Digital Government: Collaborative Research: Quality Graphics for Federal Statistical Summaries

数字政府：协作研究：联邦统计摘要的高质量图形

• 批准号: 9983459
• 负责人: David Scott
• 金额: $ 27万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Continuing grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-15 至 2005-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9983459&HistoricalAwards=false
• 关键词: Digital; Government; Collaborative; Research; Quality

EIA-9983459Scott, David W.William Marsh Rice UniversityDigital Government: Collaborative Research: Quality Graphics for Federal Statistical SummariesThe Federal government distributes a vast quantity of statistical summaries in printed and electronic form. The full wealth of information that might be derived from these summaries is not being realized because limited attention is paid to disseminating summaries in understandable forms. This research will develop and assess quality graphics for federal statistical summaries. The development and assessment process will consider perceptual and cognitive factors in reading, interacting with and interpreting statistical graphs, maps and metadata representatives. The purposes of the quality graphics include exploration by agency users evaluating data quality and looking for emergent trends, decision making by public policy makers and communication of statistical summaries to the public. The proposed research addresses four topic areas: converting tables to graphs, representing metadata, interacting with both graphs and maps, and conveying multivariate spatial and temporal relationships. The research features use of Web-based "middleware" components to provide rapid development of graphics for usability testing. The featured middleware is a Java Graphics Component Library (GPL). A long history of research has recently culminated in a rigorous graph algebra that is the foundation for the library. The library also benefits from the collective intellectual effort being poured into Java. Principles of human perception and cognition will be used to guide the construction of statistical graphics, and usability tests will help to refine those principles in the context of federal statistical summaries. The research team has been carefully selected to bring together outstanding and compatible investigators who will provide expertise in statistical graphics, cartography, human perception and cognition, and software development and is composed of university, industrial and federal agency personnel.

EIA-9983459Scott，David W.William Marsh Rice University Digigital政府：合作研究：联邦统计总结的质量图形联邦政府以印刷和电子形式分发了大量统计摘要。 可能从这些摘要中得出的全部信息没有得到实现，因为有限的关注被以传播可以理解的形式传播摘要。 这项研究将开发和评估联邦统计摘要的质量图形。 开发和评估过程将在阅读，与统计图，地图和元数据代表进行阅读，互动和解释时考虑感知和认知因素。 质量图形的目的包括评估数据质量并寻找新兴趋势，公共政策制定者的决策以及向公众统计摘要的交流的探索。 拟议的研究介绍了四个主题领域：将表转换为图表，代表元数据，与图和地图相互作用，并传达多元空间和时间关系。 该研究具有基于Web的“中间件”组件的使用，可快速开发可用性测试的图形。 特色中间件是Java图形组件库（GPL）。 最近的研究历史最近达到了严格的图表代数，这是图书馆的基础。 图书馆还受益于集体智力上的努力涌入Java。 人类感知和认知原则将用于指导统计图形的构建，可用性测试将有助于在联邦统计摘要的背景下完善这些原则。 该研究团队已经过精心选择，以汇集出杰出的兼容调查人员，他们将提供统计图形，制图，人类认知和认知以及软件开发方面的专业知识，并由大学，工业和联邦代理机构人员组成。