Statistical methods for quantifying variation in spatiotemporal areal data

量化时空区域数据变化的统计方法

• 批准号: LP200100468
• 负责人: Prof Kerrie Mengersen
• 金额: $ 41.01万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-08-01 至 2024-07-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP200100468
• 关键词: Statistical; methods; quantifying; variation; spatiotemporal

This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time.

该项目旨在开发新的统计方法，以提取对面状数据的空间和时间变化的见解。这些工具将扩展澳大利亚癌症地图集，该地图集提供了澳大利亚各地20种癌症的小范围估计。该项目意义重大，因为它将允许政府和其他组织从收集空间信息的投资中获得红利，并将使建模的小面积估计能够在不影响保密的情况下发布。预期的结果包括新的统计学知识和对癌症的新见解。这一结果将使许多学科、管理者和政策制定者受益，他们根据绘制在空间和时间上的地理数据做出决策。