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空间地理数据由于内容和来源的差异导致数据之间转换十分困难,而基于不同空间数据模型、不同软件平台的数据,由于通常都具有各自的数据标准和数据格式,并且软件平台相对独立而封闭,因此,也无法直接进行系统之间的数据共享。本文对GML的空间信息表达和时空拓扑分析进行研究,将GML技术与时空表达相融合,并以地籍信息管理为例,将GML应用在地籍数据建模上,对于数据的交换与传输、共享与集成都是一种新的尝试。 相似文献
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Seung-Hyun Jeong Norman W. Paton Alvaro A. A. Fernandes Tony Griffiths 《Transactions in GIS》2005,9(2):129-156
Many applications capture, or make use of, spatial data that changes over time. This requirement for effective and efficient spatio‐temporal data management has given rise to a range of research activities relating to spatio‐temporal data management. Such work has sought to understand, for example, the requirements of different categories of application, and the modelling facilities that are most effective for these applications. However, at present, there are few systems with fully integrated support for spatio‐temporal data, and thus developers must often construct custom solutions for their applications. Developers of both bespoke solutions and of generic spatio‐temporal platforms will often need to support the fusion of large spatio‐temporal data sets. Supporting such requests in a database setting involves the use of join operations with both spatial and temporal conditions – spatio‐temporal joins. However, there has been little work to date on spatio‐temporal join algorithms or their evaluation. This paper presents an evaluation of several approaches to the implementation of spatio‐temporal joins that build upon widely available indexing techniques. The evaluation explores how several algorithms perform for databases with different spatial and temporal characteristics, with a view to helping developers of generic infrastructures or custom solutions in the selection and development of appropriate spatio‐temporal join strategies. 相似文献
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GML空间数据查询与索引机制研究 总被引：9，自引：0，他引：9
由于传统GIS数据模型的差异，导致空间数据难以集成与共享。各GIS软件厂商及第三方软件厂商提出了利用空间数据转换的解决方案，但是它还是不能很好地解决空间数据集成与共享存在的问题。地理标记语言GML的出现，为GIS空间数据建模、集成与共享提供了统一的标准与框架。GML已经成为事实上的空间数据编码、传输、存储和发布的国际标准，大量GML格式的空间数据开始涌现。如何有效地存储管理GML空间数据，已经成为GIS研究的热点问题。本文结合XML数据库技术和传统的空间数据库技术，对GML空间数据的查询、索引进行了深入的研究。以XML标准查询语言XQuery为基础，提出了XQuery空间扩展的内容，开发了GML空间数据查询语言，实现了GML空间数据的本原查询；结合XML文档编码和传统的空间数据索引，提出了基于空间索引的GML一体化索引机制，并以R树索引为例，对一体化索引的查询处理性能进行了实验分析。实验结果表明，本文提出的基于空间索引的GML一体化索引机制是可行的、高效的。 相似文献
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本文就目前空间数据集成的两种主流模式,在论证了各模式的优缺点的基础上,得出了用GML作为地理空间数据转换及传输的标准是切实可行、具有应用前景的方案。从而提出了基于GML的多源异构空间数据集成的模型,并探讨了基于这一模型实现空间数据共享的若干问题。 相似文献
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广泛运用Web和分布式地理信息系统(WGIS/DGIS)有利于共享的空间数据库组织之间和用户通过互连网进行数据交换。不过,这些系统和应用软件的互操作性仍然是一个不能解决的问题,直到最近出版的地理标记语言(GML)标准的出现,这一问题才得到了解决。GML是一个新的实施规范并提供中立的框架为定义地理空间应用模式和对象的可扩展标记语言(XML)的文档。XML迅速成为一个事实上的标准电子数据交换之间的Web应用程序,然而,传统的数据库查询语言,在其目前的形式下并不适合直接查询和更新XML库。由W3C提出的XQuery查询语言为XML提供了强大的查询功能,但它缺乏支持空间查询,本文主要研究具有空间查询的语言GML-QL。 相似文献
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Konstantin Greger 《Transactions in GIS》2015,19(1):129-150
Detailed population information is crucial for the micro‐scale modeling and analysis of human behavior in urban areas. Since it is not available on the basis of individual persons, it has become necessary to derive data from aggregated census data. A variety of approaches have been published in the past, yet they are not entirely suitable for use in the micro‐scale context of highly urbanized areas, due mainly to their broad spatial scale and missing temporal scale. Here we introduce an enhanced approach for the spatio‐temporal estimation of building populations in highly urbanized areas. It builds upon other estimation methodologies, but extends them by introducing multiple usage categories and the temporal dimension. This allows for a more realistic representation of human activities in highly urbanized areas and the fact that populations change over time as a result of these activities. The model makes use of a variety of micro‐scale data sets to operationalize the activities and their spatio‐temporal representations. The outcome of the model provides estimated population figures for all buildings at each time step and thereby reveals spatio‐temporal behavior patterns. It can be used in a variety of applications concerning the implications of human behavior in urban areas. 相似文献
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VGDI – Advancing the Concept: Volunteered Geo‐Dynamic Information and its Benefits for Population Dynamics Modeling 
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下载免费PDF全文 Christoph Aubrecht Dilek Özceylan Aubrecht Joachim Ungar Sérgio Freire Klaus Steinnocher 《Transactions in GIS》2017,21(2):253-276
The concept of Volunteered Geographic Information (VGI) has progressed from being an exotic prospect to making a profound impact on GIScience and geography in general, as initially anticipated. However, while massive and manifold data is continuously produced voluntarily and applications are built for information and knowledge extraction, the initially introduced concept of VGI lacks certain methodological perspectives in this regard which have not been fully elaborated. In this article we highlight and discuss an important gap in this concept, i.e. the lack of formal acknowledgment of temporal aspects. By coining the proposed advanced framework ‘Volunteered Geo‐Dynamic Information’ (VGDI), we attempt to lay the ground for full conceptual and applied spatio‐temporal integration. To illustrate that integrative approach of VGDI and its benefits, we describe the potential impact on the field of dynamic population distribution modeling. While traditional approaches in that domain rely on survey‐based data and statistics as well as static geographic information, the use of VGDI enables a dynamic setup. Foursquare venue and user check‐in data are presented for a test site in Lisbon, Portugal. Two core modules of spatio‐temporal population assessment are thereby addressed, namely time use profiling and target zone characterization, motivated by the potential integration in existing population dynamics frameworks such as the DynaPop model. 相似文献
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Yan Shi Min Deng Jianya Gong Chang‐Tien Lu Xuexi Yang Huimin Liu 《Transactions in GIS》2019,23(2):312-333
Spatio‐temporal clustering is a highly active research topic and a challenging issue in spatio‐temporal data mining. Many spatio‐temporal clustering methods have been designed for geo‐referenced time series. Under some special circumstances, such as monitoring traffic flow on roads, existing methods cannot handle the temporally dynamic and spatially heterogeneous correlations among road segments when detecting clusters. Therefore, this article develops a spatio‐temporal flow‐based approach to detect clusters in traffic networks. First, a spatio‐temporal flow process is modeled by combining network topology relations with real‐time traffic status. On this basis, spatio‐temporal neighborhoods are captured by considering traffic time‐series similarity in spatio‐temporal flows. Spatio‐temporal clusters are further formed by successive connection of spatio‐temporal neighbors. Experiments on traffic time series of central London's road network on both weekdays and weekends are performed to demonstrate the effectiveness and practicality of the proposed method. 相似文献
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基于Web服务和GML的空间数据发布 总被引：4，自引：0，他引：4
针对当前信息共享存在的问题,提出Web服务和GML解决问题的思路,并讨论在基于Web服务和GML的空间数据发布中采用的关键技术。 相似文献
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Spatio‐temporal prediction and forecasting of land surface temperature (LST) are relevant. However, several factors limit their usage, such as missing pixels, line drops, and cloud cover in satellite images. Being measured close to the Earth's surface, LST is mainly influenced by the land use/land cover (LULC) distribution of the terrain. This article presents a spatio‐temporal interpolation method which semantically models LULC information for the analysis of LST. The proposed spatio‐temporal semantic kriging (ST‐SemK) approach is presented in two variants: non‐separable ST‐SemK (ST‐SemKNSep) and separable ST‐SemK (ST‐SemKSep). Empirical studies have been carried out with derived Landsat 7 ETM+ satellite images of LST for two spatial regions: Kolkata, India and Dallas, Texas, U.S. It has been observed that semantically enhanced spatio‐temporal modeling by ST‐SemK yields more accurate prediction results than spatio‐temporal ordinary kriging and other existing methods. 相似文献
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Mining Association Rules in Spatio-Temporal Data: An Analysis of Urban Socioeconomic and Land Cover Change 总被引：8，自引：0，他引：8
This research demonstrates the application of association rule mining to spatio‐temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A→B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio‐temporal association rule occurs when there is a spatio‐temporal relationship in the antecedent or consequent of the rule. As a case study, association rule mining is used to explore the spatial and temporal relationships among a set of variables that characterize socioeconomic and land cover change in the Denver, Colorado, USA region from 1970–1990. Geographic Information Systems (GIS)‐based data pre‐processing is used to integrate diverse data sets, extract spatio‐temporal relationships, classify numeric data into ordinal categories, and encode spatio‐temporal relationship data in tabular format for use by conventional (non‐spatio‐temporal) association rule mining software. Multiple level association rule mining is supported by the development of a hierarchical classification scheme (concept hierarchy) for each variable. Further research in spatio‐temporal association rule mining should address issues of data integration, data classification, the representation and calculation of spatial relationships, and strategies for finding ‘interesting’ rules. 相似文献
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Use of a Three-Domain Repesentation to Enhance GIS Support for Complex Spatiotemporal Queries 总被引：1，自引：0，他引：1
May Yuan 《Transactions in GIS》1999,3(2):137-159
As the development of Geographic Information Systems (GIS) proceeds to advanced scientific and societal applications, there is an emerging need to enhance GIS support for complex spatiotemporal queries. Dynamic GIS representations (as opposed to static, map-based representations) that can integrate proper data elements in the production of geographic information are required. This paper demonstrates the use of a three-domain representation that facilitates compilation of higher-level information (such as frequency and rate) from preliminary data records (such as time and location) stored in a database. The three-domain representation is compared with snapshot, space-time composite, and spatiotemporal object models using a sample data set for forest transitions. While the three-domain representation is a normalization of these data models, it offers a conceptual alternative that enables GIS to represent spatiotemporal behaviors of geographic entities, in addition to entities as well as histories at locations as emphasized in most GIS data models. The comparison shows that the three-domain representation has combined the strengths of the space-time composite and spatiotemporal object models. Moreover, it enables aggregations of analytical use along with dynamic mappings between geographic concepts and locations, a distinct capability that takes GIS query processing beyond the level of information support offered by static map-based data models. 相似文献
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土地利用动态监测中的时空数据模型研究 总被引：16，自引：0，他引：16
针对传统GIS数据模型存在的问题,开展了基于特征的时空数据模型研究.结合我国土地利用动态监测,提出了一个新的时空数据模型-基于变化特征状态的时空数据模型(SCFSTDM),该模型保持了地理现象的完整性,地理信息的完备性以及时空专题信息的有机集成,模型有利于面向目标定向分析方法的应用和时空分析与推理的实现,有利于地理数据的共享,设计和开发了基于SCFSTDM的时态土地利用信息系统,实现了基于特征实例的时空复合查询,时空推理以及动态播放等功能. 相似文献
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基于GML和SVG的电子导游系统的设计与实现 总被引：1，自引：0，他引：1
信息技术、移动计算设备以及WebGIS的发展为电子导游系统的设计与实现带来了新的思路和方法。但是WebGIS在数据组织、数据共享和矢量图形显示等方面还存在问题,在WebGIS中应用SVG和GML技术和规范在一定程度可以解决这些问题。基于GML和SVG的电子导游系统采用包含终端层、应用服务层和数据服务层的B/S结构,另外,为了使系统具备良好交互性,实现中采用了多通道交互模式。通过实例研究发现系统具有运行效率高、交互性强、开发定制灵活等优点。 相似文献
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目前GIS软件的种类繁多,数据格式极不统一,行业间GIS数据格式差异相当大,造成了重复建库、浪费资源、数据难以维护的局面。鉴于以上现状,本文提出了一种基于Web Service、GML技术的分布式异构多级空间数据转换的解决方案,旨在实现不同类型、不同存放介质GIS数据之间无损失的数据共享。提供给用户的使用程序逻辑概念清楚,操作简单,部署方便。 相似文献
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GML标准被视为空间数据集成和有效地解决异构数据共享的关键技术之一,但对其空间数据转换的无损性尚未能给予高度地重视。本文在分析了GML标准特点的基础上,以E00格式向GML标准转换为例,试图通过对两种数据结构的深入剖析,给出了GML3.1的数据转换模型。文章还对E00到GML3.1的点、线、多边形、投影、Tic、注记、拓扑的转换进行了转换结果的无损性讨论,分别从数据精度和数据段数量统计角度进行比较分析。实验证明,本文提供的数据转换方法具有空间信息转换无损特性,在转换的精度和转换的内容上都保持了不变,能够满足基于GML的多源异构空间数据转换的要求。 相似文献
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Felicia Akinyemi 《Transactions in GIS》2010,14(Z1):85-100
GIS is increasingly used in poverty mapping but there is no generic data model for database development. Examples exist already of industry‐specific models. Having such a data model eases the complexity of incorporating spatial data in poverty assessments. This article raises awareness about the need for a generic poverty data model for use in poverty mapping. It seeks to stimulate a lively debate that will lead to the development and adoption of such a data model. The ultimate goal will be to get to some level of standardization for common data types that would facilitate spatial data use in poverty assessment and sharing among poverty projects. This article is a first step at developing a data model for poverty mapping at a conceptual level. Handling multidimensional social problems, such as poverty, using a spatial framework can be challenging because of the myriad of poverty indicators in use. Employing the entity‐relationship approach, a conceptual model is developed in the current article that identifies the key thematic layers, entities, and relationships. The conceptual model produced is useful for modeling the content of the database for use in assessing and monitoring poverty. 相似文献
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Cumulative spatial impact layers: A novel multivariate spatio‐temporal analytical summarization tool
Lucy Romeo Jake Nelson Patrick Wingo Jennifer Bauer Devin Justman Kelly Rose 《Transactions in GIS》2019,23(5):908-936
Scientific inquiry often requires analysis of multiple spatio‐temporal datasets, ranging in type and size, using complex multi‐step processes demanding an understanding of GIS theory and software. Cumulative spatial impact layers (CSIL) is a GIS‐based tool that summarizes spatio‐temporal datasets based on overlapping features and attributes. Leveraging a recursive quadtree method, and applying multiple additive frameworks, the CSIL tool allows users to analyze raster and vector datasets by calculating data, record, or attribute density. Providing an efficient and robust method for summarizing disparate, multi‐format, multi‐source geospatial data, CSIL addresses the need for a new integration approach and resulting geospatial product. The built‐in flexibility of the CSIL tool allows users to answer a range of spatially driven questions. Example applications are provided in this article to illustrate the versatility and variety of uses for this CSIL tool and method. Use cases include addressing regulatory decision‐making needs, economic modeling, and resource management. Performance reviews for each use case are also presented, demonstrating how CSIL provides a more efficient and robust approach to assess a range of multivariate spatial data for a variety of uses. 相似文献