Entity

Time filter

Source Type


Li X.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Li X.,CAS Shenzhen Institutes of Advanced Technology | Lv Z.,CAS Shenzhen Institutes of Advanced Technology | Wang W.,Key Laboratory of Urban Land Resources Monitoring and Simulation | And 2 more authors.
International Conference on Geoinformatics | Year: 2016

City traffic data has several characteristics, such as large scale, diverse, predictable, and real-time, which falls in the range of definition of big data. This paper proposed a cloud service platform, that targets wise transportation in order to carry out unified management and mining analysis of the huge number of the multivariate and heterogeneous dynamic transportation information, provides real-time transportation information, increases the utilization efficiency of transportation, promotes transportation management and service level of travel information, and provides decision support of transportation management by virtual reality as visual. © 2015 IEEE. Source


Li X.,CAS Shenzhen Institutes of Advanced Technology | Li X.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Lv Z.,CAS Shenzhen Institutes of Advanced Technology | Hu J.,CAS Shenzhen Institutes of Advanced Technology | And 3 more authors.
2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2015 | Year: 2015

A 3D Shenzhen city web platform based on WE-BVRGIS is presented. A 3D globe browser is employed to load all kinds of demanded data of the city, such as 3D building model data, residents information, real-time and historical traffic data. Using these data, the 3D analysis and visualization of the concerned city massive information are conducted in the platform. All the presented functions of the platform are extracted from the practical customer demand. The system design has considered some existing Geographic human-computer interaction (GeoHCI) research results. © 2015 IEEE. Source


Yu W.,Wuhan University | Ai T.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Ai T.,Wuhan University | Shao S.,Wuhan University
Journal of Transport Geography | Year: 2015

Central Business District (CBD) is the core area of urban planning and decision management. The cartographic definition and representation of CBD is of great significance in studying the urban development and its functions. In order to facilitate these processes, the Kernel Density Estimation (KDE) is a very efficient tool as it considers the decay impact of services and allows the enrichment of the information from a very simple input scatter plot to a smooth output density surface. However, most existing methods of density analysis consider geographic events in a homogeneous and isotropic space under Euclidean space representation. Considering the case that the physical movement in the urban environment is usually constrained by a street network, we propose a different method for the delimitation of CBD with network configurations. First, starting from the locations of central activities, a concentration index is presented to visualize the functional urban environment by means of a density surface, which is refined with network distances rather than Euclidean ones. Then considering the specialties of network distance computation problem, an efficient way supported by flow extension simulation is proposed. Taking Shenzhen and Guangzhou, two quite developed cities in China as two case studies, we demonstrate the easy implementation and practicability of our method in delineating CBD. © 2015 Elsevier Ltd. Source


Wu X.,Wuhan University | Wu X.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Benjamin Zhan F.,Texas State University | Zhang K.,Wuhan University | Deng Q.,Wuhan University
Environmental Earth Sciences | Year: 2016

Several extensive landslides have occurred in the vicinity of the Three Gorges Reservoir since its initial impoundment in June 2003. A reduction of the landslide risk is essential for the safety and security of lives and property in the region. This study analyses the deformation states of two typical colluvial landslides (the Baijiabao and Laoshewo landslides) using 6 years of monitoring data, a two-step cluster analysis, and the Apriori algorithm. The landslide displacement versus time curves exhibit step-like patterns, and the landslide deformation is highly correlated with fluctuations in the reservoir level and seasonal precipitation. To determine different types of landslide deformation, the monthly displacement curves of the colluvial landslides are classified into three types using a two-step cluster analysis: initial deformation, constant deformation, and rapid deformation. Five driving factors were selected as the antecedents for the Apriori algorithm to obtain rules that describe the relationships between the landslide deformation and the influential parameters. These factors include the cumulative precipitation over the previous month, the maximum daily precipitation during the current month, changes in the reservoir level over the previous month, cumulative increases in the reservoir level and the average reservoir level during the current month. The analytical results were validated by comparing them with observed landslide deformation characteristics using three measurement standards: support, confidence and lift. The results show that the combined method of a two-step cluster analysis with the Apriori algorithm can effectively model the landslide deformation states that are associated with the Baijiabao and Laoshewo landslides. Moreover, this method may serve as a potential reference for deformation analyses of colluvial landslides in the Three Gorges. © 2015, Springer-Verlag Berlin Heidelberg. Source


Wang W.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Lv Z.,Chinese Academy of Sciences | Li X.,Key Laboratory of Urban Land Resources Monitoring and Simulation | Li X.,Chinese Academy of Sciences | And 3 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The proposed platform supports the integrated VRGIS functions including 3D spatial analysis functions, 3D visualization for spatial process and serves for 3D globe and digital city. The 3D analysis and visualization of the concerned city massive information are conducted in the platform. The amount of information that can be visualized with this platform is overwhelming, and the GIS-based navigational scheme allows to have great flexibility to access the different available data sources. © Springer International Publishing Switzerland 2015. Source

Discover hidden collaborations