distance-sampling

PyTorch Implementation for Deep Metric Learning Pipelines

Fit models to data from unmarked animals using Stan. Uses a similar interface to the R package 'unmarked', while providing the advantages of Bayesian inference and allowing estimation of random effects.

This package provides routines for parameter estimation and model diagnostics for any probability density or mass function implemented in R via maximum likelihood given a data set, with or without covariates. Tools in this package have general applicability, especially in survival analysis and distance sampling. 🔍💻

ct is an R package to manage and analyze camera trap data for wildlife monitoring and ecological research.

Python module for automation of Distance Sampling analyses with Distance software (http://distancesampling.org/)

Line-transect Distance Sampling Shiny App

This repo is part of my Masters Project in the course Marine Science and Climate Change at the University of Gibraltar

Farr, M.T., Green, D.S., Holekamp, K.E., Roloff, G.J., & Zipkin, E.F. 2019. Multi-species hierarchical modeling reveals variable responses of African carnivores to management alternatives. Ecological Applications 9(2): e01845.

Monocular Depth Estimation for Wildlife Distance Sampling

Farr, M.T., Green, D.S., Holekamp, K.E., Roloff, G.J., & Zipkin, E.F. 2019. Multi-species hierarchical modeling reveals variable responses of African carnivores to management alternatives. Ecological Applications 9(2): e01845.

Segment aerial line-transect marine mammal survey data (NARWC format) into effort segments and detection distances for distance sampling and density surface modeling. On-effort determination, great-circle effort, Becker segmentation, right-angle distances from all four sources the archive records, and a Distance-ready flatfile.