Advanced Spatial Analysis Training Program for Population Scientists

描述（由申请人提供）：空间数据和方法在人口研究中的应用已被确定为当今人口科学家面临的关键方法学挑战。尽管GIS入门课程的教学环境有所改善，但先进空间分析方法在人口科学中的应用和运用仍然滞后。因此，下一代人口科学家可能没有充分准备好利用空间统计分析领域的最新方法论发展和新软件产品。此 R25 培训补助金申请有两个目的。目标 1：通过提供一系列有关尖端技术的高级空间分析研讨会，超越基本的 GIS 培训，并为人口科学领域的空间分析教学设定最高标准。拟议的四个研讨会是：空间回归建模；地理加权回归；空间/多层次建模；和空间格局分析。这些高级研讨会的目标受众是美国研究机构和人口相关机构的早期职业人口科学家（即人口学相关学科的研究生和初级研究人员）。我们将每个研讨会举办两次（需经过审查），参加人数最多为 200 人。目标 2：通过并行开发有关四种所选方法和其他高级空间分析方法的资源材料来补充研讨会系列；将通过现有的 GIS 和人口科学 (GISPopSci) 网站公开提供资源材料。当前的网站将通过新的学习材料、参考列表和其他高级空间分析资源得到增强。此外，该网站还将包括允许人口科学界的任何成员注册自己的空间人口学相关项目和材料的选项。我们打算为更广泛的人口科学领域开发并服务于更广泛的人口科学领域。在整个资助期间，我们将评估研讨会对所有参与者的影响。将进行退出调查、一年的后续调查以及第 5 年的后续后续调查（针对第 1-3 年的参与者）。我们相信这些研讨会将促进空间信息人口学的进一步发展，并将培训 200 名早期职业学者。本申请是为了响应 PA-06-507“人口研究教育计划”而提交的。大学部门、商业部门和教科书学习先进空间分析方法的现有机会和资源有限、成本高昂，而且往往不针对人口科学研究问题和应用。拟议的培训计划是独一无二的，提供针对早期职业人口科学家的研讨会，并将为整个领域开发网络资源。虽然该计划是为人口科学家设计的，但公共卫生和流行病学等密切相关领域的研究人员不可避免地会从拟议的培训计划中受益。事实上，在参加我们之前的 R25 GIS 和人口科学培训项目的研究人员中，来自公共卫生、流行病学、健康科学和卫生规划的参与者占了 22%（参见附录 E）。

DESCRIPTION (provided by applicant): The application of spatial data and methods to demographic research has been identified as a critical methodological challenge facing population scientists today. Although the instructional environment for introductory GIS courses has improved, the application and use of advanced spatial analysis methods in population science lags behind. Thus, the next generation of population scientists may not be adequately prepared to take advantage of the recent methodological developments and new software products in spatial statistical analysis. This R25 training grant application has two aims. Aim 1: To move beyond basic GIS training and set the highest standards for spatial analysis instruction in the population sciences by offering a series of advanced spatial analysis workshops on cutting-edge techniques. The four proposed workshops are: spatial regression modeling; geographically weighted regression; spatial/multi-level modeling; and spatial pattern analysis. The target audience for these advanced workshops is early-career population scientists (i.e., graduate students and junior researchers in demography-related disciplines) based at research institutions and population-related agencies in the U.S. We will offer each workshop twice (subject to a review), reaching as many as 200 attendees. Aim 2: To supplement the workshop series with parallel development of resource materials on the four selected and other advanced spatial analysis methods; resource materials that will be made publicly available via an existing GIS and Population Science (GISPopSci) website. The current website will be enhanced with new learning materials, reference lists, and other advanced spatial analysis resources. In addition, the website will include options that allow any member of the population science community to register their own spatial demography-related projects and materials. We intend for the website to be developed for and to serve the wider population science field. Throughout the grant period we will be evaluating the impact of the workshops on all attendees. There will be an exit survey, a one year follow-up, and a later follow-up survey in Year 5 (for Year 1-3 attendees). We believe these workshops will facilitate the further development of spatially-informed demography, and will have trained 200 early-career scholars. This application is submitted in response to PA-06-507 on "Educational Programs for Population Research." Existing opportunities and resources to learn advanced spatial analysis methods in the university sector, the commercial sector, and from textbooks, are limited, costly, and frequently not targeted towards population science research questions and applications. The proposed training program is unique, offers workshops targeted at early-career population scientists, and will develop web resources for the field at large. While the program is designed for population scientists it is inevitable that researchers in closely allied fields such as public health and epidemiology stand to gain from the proposed training program. Indeed, participants from public health, epidemiology, health sciences, and health planning accounted for 22 percent of the researchers who attended our previous R25 training program on GIS and Population Sciences (see Appendix E).