Data and R code for population density estimation in Garthen et al. (2026): Distance-based population density estimates from camera traps

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Authors: Phil Garthen, Hari Surya Charan Mudragada, Stefanie Schwarz, Hendrik Edelhoff, Manuel J. Steinbauer, Wibke Peters, Kagan Kuecuekaytekin, Ludwig Bothmann
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Abstract

These data and R code were used in the experiments reported in the manuscript “Distance-based population density estimates from camera traps: Strong impact of technical choices in automated pipelines. The R code estimates population densities of red deer (Cervus elaphus) in the Veldensteiner Forest, Germany, using camera trap distance sampling and performs sensitivity analyses by varying parameter configurations within the pipeline. The input data (distance data) were produced using monocular depth estimation (see https://github.com/slds-lmu/wildlife-experiments-server/releases/tag/v1.0.0).

Fields of Study & Subjects

Wildlife Ecology and Conservation Census and Population Estimation Animal Ecology and Behavior Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 January 2026
Language
EN