Geovisualization and Spatial Analysis of Cancer Data

描述（由申请人提供）：这里提出的研究将发展， 实施、评估和传播下一代跨平台， 支持可视化的地理空间分析方法和工具， 癌症相关的公共卫生研究和政策。的主要目的 工作是开发一个协调的视觉，统计和计算 一种扩展现有能力的方法，以探索，识别，调查， 解释癌症发病率和死亡率的空间模式， 与人口统计和卫生政策的关系。特别值得注意的是 新的机制，以评估可能出现的不作为和作为错误， 所提议的方法和工具将有助于将下列方面结合起来： 流行病学、人口和卫生政策数据，使研究人员和 分析师对社区，他们的健康， 癌症，以及与卫生政策的关系（如筛查、无障碍）。一 一系列概念验证案例研究将用于演示和评估 开发的方法和工具，同时解决具体问题 与阿巴拉契亚癌症网络（ACN）相关的癌症研究问题。 正式的可用性评估方法将在整个 以人为中心的软件设计、实现和部署过程。的 这些评估的目标是确保方法和工具 癌症研究人员既可以获得也可以使用， 分析师，他们的工作是为了支持。我们将充分利用 在ACN和空间一体化中心内的外展工作 社会科学（CSISS），传播开发的软件，并提供 在癌症研究和政策界进行使用培训， 阿巴拉契亚和更远的地方。

DESCRIPTION (provided by applicant): The research proposed here will develop, implement, assess, and disseminate the next generation of cross-platform, visually-enabled geospatial analysis methods and tools to support cancer-related public health research and policy. The primary objective of the work is to develop a coordinated visual, statistical, and computational approach that extends current abilities to explore, identify, investigate, and explain spatial patterns of cancer incidence and mortality, and their relationships to population demographics and health policy. Of special note are new mechanisms to assess the potential for errors of omission and commission in that analysis The proposed methods and tools will facilitate the integration of epidemiological, demographic, and health-policy data, enabling researchers and analysts to take a holistic view of communities, their health with respect to cancer, and relationships to health policy (e.g. screening, accessibility). A series of proof-of-concept case studies will be used to demonstrate and assess the methods and tools developed and, at the same time, to address specific cancer research questions relevant to the Appalachia Cancer Network (ACN). Formal usability assessment methods will be applied throughout the human-centered process of software design, implementation, and deployment. The goal of these assessments will be to ensure that the methods and tools developed are both accessible to and useable by the cancer researchers and analysts whose work they are intended to support. We will take full advantage of outreach efforts within the ACN and the Center for Spatially Integrated Social Science (CSISS), to disseminate software developed and to provide training in its use to the cancer research and policy communities within Appalachia and beyond.