共查询到20条相似文献，搜索用时 78 毫秒
1.
Barend Köbben Rolf De By Theodor Foerster Otto Huisman Rob Lemmens Javier Morales 《Transactions in GIS》2010,14(Z1):25-37
ITC, the Faculty of Geo–Information Science and Earth Observation of the University of Twente, is an institute that aims at capacity building and institutional development, specifically in developing countries. In our Geoinformatics curriculum, we emphasise two principles. The first addresses the systematics of purposeful spatial data production and uptake into computerised systems; the second addresses the methodical construction of these computerised systems, applying principles of model – driven architecture, formal specification and transformational design of SDI nodes. The term Spatial Data Infrastructure (SDI) usually denotes large, complex systems, but its principles can also be applied in simple and cost–effective ways. This approach we have called SDIlight and it is of particular interest to our students that come from developing countries. We work with and build a software stack consisting of free and open source components. To achieve interoperability, we emphasise the use of open standards from the Open Geospatial Consortium and others. In this paper, we explain how our students apply the SDIlight approach in the GeoinformaticsMaster degree course. An important part of that course is a Case Study Application Building & Programming, in which students apply their knowledge in a ‘real–world’ project, with a focus on geo–information engineering skills. We conclude with a section that evaluates the effectiveness of using the SDIlight concept in teaching our Geoinformatics Master, and on the more general applicability of the methodology. 相似文献
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以SDI领域用户为研究对象,分析了群体用户偏好与制图知识之间的关系,探讨了多领域用户偏好模型的定义、分类和获取途径,着重阐述了基于用户偏好模型的制图综合过程控制方法,通过实验,验证了本研究的可行性和有效性。 相似文献
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Erik H. Schmidt Budhendra L. Bhaduri Nicholas Nagle Bruce A. Ralston 《地理信息系统科学与遥感》2018,55(6):860-879
For many researchers, government agencies, and emergency responders, access to the geospatial data of US electric power infrastructure is invaluable for analysis, planning, and disaster recovery. Historically, however, access to high quality geospatial energy data has been limited to few agencies because of commercial licenses restrictions, and those resources which are widely accessible have been of poor quality, particularly with respect to reliability. Recent efforts to develop a highly reliable and publicly accessible alternative to the existing datasets were met with numerous challenges – not the least of which was filling the gaps in power transmission line voltage ratings. To address the line voltage rating problem, we developed and tested a basic methodology that fuses knowledge and techniques from power systems, geography, and machine learning domains. Specifically, we identified predictors of nominal voltage that could be extracted from aerial imagery and developed a tree-based classifier to classify nominal line voltage ratings. Overall, we found that line support height, support span, and conductor spacing are the best predictors of voltage ratings, and that the classifier built with these predictors had a reliable predictive accuracy (that is, within one voltage class for four out of the five classes sampled). We applied our approach to a study area in Minnesota. 相似文献
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数据仓库及其在城市规划决策支持系统中的应用探讨 总被引：5，自引：0，他引：5
谢榕 《武汉大学学报(信息科学版)》2000,25(2)
在分析传统决策支持系统在城市规划决策应用中存在的问题的基础上 ,初步提出一种基于数据仓库的城市规划决策支持系统的基本框架 ,探讨了该系统建立中数据仓库的数据组织、数据挖掘、知识发现方法等关键技术问题 ,并进一步阐述城市规划决策支持系统的建立方法 ,最后以荆州市环境规划为例 ,说明数据仓库在城市规划决策支持系统中的具体应用。 相似文献
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A growing number of services are now being offered over mobile devices. They typically combine positioning technology, wireless technology and spatial analysis methods applied to detailed geographical, time based data to offer services in support of time critical, spatial, mobile decision making. A collection of research issues need to be addressed in the successful delivery of such services that extend beyond issues of sophisticated network algorithms. Specifically, careful attention needs to be given to: (1) people and user environments; (2) access to networks; (3) policy, privacy and liability; (4) standards and interoperability; and (5) data quality. Spatial Data Infrastructure (SDI) is the collective term for these interconnected issues and has been a traditional area of research associated with geographic information science. In this paper the particular SDI requirements for the successful delivery of Location Based Services (LBS) are explored through the development of a prototype LBS for journey planning. The initial implementation and testing of this prototype has revealed that the SDI context is well suited as a framework within which to examine the related LBS issues. From a more technical perspective, the testing has revealed that data structure and the means by which large data sets are mined (in order to gather information to present to users) is critical to the success of timely information delivery over limited bandwidth media. 相似文献
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The Natura 2000 network of protected sites is one of the means to enable biodiversity conservation in Europe. EU member states have to undertake surveillance of habitats and species of community interest protected under the Habitat Directive. Remote sensing techniques have been applied successfully to monitor biodiversity aspects according to Natura 2000, but many challenges remain in assessing dynamics and habitat changes outside protected sites. Grasslands are among the most threatened habitats in Europe. In this paper we tested the integration of expert knowledge into different standard classification approaches to map grassland habitats in Schleswig Holstein, Germany. Knowledge about habitat features is represented as raster information layers, and used in subsequent grassland classifications. Overall classification accuracies were highest for the maximum likelihood and support vector machine approaches using RapidEye time series, but results improved for specific grassland classes when information layers were included in the classification process. 相似文献
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Semantic Enablement for Spatial Data Infrastructures 总被引：4，自引：0，他引：4
Krzysztof Janowicz Sven Schade Arne Bröring Carsten Keßler Patrick Maué Christoph Stasch 《Transactions in GIS》2010,14(2):111-129
Building on abstract reference models, the Open Geospatial Consortium (OGC) has established standards for storing, discovering, and processing geographical information. These standards act as a basis for the implementation of specific services and Spatial Data Infrastructures (SDI). Research on geo‐semantics plays an increasing role to support complex queries and retrieval across heterogeneous information sources, as well as for service orchestration, semantic translation, and on‐the‐fly integration. So far, this research targets individual solutions or focuses on the Semantic Web, leaving the integration into SDI aside. What is missing is a shared and transparent Semantic Enablement Layer for SDI which also integrates reasoning services known from the Semantic Web. Instead of developing new semantically enabled services from scratch, we propose to create profiles of existing services that implement a transparent mapping between the OGC and the Semantic Web world. Finally, we point out how to combine SDI with linked data. 相似文献
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This article proposes a concept for offering complex geoprocessing functionality in service‐based Spatial Data Infrastructures (SDI). Today, geoprocessing in SDI is typically realized in a data driven manner. Applying the suggested “moving code” approach in a case study in the field of Spatial Decision Support proves its applicability. The proposed solution is analyzed and assessed in terms of gained efficiency, performance behavior and support for distributed development of geoprocessing functionality. In data and computation intensive SDI applications the deployment of moving code proves to be beneficial. 相似文献
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《制图学和地理信息科学》2013,40(4):367-384
Virtual environments and related technology generate interest and excitement. Their power is strengthened with empirical evidence of their utility for scientific inquiry and decision-making. This paper reports on a study to evaluate the effectiveness of virtual environment (VE) presentations about issues typical of those facing decision makers in a rapidly growing urban area. The presentations consisted of the explanation and visualization of two phenomena—groundwater overdraft and the urban heat island. The virtual environment utilized in this study, Arizona State University's Decision Theater, is purported to help policy makers and the larger community visualize complex model output and make decisions about scientific issues. To begin to assess these claims, we carried out a user test during which a group of research participants were given two surveys, one before the presentations, to determine a priori understanding, and a second afterwards, with the same questions. This methodology allowed us to carry out within-subjects tests concerning contrasting phenomena, in order to assess two primary hypotheses: (1) knowledge and perceptions of environmental phenomena will change after the viewing, and (2) understanding will vary based on the phenomena in the presentations. Our analysis shows at least some level of support for the hypotheses, with evidence that the virtual environment positively influenced understanding, and that there may be important differences in insight generation based on characteristics of the phenomena represented. Finally, we outline critical areas of future research to further knowledge about the impact of visual VE settings on understanding and decision making. 相似文献
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Dimitrios Triantakonstantis Poulicos Prastacos Aikaterini Tsoukala 《Journal of the Indian Society of Remote Sensing》2014,42(3):601-610
Analysis of urban sprawl is an issue that has been continuously attracting attention in the planning and research community. Τhis paper presents the results of an analysis of the growth of the city of Rethymno during the 1997–2010 time period. Rethymno is a city in the island of Crete in Greece with population of about 35,000 people, in which developed land has expanded at a rate that is double the growth of the population during the study period. A qualitative analysis was first performed to identify growth patterns in the different parts of the city, how these are related to planning regulations and the extent of cohesiveness of the development. A logistic regression model was estimated using various variables influencing the expansion of the built up area. Variables such as slope, distance from main roads, distance from the University, distance from coastline, as well as variables describing the proximity to other developed areas were used as independent variables in the logistic regressions. Planning constraints with respect zoning were also considered. The accuracy/goodness of fit of the simulation results were also tested using Receiver Operating Characteristic (ROC) curve. The results revealed high (performance) accuracy, which can support the applicability of the proposed method in urban sprawl modeling. Once the equations were estimated they were applied using data from 2010 to identify future trends of urbanization. The methodology adopted in this study can result in a tool that can be of use to urban planning authorities in identifying areas of future urban growth and therefore, adopt zoning policies encouraging or discouraging growth in these areas according to the sustainability objectives of the local community. 相似文献
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Silvania Avelar Rainer Zah Carlos Tavares-Corrêa 《International Journal of Applied Earth Observation and Geoinformation》2009
The spatial differentiation of socioeconomic classes in a city can deliver insight into the nexus of urban development and the environment. The purpose of this paper is to identify poor and rich regions in large cities according to the predominant physical characteristics of the regions. Meaningful spatial information from urban systems can be derived using remote sensing and GIS tools, especially in large difficult-to-manage cities where the dynamics of development results in rapid changes to urban patterns. We use here very high resolution imagery data for the identification of homogeneous socioeconomic zones in a city. We formulate the categorization task as a GIS analysis of an image classified with conventional techniques. Experiments are conducted using a QuickBird image of a study area in Lima, Peru. We provide accuracy assessment of results compared to ground truth data. Results show an approximated allocation of socioeconomic zones within Lima. The methodology described could also be applied to other urban centers, particularly large cities of Latin America, which have characteristics similar to those of the study area. 相似文献
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It is generally acknowledged that immovable property taxes are one of the main revenue sources for local government. The literature emphasizes that the administration of property taxes needs well-developed inventories or registers that provide complete and accurate records of the taxed properties and their legal-economic attributes. This requirement is generally fulfilled by Spatial Data Infrastructures (SDIs) in which the coordinate exchange and sharing of geo-spatial data is provided by separate registers/information systems such as: cadastral systems, building and address registers. Recently, the Open Geospatial Consortium presented a core component of a 3D SDI in the form of an international domain standard for representing, storing and exchanging 3D city models. The CityGML allows the semantic and 3D geometrical representation of physical objects but does not deal with the legal and administrative aspects of the city objects which are required for the process of property taxation. This paper outlines the development of an Application Domain Extension (ADE) for the immovable property taxation domain that expands the CityGML data model with the legal and administrative concepts defined in Turkish Law. The study shows that this ADE could be a 3D national data model for municipal information systems and facilitate a more efficient taxation process, as well as providing data for urban planning, facility management and other municipal services. 相似文献
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The development of the National Aeronautics and Space Administration's Large Format Camera has added a new dimension to remote sensing. Offering inexpensive large area coverage imagery with excellent geometric fidelity, the LFC was successfully flown in late 1984 aboard the Space Shuttle. The success of this initial flight has encouraged scientists to propose that the LFC be included as part of the earth observation sensor bed on the planned space station. The relatively low costs associated with LFC photography provide an opportunity for developing countries to learn more about the capabilities and advantages of exploiting remotely sensed imagery. In particular, by using LFC imagery to study an array of local and global phenomena, these developing countries can quickly increase their knowledge of earth observation techniques and join the “community”; of nations currently active in remote sensing efforts. 相似文献
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Historical maps are effective sources of geographical information and useful for historical and territorial research. In this study, the examination of landscape dynamics on the basis of historical maps over a period of more than 200 years was conducted. The study area is Sorrento peninsula and part of the near Sarno river basin in South Italy. This study provides a general framework for the assessment of the overall quality and accuracy of historical maps. The application of the methodology used in this specific case study can contribute to a better understanding of the dynamics of the landscape in the long term. The derived knowledge can be applied in the planning of the landscape in order to implement correct conservation strategies. The comparison was made on four maps 1817, 1875, 1960, and 2006. Geodetic accuracy of the sheet maps of 1817 and 1875 offer a right basis for a macro analysis of land cover dynamics, evaluating conversion from one land cover category to another. Main transformation, identified in the period between 1875 and 1960, was the disappearance of vineyards, which covered 25% of the total study area in 1875. Agricultural areas increased in this period to cover 57% of the total area. 相似文献
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Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? 总被引：1，自引：0，他引：1
《International Journal of Digital Earth》2013,6(4):305-329
Abstract The geospatial sciences face grand information technology (IT) challenges in the twenty-first century: data intensity, computing intensity, concurrent access intensity and spatiotemporal intensity. These challenges require the readiness of a computing infrastructure that can: (1) better support discovery, access and utilization of data and data processing so as to relieve scientists and engineers of IT tasks and focus on scientific discoveries; (2) provide real-time IT resources to enable real-time applications, such as emergency response; (3) deal with access spikes; and (4) provide more reliable and scalable service for massive numbers of concurrent users to advance public knowledge. The emergence of cloud computing provides a potential solution with an elastic, on-demand computing platform to integrate – observation systems, parameter extracting algorithms, phenomena simulations, analytical visualization and decision support, and to provide social impact and user feedback – the essential elements of the geospatial sciences. We discuss the utilization of cloud computing to support the intensities of geospatial sciences by reporting from our investigations on how cloud computing could enable the geospatial sciences and how spatiotemporal principles, the kernel of the geospatial sciences, could be utilized to ensure the benefits of cloud computing. Four research examples are presented to analyze how to: (1) search, access and utilize geospatial data; (2) configure computing infrastructure to enable the computability of intensive simulation models; (3) disseminate and utilize research results for massive numbers of concurrent users; and (4) adopt spatiotemporal principles to support spatiotemporal intensive applications. The paper concludes with a discussion of opportunities and challenges for spatial cloud computing (SCC). 相似文献
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《制图学和地理信息科学》2013,40(1):43-52
The recognition that local participation is a critical goal of development has contributed to the popularity in a set of techniques designed to increase local participation and knowledge in planning processes. Identified as participatory rural appraisal (PRA), this trend is marked by the use of a variety of high-end technologies, including geographic information systems (GIS). An interesting and related trend has come from members of the GIS community who argue that a "participatory GIS" is required to ensure local knowledge and participation in a variety of planning initiatives. This synergy of interests has resulted in a growth of research in the developing world that attempts to merge PRA methods with GIS tools. This paper examines the separate, but increasingly complementary, traditions of PRA and GIS. Ten case studies that combine participatory methods with GIS in Latin America, Africa, and Asia are evaluated to consider how these traditions are being applied by communities to protect ownership of territory, present local knowledge of natural resources, and to engage in long-term planning. This paper suggests that although GIS has the potential to increase participation in planning processes, a commonality of the majority of case studies is limited attention to the participatory process itself. It would address how access to information and GIS tools varies within communities, as well as the effectiveness of a participatory GIS in shaping policy outcomes. Although participation can be advanced through the use of GIS, this paper concludes by suggesting that research on the availability of these tools should not serve as a substitute for critical analyses of their use and effectiveness by local communities. 相似文献
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《International Journal of Digital Earth》2013,6(10):1070-1076
ABSTRACTIn this opinion paper, we, a group of scientists from environmental-, geo-, ocean- and information science, argue visual data exploration should become a common analytics approach in Earth system science due to its potential for analysis and interpretation of large and complex spatio-temporal data. We discuss the challenges that appear such as synthesis of heterogeneous data from various sources, reducing the amount of information and facilitating multidisciplinary, collaborative research. We argue that to fully exploit the potential of visual data exploration, several bottlenecks and challenges have to be addressed: providing an efficient data management and an integrated modular workflow, developing and applying suitable visual exploration concepts and methods with the help of effective and tailored tools as well as generating and raising the awareness of visual data exploration and education. We are convinced visual data exploration is worth the effort since it significantly facilitates insight into environmental data and derivation of knowledge from it. 相似文献