Discovery Projects - Grant ID: DP210101923

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210101923

Funding Status
Active

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Funded Activity Summary

Innovative statistical methods for analysing high-dimensional counts. The aim is to develop fast, modern statistical methods for analysing high dimensional data in ecology at large scales, in particular, for visualising, classifying and predicting ecological communities. The benefit of the project is a set of multivariate tools that can be used to better understand biodiversity and its response to environmental drivers, a challenging statistical problem. The proposed methods for analysing high dimensional data can provide insight into large scale questions in ecology, such as automated identification of biogeographic boundaries. The expected outcome is a powerful statistical toolset for model-based analysis of high dimensional data, introducing modern multivariate approaches to a high-impact area of ecology.

Funded Activity Details

Start Date: 01-08-2021

End Date: 31-07-2024

Funding Scheme: Discovery Projects

Funding Amount: $410,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistical Theory | Statistics |

ANZSRC Socio-Economic Objective (SEO)

Ecosystem Adaptation to Climate Change | Expanding Knowledge in the Mathematical Sciences | Flora, Fauna and Biodiversity at Regional or Larger Scales

Other Keywords

Applied Statistics | Ecosystem Adaptation to Climate Change | Expanding Knowledge in the Mathematical Sciences | Flora, Fauna and Biodiversity at Regional or Larger Scales | Statistical Theory | Statistics

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