Research

I am working on various research projects to develop and apply quantitative techniques to improve the monitoring of threatened species. These projects primarily focus on the application of Bayesian spatial modelling, data fusion and deep learning to data collected with non-invasive sensors such as camera traps, bioacoustics and earth observation. Further information on these projects, as well as published research, collaborators, and funding can be found below.

Publications

Joint spatial modeling of cluster size and density for a heavily hunted primate persisting in a heterogeneous landscape

Andrew Houldcroft, Finn Lindgren, Américo Sanhá, Maimuna Jaló, Aissa Regalla de Barros, Kimberley J. Hockings, Elena Bersacola

Ecography, 2024

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Code

Worked examples and code vignettes accompanying this research. View all →