New insights from point event data in ecology

该项目旨在开发新的工具来分析来自多个物种和来源的点事件数据，以更好地预测物种分布和对气候变化的潜在响应。该项目为这些多变量数据提出了联合统计模型，以提高准确性，并深入了解哪些物种在分布和环境响应方面存在关联。新的工具集有望提供显著的好处，包括提高对物种分布和相互作用的驱动因素的理解，以及对气候变化的潜在反应。

This project aims to develop new tools for analysing point event data from multiple species and sources, to better predict species distribution and potential response to climate change. The project proposes joint statistical models for such multivariate data, for greater accuracy and for insights about which species are related in distribution and in environmental response. The new toolset expects to provide significant benefits including improved understanding of the drivers of species distribution and interaction, and potential response to a changing climate.