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Wu X.-C.,Wuhan University | Wu X.-C.,Engineering Research Center for Software and Applications
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

To fully integrate various urban information resources and effectively consolidate business applications of all urban departments, the foundation information supporting platform is established to meet the need of building information foundation platform for digital city, which can manage various urban information resources effectively and provide various applications and services. The integration development platform for digital is realized by the MapGIS data center technology of data warehouse, function warehouse, building up secondary development. And the platform can provide a unified application and service system for all kinds of urban business and realize network-based social services and sharing various urban information resources. Then it can maximize the economic and social benefits of urban information resources in China. Source


Xu Z.-Y.,Wuhan University | Xu Z.-Y.,Engineering Research Center for Software and Applications | Wu X.-C.,Wuhan University | Wu X.-C.,Engineering Research Center for Software and Applications
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

Due to rapid development of intelligent terminals and Internet, the mobile spatial information services becomes an important part of Digital City and Digital Earth, and the kinds of embedded geographic information system (GIS) based on positioning and navigation become the main form of the services. This paper analyzes the characteristics of modern spatial information services, with hierarchical modular design method. The modules, such as portable GIS-based abstraction layer, multiple data storage model, electronic map display engine and high-performance applications service engine is introduced. A portable embedded GIS platform is designed, which provides a practical solution for popular application development of mobile spatial information service. Source


Zhou S.-P.,Wuhan University | Zhou S.-P.,Engineering Research Center for Software and Applications | Hu M.-S.,Wuhan University | Hu M.-S.,Engineering Research Center for Software and Applications | Fang F.,Wuhan University
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

As spatial data center technology is increasingly well developed and highly sophisticated, the land resource management area is in bad need of a new model of distributed geographic information system (GIS) applications, which is featured by the integrated management and utilization of spatial data. In addition, much has to be worked out soon in the areas such spatial data integration and comprehensive use, incremental updates, as well as software functions sharing and cooperative development of different manufacturers. In this paper, based on the spatial data center technology, and by introducing the distributed heterogeneous spatial data seamless integration technology, a concept model called seamless spatial data center is established, and the technology is discussed. Source


Chen Z.-L.,Wuhan University | Chen Z.-L.,Engineering Research Center for Software and Applications | Wu X.-C.,Wuhan University | Xie Z.,Wuhan University | And 2 more authors.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

In order to improve the efficiency of parallel processing of a spatial mass data under the distributed parallel computing grid environment, this paper presents a new grid slot hash parallel spatial index GSHR-Tree structure established with the parallel spatial indexing mechanism. Based on the hash table and dynamic spatial slot, we have improved the structure of the classical parallel R-tree index. The GSHR-Tree index makes full use of the good qualities of R-Tree and hash data structure. A new parallel spatial index is constructed to meet the needs of parallel grid computing about the magnanimous spatial data in the distributed network. This arithmetic splits space into multi-slots by multiplying and reverting and maps these slots to sites in distributed and parallel system. Each site constructs the spatial objects in its spatial slot into an R-tree. On the basis of this tree structure, the index data is distributed among multiple nodes in the grid networks by using large node R-tree method. Instead of spatial object's recursive comparison where original R-tree has been used, the algorithm builds the spatial index by applying binary code operation in which computer runs more efficiently, and extends dynamic hash code for bit comparison, using the system response time of the parallel processing of spatial scope query algorithm as the performance evaluation factor. The result of the simulated the experiments shows GSHR-Tree is performed to prove the reasonable design and the high performance of the indexing structure presented in the paper. Source


Wan B.,Wuhan University | Wan B.,Engineering Research Center for Software and Applications | Yang L.,Wuhan University | Yang L.,Engineering Research Center for Software and Applications
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2010

More and more organizations and departments need collaboration of geographic information function to complete work. The key is component reuse and collaboration in geographic information system (GIS) area. This paper adopts the component framework based on black box reuse, discusses the key technologies of function warehouse. Firstly, multi granularity component structure is presented, including atom granularity, function component, function plug-in and function flow; Secondly, uniform function protocol is defined for unified management and release, unified configuration and system building on heterogeneous function resources. Through unified protocol, running service can discover and call function resource dynamically and achieve the function resource position and parameter transfer. Function warehouse can integrate various types of function resources, implement the uniform management and call in data center, and finally achieve collaboration of geographic information function with workflow engine and visual model building tools. Source

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