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Efficient visualization techniques for high resolution remotely sensed data in a network environment

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Science china(Technological Sciences) 2008年第S1期51卷 124-134页

作者： WENG JingNong1,wu lun2.HUANG Jian1,XIA YuBin3 & CAI Heng1 1 College of Software,Beihang {2.,beijing 100083,china 2.institute of geographical information System and remote Sensing,peking university,beijing 100871,china 3 College of Computer,Beihang {2.,beijing 100083,china 1. College of Software Beihang University Beijing 100083 China2. Institute of Geographical Information System and Remote Sensing Peking University Beijing 100871 China3. College of Computer Beihang University Beijing 100083 China

There are three major research hotspots in efficient visualization techniques of high resolution remotely sensed data in network environment: the data organiza-tion and access in disk storage,the image data stitching and fitting methods,and the network transfers and access. In this paper a new method of "Big File" organi-zation for improving the storage access efficiency of high resolution remote data is presented; a "virtual data source" concept is introduced to solve the stitching problem of remotely sensed data from different sources with different resolutions; a remotely sensed data access engine design based on ATL technique is discussed to process the network transfers and access of remotely sensed data. All these techniques have been adopted in a prototype of digital china named "chinaStar".

关键词： high resolution remotely sensed data spatial index pyramid model LOD Big File

On 3D simulation of moving objects in a digital earth system

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Science china(Technological Sciences) 2008年第S2期51卷 123-132页

作者： WENG JingNong1,wu lun2.HUANG Jian1,WANG Yang1,YANG Xue1 & HU Bin1 1 College of Software,Beihang {2.,beijing 100191,china 2.institute of geographical information System and remote Sensing,peking university,beijing 100871,china College of Software Beihang University Beijing 100191 China institute of geographical {2. System and remote Sensing Peking University Beijing 100871 China

"How do the rescue helicopters find out an optimized path to arrive at the site of a disaster as soon as possible?" or "How are the flight procedures over mountains and plateaus simulated?" and so *** this paper a script language on spatial moving objects is presented by abstracting 3D spatial moving objects' behavior when implementing moving objects simulation in 3D digital Earth scene,which is based on a platform of digital china named "chinaStar".The definition of this script language,its morphology and syntax,its compiling and mediate language generating,and the behavior and state control of spatial moving objects are discussed *** addition,the language's applications and implementation are also discussed.

关键词： Digital Earth chinaStar moving object script language

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大数据的6种地理学应用范式

测绘学报 2024年第8期53卷 1465-1479页

作者：邬伦侯远樵刘瑜北京大学遥感与地理信息系统研究所北京100871

随着大数据时代的来临,多源大数据正在兴起,数据驱动研究范式与地理学日益融合。基于个体行为的地理空间大数据可提供对海量个体行为模式的观察,从而实现“由人及地”的社会感知,支持城市管理、交通、公共卫生等不同应用。本文从应用角... 详细信息

随着大数据时代的来临,多源大数据正在兴起,数据驱动研究范式与地理学日益融合。基于个体行为的地理空间大数据可提供对海量个体行为模式的观察,从而实现“由人及地”的社会感知,支持城市管理、交通、公共卫生等不同应用。本文从应用角度,以地理空间大数据为重点,梳理其支持的6种应用范式,按照层次从低到高依次为描述时空分布、识别异常对象、发现普适规律、揭示关联关系、预测未来趋势及优化空间决策。其中,第1个方向是对地理现象和地理要素时空特征的简单刻画;第2.4个方向则注重探寻时空分布特征背后的规律和机理;最后两项,则是在决策层面提供支持。继而,本文指出大数据应用中数据获取、分析方法和应用目标3方面的问题。

关键词：地理空间大数据时空分布异常对象普适规律关联关系未来趋势空间决策

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A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data

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International Journal of Digital Earth 2020年第6期13卷 708-726页

作者： lun wu Ximeng Cheng Chaogui Kang Di Zhu Zhou Huang Yu Liu institute of remote Sensing and {2. information systems Peking UniversityBeijingPeople’s Republic of China beijing Key Lab of Spatial information Integration and Its Applications Peking UniversityBeijingPeople’s Republic of China School of remote Sensing and information Engineering Wuhan UniversityWuhanPeople’s Republic of China

Mixed use has been extensively applied as an urban planning principle and hinders the study of single urban *** address this problem,it is worth decomposing the mixed *** by the concept of spectral unmixing in remote sensing applications,this paper proposes a framework for mixed-use decomposition based on big *** decomposition in terms of human activities differs from traditional land use research,and it is more reasonable to infer the actual urban function of *** framework consists of four steps,namely temporal activity signature extraction,urban function base curve extraction,mixeduse decomposition,and result ***,the temporal activity signatures(TASs)of each zone are extracted as the proxy of human activity ***,the diurnal TASs of routine activities are extracted as urban function base curves(***).Third,a linear decomposition model is used to decompose the mixed use and obtain multiple results(urban function composition,dynamic activity proportions,and the mixing index).Finally,result validation strategies are *** framework offers method extensibility and has few requirements for the input *** is validated by means of a case study of beijing,based on a social media check-in dataset.

关键词： Mixed use spatial–temporal pattern urban function human activity big geo-data

城市电动自行车违规充电隐患的空间分布及其影响因素

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维普期刊数据库

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北京大学学报（自然科学版） 2021年第4期57卷 671-678页

作者：廖聪邬伦蔡恒陈跃毅田原北京大学遥感与地理信息系统研究所北京100871 空间信息集成与3S工程应用北京市重点实验室北京100871

利用深圳市光明区网格化城市管理系统上报的电动自行车违规充电隐患数据,采用空间热点分析和空间误差回归模型,分析违规充电隐患的空间分布规律及其影响因素。结果表明,用地类型、就业情况、生活设施和交通条件等城市空间要素与电动自... 详细信息

利用深圳市光明区网格化城市管理系统上报的电动自行车违规充电隐患数据,采用空间热点分析和空间误差回归模型,分析违规充电隐患的空间分布规律及其影响因素。结果表明,用地类型、就业情况、生活设施和交通条件等城市空间要素与电动自行车违规充电行为有不同程度的相关性:1)电动自行车违规充电行为存在一定程度的空间自相关,大多数违规充电行为集中在少数网格中,案例区9.2.的网格囊括84.94%的总违规充电隐患数量;2.与出行需求和交通条件相关的变量对电动自行车违规充电行为具有正向刺激作用,住宅用地比例、企业数量和道路密度等指标的标准化回归系数分别为0.09,0.03和0.02.3)城市网格中公用设施、公用建筑用地比例以及到小学的距离与电动车违规充电行为负相关,标准化相关系数为−0.02.−0.01;4)更高的公交站点覆盖率会减少电动自行车的使用行为,相应地,也导致违规充电行为减少。研究结果可以指导网格化管理中的巡查路线优化,提升城市火灾隐患的事前感知和精细化防控能力。

关键词：火灾隐患短距离出行城市空间要素空间自相关网格化管理

基于社交媒体感知城市旅游活动类型--以苏州市为例

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地理与地理信息科学 2020年第2期36卷 54-61页

作者：陈子豪张毅刘瑜邬伦孙奇北京大学地球与空间科学学院遥感与地理信息系统研究所北京100871

感知城市空间中的旅游活动特征,对优化旅游产品结构、促进城市旅游产业升级具有重要意义。该文根据社会感知的研究框架,提出了感知城市空间旅游活动动态特征的研究方法,从社交媒体中提取海量个体旅游时空行为,在聚合层面上统计和发掘旅... 详细信息

感知城市空间中的旅游活动特征,对优化旅游产品结构、促进城市旅游产业升级具有重要意义。该文根据社会感知的研究框架,提出了感知城市空间旅游活动动态特征的研究方法,从社交媒体中提取海量个体旅游时空行为,在聚合层面上统计和发掘旅游时空行为轨迹的时间和语义模式,通过组合两种模式发现城市旅游活动类型及其空间分布。选择苏州作为案例地,抓取了5399161条新浪微博数据,基于该方法得到苏州市的旅游活动类型及其空间分布,实验结果显示准确率达91.34%,证明该方法的分类准确度较高。

关键词：社会感知游客活动活动时间模式旅游要素社交媒体

Mapping essential urban land use categories in china(EULUC-china):preliminary results for 2.18

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Science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong Bin Chen Xuecao Li Han Liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei Ainong Li Xiaoting Li Xun Li Yuechen Li Zhilin Li Zhongde Li Chong Liu Chunxia Liu Maochou Liu Shuguang Liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun Lin Sun Wenyao Sun Tian Tian Xiaohua tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo Zhang Neng Zhang Tao Zhang Yu Zhang Feng Zhao Yichen Zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu Bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban institute Tsinghua UniversityBeijing 100084China Center for Healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China Department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA Department of Geological and Atmospheric Sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China AI for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International institute for Earth System Sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South china College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China College of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China Department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China beijing institute of Urban Planning Beijing 100045China Department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China College of Earth Sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China institute of remote Sensing and Geographic {2. System School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2..However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3,4],more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,china and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-china 土地利用类型