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.

Project Image

Mapping habitat in complex tropical landscapes with geospatial foundation models

2025 - ongoing

Project Image

Automating bioacoustic monitoring in a primate diversity hotspot

2025 - ongoing

Project Image

Data fusion for great ape population monitoring

2024 - ongoing

Project Image

Improving indirect population monitoring with joint spatial models

2024 - ongoing

Project Image

Separable space-time models for camera trap distance sampling

2024 - ongoing

Project Image

Joint spatial modelling of wildlife density and cluster size

2022 - 2024

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
View Publication →

Contact

A.Houldcroft@exeter.ac.uk

Stella Turk Building
University of Exeter
Penryn Campus
Treliever Road
Penryn, Cornwall
TR10 9FE