Geo-visual analytics of capture fisheries statistical data

将公共统计数据有效地传达给加拿大公民有许多潜在的好处，包括：提高商业和社区规划的能力；通过更好的决策提高生产力；总的来说，更好地了解我们所生活的社会。最近的技术进步使以网络为基础提供公共统计数据的可视化表示成为可能。然而，同汇编统计数据的所有其他阶段一样，必须非常小心地确保有效和不偏不倚地传播数据。这项研究的目标是设计和评估一组统计数据的可视化表示，以便向加拿大公众有效地进行地理空间信息交流。我们将评估现有的可视化表示法，以便充分了解目前可用的信息，并开发其他可视化技术，以支持向公众传播统计信息。我们将与加拿大统计局和纽芬兰和拉布拉多统计局合作，开发一个能够上网的地理视觉分析工具包，以满足加拿大公众的需要，用精心挑选的数据集填充工具包，并进行用户评价，以确定信息传播的有效性。这一研究项目的主要成果将是一个可向公众开放的地理视觉分析系统，旨在通过交互式可视化和探索工具促进对统计信息的认识和使用。在本研究过程中设计和开发的特定地理视觉模块将发布给开放源码社区，供政府机构、工业界和学术界免费使用。通过设计、开发和研究这些系统而发现的知识将通过学术期刊和会议发表和推广。

Effective communication of public statistics to Canadian citizens has many potential benefits, including: an increased capacity for business and community planning; increased productivity through better decision-making; and generally, a better understanding of the society in which we live. Recent technological advances have made the Web-based delivery of visual representations of public statistics a possibility. As with all other stages of the compilation of statistical data, however, great care must be taken to ensure an effective and unbiased dissemination of the data. The goal of this research is to design and evaluate a collection of visual representations of statistical data for the effective geo-spatial communication of this information to the Canadian public. We will evaluate existing visual representations in order to gain a full understanding of what is currently available, and develop alternative visualization techniques to support the public dissemination of statistical information. In partnership with Statistics Canada and the Newfoundland and Labrador Statistical Agency, we will develop a Web-enabled geo-visual analytics toolkit designed to meet the needs of the Canadian public, populate the toolkit with a well-chosen collection of data, and perform user evaluations to determine the effectiveness of communication of the information. The primary outcome of this research project will be a publicly accessible geo-visual analytics system designed to promote the awareness and use of statistical information through interactive visualization and exploration tools. The specific geo-visual modules designed and developed in the course of this research will be released to the open-source community, making them freely available for use by government agencies, industry, and academia. Knowledge discovered through the design, development, and study of these systems will be published and promoted through academic journals and conferences.