首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   15篇
  免费   0篇
  国内免费   1篇
测绘学   13篇
地质学   1篇
海洋学   1篇
自然地理   1篇
  2021年   1篇
  2020年   1篇
  2019年   1篇
  2013年   8篇
  2012年   2篇
  2007年   1篇
  2003年   1篇
  1996年   1篇
排序方式: 共有16条查询结果,搜索用时 453 毫秒
1.
Geoinformatics is a comparatively new interdisciplinary science and as a part of space informatics uses methods and terminology of informatics and many natural sciences. An ontology of geoinformatics is discussed in the paper, especially concerning its structure, relationships with other ontologies, resources for development and utilization. The ontology of geoinformatics is a kind of domain ontology and has a layered structure consisting of syntactic and semantic layers. The corpus of this ontology is an existing multilingual dictionary of geographical information systems (GIS) enriched with terminology from other external sources. The building of the ontology is preceded by the development of a taxonomy and thesaurus of geoinformatics. The thesaurus database is converted into an OWL ontology by a Visual Basic application. The reusing of the ontology is proposed by its transformation in application ontologies for geoinformatics education.  相似文献   
2.
2011-2012测绘学科发展研究综合报告(上)   总被引:2,自引:0,他引:2  
本报告简要回顾了我国当代测绘科学技术从数字化测绘向信息化测绘过渡,并与当今世界新出现的地理空间信息学相互融合和渗透形成测绘与地理空间信息学这一新兴学科的历程,结合测绘学科的几个分支学科阐述了2011年-2012年测绘与地理空间信息的空间基准、获取技术、处理方法、服务方式和应用领域等几方面的主要进展。  相似文献   
3.
ABSTRACT

In 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   
4.
The paper gives an overview of the current status of education in geoinformatics in China. First, the paper provides a brief introduction to the history of geoinformatics education in China and a general review of the scientific and technological development. It then presents how the development affects the education and training in China. In the paper, universities and institutes in China that can award academic degrees related to geoinformatics are summarized, and undergraduate majors are briefly introduced. Next, the paper reports the work having been done by the national expert group on Surveying and Mapping, including the revision of discipline catalog and guide for graduate education and requirements. A list of typical curricula in geoinformatics education is suggested. Activities on promoting the graduate student exchange platform are presented. Finally, a case study of geoinformatics education in Wuhan University is discussed.  相似文献   
5.
Abstract

This paper discusses the role of Geoinformatics as a new scientific discipline designed for handling of geospatial information. Depending on the scientific background of the people involved in shaping the emerging discipline, emphasis may be placed on different aspects of Geoinformatics. Applications and developments may address geoscientific, spatial planning, or computer science related matters. The scientific field of Geoinformatics encompasses the acquisition and storing of geospatial data, the modelling and presentation of spatial information, geoscientific analyses and spatial planning, and the development of algorithms and geospatial database systems. It is the position of the author that these tools from Geoinformatics are necessary to bridge the gap between Digital Earth models and the real world with its real-world problems (‘connecting through location’). It is, however, crucial that Geoinformatics represents a coherent integrated approach to the acquisition, storage, analysis, modeling, presentation, and dissemination of geo-processes and not a patchwork solution of unconnected fields of activity. Geoinformatics is as such not a part of Geography, Surveying, or Computer Science, but a new self-contained scientific discipline. The current paper highlights international and national trends of the discipline and presents a number of Geoinformatics initiatives. The research and teaching activities of the newly formed Institute for Geoinformatics and Remote Sensing (IGF) at the University of Osnabrueck serve as an example for these initiatives. All these developments have lead to the long overdue formation of a scientific ‘Society for Geoinformatics’ (German: Gesellschaft für Geoinformatik – GfGI) in Germany.  相似文献   
6.
In this paper, we present the service-oriented infrastructure within the Wide Area Grid project that was carried out within the Working Group on Information Systems and Services of the Committee on Earth Observation Satellites. The developed infrastructure integrates services and computational resources of several regional and national Grid systems: Ukrainian Academician Grid (with satellite data processing Grid segment, UASpaceGrid) and Grid system at the Center on Earth Observation and Digital Earth of Chinese Academy of Sciences. The study focuses on integrating geo-information services on flood mapping provided by Ukrainian and Chinese entities to benefit from information acquired from multiple sources. We also describe services for workflow automation and management in Grid environment and provide an example of workflow automation for generating flood maps from optical and synthetic-aperture radar satellite imagery. We also discuss issues of enabling trust for the infrastructure using certificates and reputation-based model. Applications of utilizing the developed infrastructure for operational flood mapping in Ukraine and China are given as well.  相似文献   
7.
Security has recently become a major concern in distributed geo-infrastructures for spatial data provision. Thus, a lightweight approach for securing distributed low-power environments such as geo-sensor networks is needed. The first part of this article presents a survey of current security mechanisms for authentication and authorisation. Based on this survey, a lightweight and scalable token-based security infrastructure was developed, which is tailored for use in distributed geo-web service infrastructures. The developed security framework comprises dedicated components for authentication, rule-based authorisation and optimised storage and administration of access rules. For validation purposes, a prototypical implementation of the approach has been created.  相似文献   
8.
2011-2012测绘学科发展研究综合报告(下)   总被引:2,自引:0,他引:2  
本报告简要回顾了我国当代测绘科学技术从数字化测绘向信息化测绘过渡,并与当今世界新出现的地理空间信息学相互融合和渗透形成测绘与地理空间信息学这一新兴学科的历程,结合测绘学科的几个分支学科阐述了2011-2012年测绘与地理空间信息的空间基准、获取技术、处理方法、服务方式和应用领域等几方面的主要进展。  相似文献   
9.
大数据与地质学的未来发展   总被引:3,自引:0,他引:3  
吴冲龙  刘刚 《地质通报》2019,38(7):1081-1088
地质学定量化是地质学自身发展臻于成熟的重要标志。地质学家们经过长期艰难的探索和尝试,扫清了许多障碍并取得了令人瞩目的进展,但并未越过定性描述和不确定性门槛。在人类进入信息化和大数据时代的今天,地质学家们发现并找到了越过定量化之门的捷径。在以大数据和数据密集型计算为基础的第四范式支配下,地质学家有可能突破各种主客观因素的限制,使地质学进入更全面的定量化发展阶段,并取得地质科学原理和规律方面的新发现。换言之,在地质信息学的引领和支撑下,地质学将在新世纪得到快速发展。地质学家需要逐步建立与第四范式相适应的新地质科学观,即以查找和揭示隐藏于大数据中的多种地质要素关联关系为主要目标,然后在此基础上追究成因关系。  相似文献   
10.
ABSTRACT

Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. From the aspects of a general introduction, sources, challenges, technology status and research opportunities, the following observations are offered: (i) cloud computing and Big Data enable science discoveries and application developments; (ii) cloud computing provides major solutions for Big Data; (iii) Big Data, spatiotemporal thinking and various application domains drive the advancement of cloud computing and relevant technologies with new requirements; (iv) intrinsic spatiotemporal principles of Big Data and geospatial sciences provide the source for finding technical and theoretical solutions to optimize cloud computing and processing Big Data; (v) open availability of Big Data and processing capability pose social challenges of geospatial significance and (vi) a weave of innovations is transforming Big Data into geospatial research, engineering and business values. This review introduces future innovations and a research agenda for cloud computing supporting the transformation of the volume, velocity, variety and veracity into values of Big Data for local to global digital earth science and applications.  相似文献   
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号