Advances in biodiversity modelling - analysis of high-dimensional counts

生物多样性建模的进展——高维计数分析

• 批准号: DP150100823
• 负责人: Prof David Warton
• 金额: $ 20.41万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-02-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150100823
• 关键词: Advances; biodiversity; modelling; analysis; dimensional

The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental impacts. This project aims to develop the first models that can be used directly to draw valid community-level conclusions for common ecological data types. The expected outcome is a powerful toolset for fully model-based inference from high-dimensional counts, introducing modern approaches to a high-impact area of ecology.

目的是开发灵活的模型来分析高维计数数据，特别是研究物种相互作用和群落对环境因素的反应。这个项目意义重大，因为越来越多的重要研究问题是通过使用具有许多响应变量的数据来回答的，这在研究生态群落及其对环境影响的响应时是特别需要的。该项目旨在开发第一批可直接用于对常见生态数据类型得出有效的社区一级结论的模型。预期的结果是一个强大的工具集，用于从高维计数中完全基于模型的推断，将现代方法引入生态的高影响区域。