoolscanbereadilyappliedinapracticalandappropriatemannerinspatialandtemporalresearchtopatchthegapsinGISdataminingandknowledgediscoveryfunctions.ThespecificachievementhereistheintegrationofrelatedartificialintelligenttechnologiesintoGISsoftwaretoestablishaconceptualspatialandtemporalanalysisframework.And,byusingthisframeworktodevelopanartificialintelligentspatialandtemporalinformationanalyst(ASIA)systemwhichthenisfullyutilizedintheexistingGISpackage.Thisstudyofairpollutantsforecastingprovidesageographicalpracticalcasetoprovetherationalizationandjustnessoftheconceptualtemporalanalysisframework.

简介：Weplantoestimateglobalnetprimaryproduction(NPP)ofvegetationusingtheAdvancedEarthObservingSatellite-Ⅱ(ADEOS-Ⅱ)GlobalImager(GLI)multi-spectraldata.WederiveanNPPestimationalgorithmfromgroundmeasurementdataontemperateplantsinJapan.Bythealgorithm,weestimateNPPusingavegetationindexbasedonpatterndecomposition(VIPD)fortheMongolianPlateau.TheVIPDisderivedfromLandsatETM+multi-spectraldata,andtheresultingNPPestimationiscomparedwithgrounddatameasuredinasemi-aridareaofMongolia.TheNPPestimationderivedfromsatelliteremotesensingdataagreeswiththegroundmeasurementdatawithintheerrorrangeof15%whenallabove-groundvegetationNPPiscalculatedfordifferentvegetationclassifications.

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