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| 1 | Geographic analysis-oriented Virtual Geographic Environment:Framework,structure and functions显示文摘Previous research on the Virtual Geographic Environment(VGE) has focused mainly on representation rather than geographic analysis.However,geographic analysis plays a significant role in modern geography.To address this issue,this paper systematically examines theories and implementing VGE techniques that support geographical analysis and simulation.Based on its framework,VGE can be divided into four subtypes.These are the data environment,modeling environment,expression environment,and collaborative environment.The functions and key techniques of each are examined,and some case studies are discussed.This study provides direction for necessary new developments of advanced VGE platforms. | LU GuoNian | 2011 | Science China Earth Sciences2011，54，5： | 18 |
| 2 | Chinese progress in geomorphometry显示文摘Geomorphometry,the science of digital terrain analysis(DTA),is an important focus of research in both geomorphology and geographical information science(GIS).Given that 70% of China is mountainous,geomorphological research is popular among Chinese scholars,and the development of GIS over the last 30 years has led to significant advances in geomorphometric research.In this paper,we review Chinese progress in geomorphometry based on the published literature.There are three major areas of progress:digital terrain modelling methods,DTA methods,and applications of digital terrain models(DTMs).First,traditional vector-and raster-based terrain modelling methods,including the assessment of uncertainty,have received widespread attention.New terrain modelling methods such as unified raster and vector,high-fidelity,and real-time dynamic geographical scene modelling have also attracted research attention and are now a major focus of digital terrain modelling research.Second,in addition to the popular DTA methods based on topographical derivatives,geomorphological features,and hydrological factors extracted from DTMs,DTA methods have been extended to include analyses of the structure of underlying strata,ocean surface features and even socioeconomic spatial structures.Third,DTMs have been applied to fields including global climate change,analysis of various typical regions,lunar surface and other related fields.Clearly,Chinese scholars have made significant progress in geomorphometry.Chinese scholars have had the greatest international impact in areas including high-fidelity digital terrain modelling and DTM-based regional geomorphological analysis,particularly in the Loess Plateau and the Tibetan Plateau regions. | LV Guonian XIONG Liyang CHEN Min TANG Guoan SHENG Yehua LIU Xuejun SONG Zhiyao LU Yuqi YU Zhaoyuan ZHANG Ka WANG Meizhen | 2017 | Journal of Geographical Sciences2017，27，11： | 14 |
| 3 | Satellite SAR interferometric observations of displacements associated with urban subsidence in Suzhou, Eastern China显示文摘SAR interferometry (InSAR) has a high potential for surface displacement mapping in the range from millimeter to meter. In this paper the potential of ERS-1/2 SAR interferometry for mapping subtle land subsidence has been investigated. A time series of ERS-1/2 SAR data from February 1993 to February 2000 is collected from measurements taken in Suzhou city, Jiangsu Province, China, eight ERS-1/2 SAR images are used to create seven interferograms, and three differential interferograms are produced using the three-pass method, which clearly show the spatial extent of land subsidence. The deformation maps are validated by leveling surveys, the correlation coefficient and standard deviation between them are 0.943 and 0.1706 respectively. Based on seven benchmarks, the subsidence rates are estimated, the overall trends are in close agreement with InSAR results. The results of study show that for the mapping of land subsidence in urban environments InSAR has a strong potential due to its cost-saving, high resolution and accuracy. | WANG Chao, ZHANG Hong, LIU Zhi, CHENG Suozhong and LU Guonian(1. LARSIS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China 2. Department of Geography, Nanjing Normal University, Nanjing 210097, China) | 2002 | Progress in Natural Science:Materials International2002，12，10： | 13 |
| 4 | A new geographical language: A perspective of GIS显示文摘语言在通讯起一个重要作用,分享并且在人之中的信息的传播。地理语言为理解是必要的,调查,表示并且宣传 geo 空间的信息。地理语言在科学,技术和认知层次与改进逐渐地发展了并且演变。有关从地理信息本体论,认识论和语言学理论的理论进步,这份报纸第一提出一种 GIS 语言的概念并且在地理语言的结构,功能和特征根据变化讨论它的基本特征。这种 GIS 语言能被认为是合成数字符号的一个系统。它是地理目标,现象和他们的空间分布和动态过程的一个全面代表。这个代表帮助我们与几何学,地位,进程,时间空间的关系,语义和属性用地理情形或符号产生地理空格的一种通用感觉。而且,这份报纸声明 GIS 语言由于它的内在的特征,结构,功能和系统的内容代表地理语言的新一代。基于上述的理论基础,这份报纸从地理研究人员的观点说明 GIS 语言的枢轴的地位和贡献。GIS 的语言是为当前的时代设计的一种新地理语言,与包括时间空间的多尺寸表示,交互可视化,虚拟地理情形,多传感器感觉并且经由网的有用广播的特征。GIS 语言是迄今为止开发的高度级的地理语言,集成语义定义,特征抽取,地理动态表示和时间空间的因素并且统一地理现象和目标的计算。GIS 语言拥有五个重要特征:抽象,系统,严格,精确和层次。在摘要, GIS 语言提供一个新工具让人认出,理解并且模仿全部 geo 环境。因此,在当代的地理开发的 GIS 语言功能的探索正在变得日益重要。同样,概念的模型的建设和 GIS 语言的科学系统将支持地理和地理信息科学的学科的开发。因此,这份报纸从数字技术,地理标准,地理建模和地理的纪律发展的观点调查 GIS 语言的前景。 | HU Zui TANG Guoan LU Guonian | 2014 | Journal of Geographical Sciences2014，24，3： | 7 |
| 5 | Video Scene Invariant Crowd Density Estimation Using Geographic Information Systems显示文摘Crowd density is an important factor of crowd stability.Previous crowd density estimation methods are highly dependent on the specific video scene.This paper presented a video scene invariant crowd density estimation method using Geographic Information Systems(GIS) to monitor crowd size for large areas.The proposed method mapped crowd images to GIS.Then we can estimate crowd density for each camera in GIS using an estimation model obtained by one camera.Test results show that one model obtained by one camera in GIS can be adaptively applied to other cameras in outdoor video scenes.A real-time monitoring system for crowd size in large areas based on scene invariant model has been successfully used in 'Jiangsu Qinhuai Lantern Festival,2012'.It can provide early warning information and scientific basis for safety and security decision making. | SONG Hongquan LIU Xuejun LU Guonian ZHANG Xingguo WANG Feng | 2014 | China Communications2014，11，11： | 2 |
| 6 | Prototyping an open environment for sharing geographical analysis models on cloud computing platform显示文摘The sharing of geographical analysis models is of crucial importance for simulating geographic processes and phenomena in the current geographical information systems(e.g.Digital Earth),but there remain some issues that have not been completely resolved.The challenges include,eliminating model heterogeneity and searching for suitable infrastructures to support the open sharing and effective execution of models.Taking advantage of cloud computing,this article aims to address the above issues and develop an open environment for geographical analysis model sharing.On the basis of the analysis of the applicability of cloud computing,the architecture of the open environment is proposed.More importantly,key strategies designed for heterogeneous model description,model encapsulating as well as model deploying and transparent accessing in the cloud are discussed in detail to establish such an environment.Finally,the prototype environment is implemented,and experiments were conducted to verify the environment’s feasibility to support the sharing of geographical analysis models. | Yongning Wen Min Chen Guonian Lu Hui Lin Li He Songshan Yue | 2013 | International Journal of Digital Earth2013，6，4： | 1 |
| 7 | A spatial-temporal framework for historical and cultural research on China显示文摘 | Min Chen Hui Lin Guonian Lu etc | 2011 | Applied Geography2011，31，3： | 1 |
| 8 | Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool显示文摘 | Hui Lin Min Chen Guonian Lu Qing Zhu Jiahua Gong Xiong You Yongning Wen Bingli Xu Mingyuan Hu | 2013 | Earth-Science Reviews2013，，： | 1 |
| 9 | Geographic information science in the era of geospatial big data: A cyberspace perspective显示文摘The advent of information and communication technology and the Internet of Things have led our society toward a digital era.The proliferation of personal computers,smartphones,intelligent autonomous sensors,and pervasive network interactions with individuals have gradually shifted human activities from offline to online and from in person to virtual.This transformation has brought a series of challenges in a variety of fields,such as the dilemma of placelessness,some aspects of timelessness(no time relevance),and the changing relevance of distance in the field of geographic information science(GIScience).In the last two decades,“cyber thinking”in GIScience has received significant attention from different perspectives.For instance,human activities in“cyberspace”need to be reconsidered when coupled with the geographic space to observe the first law of geography. | Xintao Liu Min Chen Christophe Claramunt Michael Batty Mei-Po Kwan Ahmad MSenousi Tao Cheng Josef Strobl Arzu Cöltekin John Wilson Temenoujka Bandrova Milan Konecny Paul MTorrens Fengyuan Zhang Li He Jinfeng Wang Carlo Ratti Olaf Kolditz Alexander Klippel Songnian Li Hui Lin Guonian Lu | 2022 | The Innovation2022，3，5： | 1 |
| 10 | Modeling the tide system of the East China Sea with GIS 显示文摘 | Lin Hui Lu Guonian Song Zhiyao | 1999 | Marine Geodesy1999，22，： | 1 |
| 11 | A model-service deployment strategy for collaboratively sharing geo-analysis models in an open web environment显示文摘Geo-analysis models can be shared and reused via model-services to support more effective responses to risks and help to build a sustainable world.The deployment of model-services typically requires significant effort,primarily because of the complexity and disciplinary specifics of geo-analysis models.Various modelling participants engage in the collaborative modelling process:geo-analysis model resources are provided by model providers,computational resources are provided by computational resource providers,and the published model-services are accessed by model users.This paper primarily focuses on model-service deployment,with the basic goal of providing a collaboration-oriented method for modelling participants to conveniently work together and make full use of modelling and computational resources across an open web environment.For model resource providers,a model-deployment description method is studied to help build model-deployment packages;for computational resource providers,a computational resource description method is studied to help build model-service containers and connectors.An experimental system for sharing and reusing geo-analysis models is built to verify the capability and feasibility of the proposed methods.Through this strategy,modellers from dispersed regions can work together more easily,thus providing dynamic and reliable geospatial information for Future Earth studies. | Yongning Wen Min Chen Songshan Yue Peibei Zheng Guoqiang Peng Guonian Lu | 2017 | International Journal of Digital Earth2017，10，4： | 0 |
| 12 | Ocean surface currents estimated from satellite remote sensing data based on a global hexagonal grid显示文摘Global ocean surface currents estimated from satellite derived data based on a regular global grid are affected by the grid’s shape and placement.Due to different neighbourhood relationships,the rectangular lat/lon grids lose accuracy when interpolating andfitting elevation data.Hexagonal grids have shown to be advantageous due to their isotropic,uniform neighbourhood.Considering these merits,this paper aims to estimate global ocean surface current using a global isotropic hexagonal grid from satellite remote sensing data.First,gridded satellite altimeter data and wind data with different resolutions are interpolated into the centre of the global isotropic hexagonal grid.Then,geostrophic and Ekman currents components are estimated according to the Lagerlof Ocean currents theory.Finally,the inversion results are verified.By analyzing the results,we conclude that the ocean surface currents estimated based on the global isotropic hexagonal grid have considerable accuracy,with improvement over rectangular lat/lon grids. | Wenbo Wang Huijun Zho Senyuan Zheng Guonian Lu Liangchen Zhou | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
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