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，以深入了解区域数据的空间和时间变化。这些工具将扩展澳大利亚癌症地图集，该地图集提供澳大利亚 20 种癌症的小区域估计。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，并且可以在不损害保密性的情况下发布模拟的小区域估计。预期成果包括新的统计知识和对癌症的新见解。研究结果将使许多学科、管理者和政策制定者受益，他们根据空间和时间映射的地理数据做出决策。