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A Holistic Framework for Airport Spatial Data Maintenance:Bridging Theory and Practice 认领 引用
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作者 Amin Khoshkenar Hala Nassereddine Sherali Zeadally 《Digital Twins and Applications》 EI 2026年第1期150-166,共17页
Effective spatial data maintenance during the operation and maintenance phase of airports is imperative for the infrastructure safety,operational effectiveness,and compliance with regulations.However,airports encounte... Effective spatial data maintenance during the operation and maintenance phase of airports is imperative for the infrastructure safety,operational effectiveness,and compliance with regulations.However,airports encounter serious challenges such as lack of management support,insufficient funding,and poor-quality data sources.Despite the recognised potential of emerging technologies such as digital twins,digital threads,ontologies,scalable data architectures,and governance frameworks,their integrated application for airport spatial data management remains unexplored.The existing literature focuses on analysing these technologies individually,leaving a large gap for their combined application for end-to-end comprehensive spatial data maintenance.To bridge this gap,this research proposes a comprehensive,literature-based framework using qualitative research as the underlying approach with the inclusion of a comprehensive literature review,and semi-structured interviews with experts for practical significance and theoretical richness.By employing inductive thematic analysis,we identified critical drivers and challenges in the practice of spatial data maintenance.The proposed framework brings together digital twins for realistic infrastructure simulation,digital threads for end-to-end data traceability,ontologies for semantic interoperability,data lakehouses for cost-optimisation,and a governance layer for compliance and data integrity.The integrated ecosystem addresses the identified challenges by leveraging the identified drivers and technological synergies,enhancing data-driven decision-making capabilities across diversified airport settings.Although the proposed framework is theoretically validated,it must be tested on real airports,representing a critical limitation.Additionally,the scope of the research is constrained by stakeholder insights primarily from medium-sized U.S.airports,which may limit applicability for large airports or other regulatory frameworks.Future research will involve piloting the framework for empirical testing of performance and adaptability,enhancing stakeholder engagement across the world,examining the strategies for mainstreaming with existing airport systems,and addressing ethical and cybersecurity issues. 展开更多
关键词 airport operations digital threads digital twin governance ontology spatial data maintenance
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An Improved Hilbert Curve for Parallel Spatial Data Partitioning 认领 引用 被引量:7
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作者 MENG Lingkui HUANG Changqing +1 位作者 ZHAO Chunyu LIN Zhiyong 《Geo-Spatial Information Science》 EI 2007年第4期282-286,共5页
A novel Hilbert-curve is introduced for parallel spatial data partitioning,with consideration of the huge-amount property of spatial information and the variable-length characteristic of vector data items.Based on the... A novel Hilbert-curve is introduced for parallel spatial data partitioning,with consideration of the huge-amount property of spatial information and the variable-length characteristic of vector data items.Based on the improved Hilbert curve,the algorithm can be designed to achieve almost-uniform spatial data partitioning among multiple disks in parallel spatial databases.Thus,the phenomenon of data imbalance can be significantly avoided and search and query efficiency can be enhanced. 展开更多
关键词 parallel spatial database spatial data partitioning data imbalance Hilbert curve
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Design of Service-Oriented Architecture for Spatial Data Integration and Its Application in Building Web-based GIS Systems 认领 引用 被引量:4
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作者 SHA Zongyao XIE Yichun 《Geo-Spatial Information Science》 EI 2010年第1期8-15,共8页
In this paper we propose a service-oriented architecture for spatial data integration(SOA-SDI)in the context of a large number of available spatial data sources that are physically sitting at different places,and deve... In this paper we propose a service-oriented architecture for spatial data integration(SOA-SDI)in the context of a large number of available spatial data sources that are physically sitting at different places,and develop web-based GIS systems based on SOA-SDI,allowing client applications to pull in,analyze and present spatial data from those available spatial data sources.The proposed architecture logically includes 4 layers or components;they are layer of multiple data provider services,layer of data in-tegration,layer of backend services,and front-end graphical user interface(GUI)for spatial data presentation.On the basis of the 4-layered SOA-SDI framework,WebGIS applications can be quickly deployed,which proves that SOA-SDI has the potential to reduce the input of software development and shorten the development period. 展开更多
关键词 spatial data integration web-based GIS service-oriented architecture software
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A Construction Schema for Provincial Spatial Database of China 认领 引用 被引量:3
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作者 WANG Yandong GONG Jianya 《Geo-Spatial Information Science》 EI 2009年第1期25-32,共8页
In order to provide a provincial spatial database,this paper presents a scheme for spatial database construction to meet the needs of China.The objective and overall technical route of spatial database construction ar... In order to provide a provincial spatial database,this paper presents a scheme for spatial database construction to meet the needs of China.The objective and overall technical route of spatial database construction are described.The logical and physical database models are designed.Key issues are addressed,such as integration of multi-scale heterogeneous spatial databases,spatial data version management based on metadata and integrative management of map cartography and spatial database. 展开更多
关键词 spatial data database construction provincial
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GPS probe map matching algorithm based on spatial data model 认领 引用 被引量:1
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作者 王卫 过秀成 侯佳 《Journal of Southeast University(English Edition)》 EI CAS 2010年第3期461-465,共5页
To improve the performance of the traditional map matching algorithms in freeway traffic state monitoring systems using the low logging frequency GPS (global positioning system) probe data, a map matching algorithm ... To improve the performance of the traditional map matching algorithms in freeway traffic state monitoring systems using the low logging frequency GPS (global positioning system) probe data, a map matching algorithm based on the Oracle spatial data model is proposed. The algorithm uses the Oracle road network data model to analyze the spatial relationships between massive GPS positioning points and freeway networks, builds an N-shortest path algorithm to find reasonable candidate routes between GPS positioning points efficiently, and uses the fuzzy logic inference system to determine the final matched traveling route. According to the implementation with field data from Los Angeles, the computation speed of the algorithm is about 135 GPS positioning points per second and the accuracy is 98.9%. The results demonstrate the effectiveness and accuracy of the proposed algorithm for mapping massive GPS positioning data onto freeway networks with complex geometric characteristics. 展开更多
关键词 GPS probe map matching A-star algorithm fuzzy logic Oracle spatial data model
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Relationship of Uncertainty Between Polygon Segment and Line Segment for Spatial Data in GIS 认领 引用 被引量:1
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作者 LIU Chun TONG Xiaohua 《Geo-Spatial Information Science》 EI 2005年第3期183-188,共6页
The mathematic theory for uncertainty model of line segment are summed up to achieve a general conception, and the line error hand model of εσ is a basic uncertainty model that can depict the line accuracy and quali... The mathematic theory for uncertainty model of line segment are summed up to achieve a general conception, and the line error hand model of εσ is a basic uncertainty model that can depict the line accuracy and quality efficiently while the model of εm and error entropy can be regarded as the supplement of it. The error band model will reflect and describe the influence of line uncertainty on polygon uncertainty. Therefore, the statistical characteristic of the line error is studied deeply by analyzing the probability that the line error falls into a certain range. Moreover, the theory accordance is achieved in the selecting the error buffer for line feature and the error indicator. The relationship of the accuracy of area for a polygon with the error loop for a polygon boundary is deduced and computed. 展开更多
关键词 spatial datas error bands polygon segments uncertainty
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Design and Implementation of Spatial Data Watermarking Service System 认领 引用
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作者 WU Baiyan WANG Wei +2 位作者 PENG Zhiyong DU Daosheng WANG Chuanjian 《Geo-Spatial Information Science》 EI 2010年第1期40-48,共9页
Nowadays, more and more digitalized spatial data are sold and transmitted on the Internet. Thus, there arises an important issue about copyright protection of the digital data. To solve this problem, this paper has de... Nowadays, more and more digitalized spatial data are sold and transmitted on the Internet. Thus, there arises an important issue about copyright protection of the digital data. To solve this problem, this paper has designed and implemented a spatial data watermarking service (SDWS) system which can provide a secure framework for data transaction and transfer via the Internet and protect the rights of both copyright owners and consumers at the same time. 展开更多
关键词 spatial data transaction digital watermarking watermarking protocol mobile agent digital signature
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Diffusion of Spatial Data Infrastructures: Private More Inspired than the Public Sector---A Case of Tanzania 认领 引用
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作者 Martine Hagai 《Journal of Environmental Science and Engineering(B)》 CAS 2017年第3期160-164,共5页
Spatial data is a key resource for national development. There is a lot of potential locked in spatial data and this potential may be realized by making spatial data readily available for various applications. SD1 (S... Spatial data is a key resource for national development. There is a lot of potential locked in spatial data and this potential may be realized by making spatial data readily available for various applications. SD1 (Spatial Data Infrastructures) provides a platform for the data users, producers and so on to generate and share spatial data effectively. Though efforts to develop spatial data infrastructures started worldwide in the late 1970s, SDIs are still perceived by many institutions as new innovation; as such, they have not penetrated to all institutions to bring about effective management and development changes. This paper is reporting on a study conducted to assess SDI Readiness Index for Tanzania. The study aimed at identifying problems undermining SD1 implementation in Tanzania, despite its potential in bringing fast socio-economic development elsewhere in the world. This paper is based on a research based on views from stakeholders of geospatial technology industry in Municipal Councils, Private Companies and Government Departments in Tanzania. Results indicated that Private Companies are more inspired than Government institutions towards implementation of SDIs. And those problems affecting implementation of SDIs are lack of National SDI Policy, lack of awareness and knowledge about SDIs, limited funding to operationalise SDI, lack of institutional leadership to coordinate SDI development activities, lack of political commitment from the Government. It is recommended that delibate efforts be devised to raise awareness of SDI amongst the Tanzanian community. 展开更多
关键词 Spatial data SDI Spatial Data Infrastructure) SDI Readiness Index SDI Readiness factors
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Spatial Data Mining to Support Environmental Management and Decision Making--A Case Study in Brazil 认领 引用
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作者 Carlos Roberto Valencio Fernando Tochio Ichiba Guilherme Priollli Daniel Rogeria Cristiane Gratao de Souza Leandro Alves Neves Angelo Cesar Colombini 《Computer Technology and Application》 2014年第1期25-32,共8页
The growth of geo-technologies and the development of methods for spatial data collection have resulted in large spatial data repositories that require techniques for spatial information extraction, in order to transf... The growth of geo-technologies and the development of methods for spatial data collection have resulted in large spatial data repositories that require techniques for spatial information extraction, in order to transform raw data into useful previously unknown information. However, due to the high complexity of spatial data mining, the need for spatial relationship comprehension and its characteristics, efforts have been directed towards improving algorithms in order to provide an increase of performance and quality of results. Likewise, several issues have been addressed to spatial data mining, including environmental management, which is the focus of this paper. The main original contribution of this work is the demonstration of spatial data mining using a novel algorithm with a multi-relational approach that was applied to a database related to water resource from a certain region of S^o Paulo State, Brazil, and the discussion about obtained results. Some characteristics involving the location of water resources and the profile of who is administering the water exploration were discovered and discussed. 展开更多
关键词 Water resource management spatial data mining multi-relational spatial data mining spatial clustering environmentalmanagement.
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A brief overview of current status of European spatial data infrastructures-relevant developments and perspectives for Bulgaria 认领 引用 被引量:2
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作者 Lyubka Pashova Temenoujka Bandrova 《Geo-Spatial Information Science》 EI CSCD 2017年第2期97-108,共12页
The paper aims to present a concise overview of the current status of the national spatial data infrastructures(SDI)of the European Union(EU)member states combined with specific peculiarities for Bulgaria.Some major c... The paper aims to present a concise overview of the current status of the national spatial data infrastructures(SDI)of the European Union(EU)member states combined with specific peculiarities for Bulgaria.Some major challenges within the progress of the EU SDIs establishing,which is regulated by the European Directive INSPIRE(Infrastructure for spatial information in Europe)toward establishment of a SDI for environmental policies and activities,are marked out.Available comparative analyses of the main indicators for metadata,data-sets,and data services provided by EU member states are briefly discussed as a special attention is given to the Bulgarian progress.Recent achievements on accelerating the process of implementing the recommendations of the INSPIRE Directive in Bulgaria are outlined. 展开更多
关键词 Spatial data infrastructure(SDI) INSPIRE Directive geospatial information Bulgaria
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Large-scale spatial data visualization method based on augmented reality 认领 引用
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作者 Xiaoning QIAO Wenming XIE +4 位作者 Xiaodong PENG Guangyun LI Dalin LI Yingyi GUO Jingyi REN 《虚拟现实与智能硬件(中英文)》 EI 2024年第2期132-147,共16页
Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for rese... Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules. 展开更多
关键词 Large-scale spatial data analysis Visual analysis technology Augmented reality 3D reconstruction Space environment
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Spatial data modeling for coalfield geological environment 认领 引用
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作者 JIA Bei SU Qiao-mei LIU Chen LI Hui-juan 《Journal of Coal Science & Engineering(China)》 2010年第3期300-305,共6页
Presented a study on the design and implementation of spatial data modelingand application in the spatial data organization and management of a coalfield geologicalenvironment database.Based on analysis of a number of... Presented a study on the design and implementation of spatial data modelingand application in the spatial data organization and management of a coalfield geologicalenvironment database.Based on analysis of a number of existing data models and takinginto account the unique data structure and characteristic, methodology and key techniquesin the object-oriented spatial data modeling were proposed for the coalfield geological environment.The model building process was developed using object-oriented technologyand the Unified Modeling Language (UML) on the platform of ESRI geodatabase datamodels.A case study of spatial data modeling in UML was presented with successful implementationin the spatial database of the coalfield geological environment.The modelbuilding and implementation provided an effective way of representing the complexity andspecificity of coalfield geological environment spatial data and an integrated managementof spatial and property data. 展开更多
关键词 spatial data model object-oriented Unified Modeling Language (UML) coal- field geological environment
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Spatial data mining system for ore-forming prediction 认领 引用 被引量:1
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作者 Man WANG Linfu XUE Yingwei WANG 《Global Geology》 2007年第1期100-104,共5页
The authors designed the spatial data mining system for ore-forming prediction based on the theory and methods of data mining as well as the technique of spatial database,in combination with the characteristics of geo... The authors designed the spatial data mining system for ore-forming prediction based on the theory and methods of data mining as well as the technique of spatial database,in combination with the characteristics of geological information data.The system consists of data management,data mining and knowledge discovery,knowledge representation.It can syncretize multi-source geosciences data effectively,such as geology,geochemistry,geophysics,RS.The system digitized geological information data as data layer files which consist of the two numerical values,to store these files in the system database.According to the combination of the characters of geological information,metallogenic prognosis was realized,as an example from some area in Heilongjiang Province.The prospect area of hydrothermal copper deposit was determined. 展开更多
关键词 ore-forming prediction spatial data mining multi-source geoscience data
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A Diachronic Perspective on the Use of French Spatial Data Infrastructures 认领 引用
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作者 Jade Georis-Creuseveau Christophe Claramunt +2 位作者 Francoise Gourmelon Bruno Pinaud Laurence David 《Journal of Geographic Information System》 2018年第4期344-361,共18页
Despite the recent development of many worldwide initiatives, there is still a need for the development of observation frameworks that will provide a comprehensive view of SDI’s use. Amongst the many challenges left,... Despite the recent development of many worldwide initiatives, there is still a need for the development of observation frameworks that will provide a comprehensive view of SDI’s use. Amongst the many challenges left, a thorough analysis of the information flows between existing SDIs as well as their respective uses and the way that those evolve over time is an important issue to explore. The research presented in this paper introduces a methodological framework oriented to the study of the SDIs use from a diachronic perspective. The approach is based on a Social Network Analysis (SNA) and questionnaires collected by online surveys. We develop a structural and diachronic analysis based on a series of graph-based measures identifying the main patterns that appear over time. The methodological framework is applied to a series of French SDIs and users involved in environmental management. The study identifies a series of structural differences in the data flows that emerge between the users and SDIs. Last, the diachronic network analysis provides an overall understanding on how data flows evolve over time at different institutional levels. 展开更多
关键词 Spatial Data Infrastructure User SDIs Use Social Network Analysis
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Spatial Data Application on Health (COVID-19) in Health Region 6 of Thailand 认领 引用
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作者 Somjate Laoluekiat Suthat Chottanapund +1 位作者 Sanwit Iabchoon Yodsawalai Chodpathumwan 《Open Journal of Applied Sciences》 2022年第8期1395-1401,共7页
Purpose: A geographic information system (GIS) in a combination with health data is very useful for disease monitoring, prevention and control. The new sciences of the combination of GIS and classical health data, nam... Purpose: A geographic information system (GIS) in a combination with health data is very useful for disease monitoring, prevention and control. The new sciences of the combination of GIS and classical health data, namely spatial epidemiology. Methods: Using the secondary health database (including COVID-19 data);data source is the 43 standard data folders of Thailand health statistic collected by Ministry of Public Health Thailand, collected between 2013 and 2022. The data of the Heath Region 6 of Thailand was used as an example. Twodata sets health data with spatial data Combined to new database and developed dashboard to present the information via web base system. Results: The dash board provides new perspective of disease distribution view. For example, the map on our dashboard reports the density of COVID-19 cases in each area. Based on the records, the densest areas shown are the urban area in each province. It can also be used for resource distribution and access time to health center of the area. Conclusion: The project reports the use of GIS and public health data to develop a dashboard for monitoring health resources and disease distributions in the health region 6 of Thailand. The major limitation of spatial epidemiology is the lack of or incomplete raw data input in the system. 展开更多
关键词 GIS COVID-19 Epidemiology Spatial Data Thailand
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Budgeted spatial data acquisition:when coverage and connectivity matter 认领 引用
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作者 Wenzhe YANG Shixun HUANG +1 位作者 Sheng WANG Zhiyong PENG 《Frontiers of Computer Science》 SCIE EI CAS CSCD 2026年第3期143-163,共21页
Data is undoubtedly becoming a commodity like oil,land,and labour in the 21st century.Although there have been many successful marketplaces for data trading,the existing data marketplaces lack consideration of the cas... Data is undoubtedly becoming a commodity like oil,land,and labour in the 21st century.Although there have been many successful marketplaces for data trading,the existing data marketplaces lack consideration of the case where buyers want to acquire a collection of datasets(instead of one),and the overall spatial coverage and connectivity matter.In this paper,we make the first attempt to formulate this problem as Budgeted Maximum Coverage with Connectivity Constraint(BMCC),which aims to acquire a dataset collection with the maximum spatial coverage under a limited budget while maintaining spatial connectivity.To solve the problem,we propose two approximate algorithms with detailed theoretical guarantees and time complexity analysis,followed by two acceleration strategies to further improve the efficiency of the algorithm.Experiments are conducted on five real-world spatial dataset collections to verify the efficiency and effectiveness of our algorithms. 展开更多
关键词 spatial data acquisition data marketplace budget spatial coverage spatial connectivity
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Scaling up the DBSCAN Algorithm for Clustering Large Spatial Databases Based on Sampling Technique 认领 引用 被引量:9
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作者 Guan Ji hong 1, Zhou Shui geng 2, Bian Fu ling 3, He Yan xiang 1 1. School of Computer, Wuhan University, Wuhan 430072, China 2.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China 3.College of Remote Sensin 《Wuhan University Journal of Natural Sciences》 EI CAS 2001年第Z1期467-473,共7页
Clustering, in data mining, is a useful technique for discovering interesting data distributions and patterns in the underlying data, and has many application fields, such as statistical data analysis, pattern recogni... Clustering, in data mining, is a useful technique for discovering interesting data distributions and patterns in the underlying data, and has many application fields, such as statistical data analysis, pattern recognition, image processing, and etc. We combine sampling technique with DBSCAN algorithm to cluster large spatial databases, and two sampling based DBSCAN (SDBSCAN) algorithms are developed. One algorithm introduces sampling technique inside DBSCAN, and the other uses sampling procedure outside DBSCAN. Experimental results demonstrate that our algorithms are effective and efficient in clustering large scale spatial databases. 展开更多
关键词 spatial databases data mining clustering sampling DBSCAN algorithm
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A solution of spatial query processing and query optimization for spatial databases 认领 引用
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作者 YUANJie XIEKun-qing +2 位作者 MAXiu-jun ZHANGMin SUNLe-bin 《重庆邮电学院学报(自然科学版)》 2004年第5期165-172,共8页
Recently, attention has been focused on spatial query language which is used to query spatial databases. A design of spatial query language has been presented in this paper by extending the standard relational databas... Recently, attention has been focused on spatial query language which is used to query spatial databases. A design of spatial query language has been presented in this paper by extending the standard relational database query language SQL. It recognizes the significantly different requirements of spatial data handling and overcomes the inherent problems of the application of conventional database query languages. This design is based on an extended spatial data model, including the spatial data types and the spatial operators on them. The processing and optimization of spatial queries have also been discussed in this design. In the end, an implementation of this design is given in a spatial query subsystem. 展开更多
关键词 空间数据库 询问语言 空间数据模型 空间操作 最优化
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Spatial data mining and visualization based on self-organizing map 认领 引用
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作者 LIU Shu-ying OUYANG Hong-ji PENG Fang 《通讯和计算机(中英文版)》 2008年第12期55-60,共6页
Based on the traditional spatial data analysis, a novel mode of spatial data mining and visualization is proposed which integrates the self-organizing map for the actual problem. Simulations for IRIS data show that th... Based on the traditional spatial data analysis, a novel mode of spatial data mining and visualization is proposed which integrates the self-organizing map for the actual problem. Simulations for IRIS data show that this method (computational and visual) can collaboratively discover complex pattems in large spatial datasets, in an effective and efficient way. 展开更多
关键词 空间数据分析 数据挖掘 可视化系统 分析方法
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Spatial Data Sharing on Grid 认领 引用
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作者 ALDUKALI Almselati 《Computer Aided Drafting,Design and Manufacturing》 2007年第2期43-48,共6页
The Internet technology has already changed the Information Society in profound ways, and will continue to do so. Nowadays many people foresee that there is a similar trajectory for the next generation of Internet - G... The Internet technology has already changed the Information Society in profound ways, and will continue to do so. Nowadays many people foresee that there is a similar trajectory for the next generation of Internet - Grid Technology. As an emerging computational and networking infrastructure, Grid Computing is designed to provide pervasive, uniform and reliable access to data, computational and human resources distributed in a dynamic, heterogeneous environment. On the other hand, the development of Geographic Information System (GIS) has been highly influenced by the evolution of information technology such as the Internet, telecommunications, software and various types of computing technology. In particular, in the distributed GIS domain, the development However, due to the closed and centralized has made significant impact in the past decade. legacy of the architecture and the lack of interoperability, modularity, and flexibility, current distributed GIS still cannot fully accommodate the distributed, dynamic, heterogeneous and speedy development in network and computing environments. Hence, the development of a high performance distributed GIS system is still a challenging task. So, the development of Grid computing technology undoubtedly provides a unique opportunity for distributed GIS, and a Grid Computing based GIS paradigm becomes inevitable. This paper proposes a new computing platform based distributed GIS framework - the Grid Geographic Information System (G^2IS). 展开更多
关键词 distributed GIS grid computing data sharing spatial information system distributed computing
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