排序方式： 共有17条查询结果，搜索用时 234 毫秒
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人地系统主题数据库以人口、资源、环境和社会发展为核心，服务于人地系统基础研究、社会经济可持续
发展和国家战略需求。主题库由自然资源及其开发利用、环境灾害及其治理、人口与劳动力、社会发展、地理背景、
遥感及地表参数、典型示范区及全球数据等八大类，共32 个子库构成，数据资源总量8.8TB 左右。主题数据库共享服
务平台由一个主节点和3 个分节点组成，除具有一般数据库服务系统所具有的数据检索、查询、下载等基本功能外，还
具有属性数据可视化、数据在线分析、区域可持续发展评价等特色功能。在建设和运行期间，主题数据库为国家和区
域资源开发，环境保护，可持续发展研究、分析、评价与决策，国土资源规划，生态系统过程监测与调控等领域提供
了大量的数据服务。 相似文献
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本文通过对深圳文献港近三年来文献传递的基本数据进行统计，并进一步对文献来源库进行可视化分析，以对其今后的发展提出进一步的建议。 相似文献
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以项目研究实践为基础，对在线专利分析软件研发过程中涉及的数据库检索与分析的优化和可视化等关键技术进行方案设计，并对软件系统进行具体实现，对系统运行的效果进行分析和展示。 相似文献
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Data science is a rapidly growing field with applications across all scientific domains. The demand for support in data science literacy is outpacing available resources at college campuses. The academic library is uniquely positioned to provide training and guidance in a number of areas relevant to data science. The University of Arizona Libraries has built a successful data science support program, focusing on computational literacy, geographic information systems, and reproducible science. Success of the program has largely been due to the strength of library personnel and strategic partnerships with units outside of the library. Academic libraries can support campus data science needs through professional development of current staff and recruitment of new personnel with expertise in data-intensive domains. 相似文献
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[目的/意义]目前,关联数据领域的研究正从如何生产数据向如何消费数据的方向转变,可视化已成为该领域研究的新热点。通过关联数据可视化可以在有限的空间(如一张图)传达无限的信息,更直观地展示数据之间的内在联系,利于信息的发现。[方法/过程]针对关联数据系统中实际产生的实例数据和本体结构这两类RDF数据,分别介绍一些适用于这两类数据形式的可视化技术和实现方法,并引用实际开发和研究中的成功案例进行阐述。[结果/结论]本文所提到的可视化实现方法具有一定的通用性,可以为其他关联数据应用系统的可视化提供指导和借鉴。 相似文献
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Brady D. Lund 《Public Services Quarterly》2020,16(2):112-123
AbstractThis article discusses the use of R programing language for executing a sentiment analysis of tweets pertaining to library topics. This discussion is situated within the literature of marketing and management sciences, which is employing methods of machine learning and business intelligence to make informed decision-making, and library administration, which has expressed great interest in social media engagement within its literature but has yet to adopt these types of analysis. Presented in this article is a sample code with instructions on how users may execute it within R to retrieve and analyze tweets relevant to library services. Two examples created using the code (analysis of top librarians’ tweets and analysis of posts about major book publishers) are used to demonstrate the functionality of the code. The code presented in this article may be used by libraries to analyze tweets about their library and library-related topics, which, in turn, may inform management and marketing design. 相似文献
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A. Miller 《Journal of Web Librarianship》2019,13(2):127-155
The emerging creative practices of digital collections are increasing in prominence thanks to the access to, and appeal of, data visualizations. Interactive data visualizations, such as a map, timeline, chart, graph, or artist’s rendering of data, enable users to pursue their own research interests within a collection and participate in new areas of research. Use of these data visualizations enhances the scope of the collection and enables a modern and diverse thematic collection to emerge. This article considers the question: Does the addition of data visualizations affect how users participate with a research collection? Impacts on collection development, application of user-centered design, and analysis of users’ exploratory strategies are discussed. Examples of data visualizations used in digital humanities projects and digital collections are presented as case studies. 相似文献
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Michelle Malizia Catalano Porcia Vaughn Joshua Been 《Medical reference services quarterly》2017,36(4):415-422
Data play a crucial role in health research, education, and patient care. Initiatives such as Big Data to Knowledge (BD2K) and Precision Medicine point to the increasing focus and value of data use and reuse. As the universe of data continues to grow exponentially, health education needs to provide students with practical hands-on learning sessions that illustrate the multitude of uses for data and statistics. Giving students early exposure to data reuse provides a solid background for the more complex data they may gather later in their education. This column describes how librarians at a general academic library used data dashboards and Tableau in two library sessions to provide students with hands-on experience in data visualization and its role in decision-making. 相似文献