Tapir Activity Modeling

This repository contains scripts, data, and outputs related to the Bayesian circular mixed-effects modeling of lowland tapir diel activity patterns in the Orinoquia region. Analyses are conducted in R using the brms, circular, and ggplot2 packages, with a focus on environmental and spatial covariates.

Repository Structure .

├── data/ # Raw and processed datasets

├── scripts/ # Analysis scripts (R scripts for modeling, visualization, and statistics)

├── results/ # Model outputs, plots, and tables

├── README.md # Project description and instructions

Description The project aims to:

• Quantify diel activity patterns of lowland tapirs.
• Explore environmental and anthropogenic drivers of activity variation.
• Evaluate behavioral plasticity using Bayesian circular mixed-effects models.
• Provide site-specific conservation insights.

Requirements

• R (≥ 4.0.0)
• R packages:
  • brms
  • circular
  • ggplot2
  • dplyr
  • tidyr
  • readr
  • loo

Install all packages using: install.packages(c("brms", "circular", "ggplot2", "dplyr", "tidyr", "readr", "loo"))

Outputs Conditional effect plots for covariates. Site-specific diel activity curves. Model comparison tables (LOOIC, Bayesian R²). Pairwise Watson’s U² results.

License This repository is licensed under the MIT License CC BY 4.0.