Statistical methods for quantifying variation in spatiotemporal areal data

该项目旨在开发新的统计方法，以提取对区域数据的时空变化的见解。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20种癌症的小区域估计。该项目意义重大，因为它将使政府和其他组织从收集空间信息的投资中获得收益，并使小区域估算模型能够在不损害保密性的情况下发布。预期的结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、管理人员和决策者受益，他们可以根据空间和时间上的地理数据进行决策。

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.