This paper presents a design framework for geographic visualization based on iterative evaluations of a toolkit designed to support cancer epidemiology. The Exploratory Spatio-Temporal Analysis Toolkit (ESTAT), is intended to support visual exploration through multivariate health data. Its purpose is to provide epidemiologists with the ability to generate new hypotheses or further refine those they may already have. Through an iterative user-centered design process, ESTAT has been evaluated by epidemiologists at the National Cancer Institute (NCI). Results of these evaluations are discussed, and a design framework based on evaluation evidence is presented. The framework provides specific recommendations and considerations for the design and development of a geovisualization toolkit for epidemiology. Its basic structure provides a model for future design and evaluation efforts in information visualization.

中文翻译：

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流行病学中探索性地理可视化的设计框架

本文提出了一个基于迭代评估的地理可视化设计框架，该工具包旨在支持癌症流行病学。探索性时空分析工具包 (ESTAT) 旨在通过多变量健康数据支持视觉探索。其目的是为流行病学家提供产生新假设或进一步完善他们可能已经拥有的假设的能力。通过以用户为中心的迭代设计过程，美国国家癌症研究所 (NCI) 的流行病学家对 ESTAT 进行了评估。讨论了这些评估的结果，并提出了基于评估证据的设计框架。该框架为流行病学地理可视化工具包的设计和开发提供了具体的建议和考虑。