Serengeti-Species-Count-Analysis-ZIP-

Serengeti-Species-Count-Analysis-ZIP-

JessicaaaJe

This study employs Zero-Inflated Poisson models to analyze how environmental factors like vegetation, river proximity, and lion predation risk affect the counts of Thomson's gazelles, topi, and zebras in the Serengeti, revealing varying impacts of the same environmental factors

1 Stars
0 Forks
1 Watchers
R Language
bsd-2-clause License
45.1 SrcLog Score
Cost to Build
$98.5K
Market Value
$24.6K

Growth over time

3 data points  ·  2026-04-09 → 2026-04-23
Stars Forks Watchers
💬

How do you feel about this project?

Ask AI about Serengeti-Species-Count-Analysis-ZIP-

Question copied to clipboard

What is the JessicaaaJe/Serengeti-Species-Count-Analysis-ZIP- GitHub project? Description: "This study employs Zero-Inflated Poisson models to analyze how environmental factors like vegetation, river proximity, and lion predation risk affect the counts of Thomson's gazelles, topi, and zebras in the Serengeti, revealing varying impacts of the same environmental factors ". Written in R. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone Serengeti-Species-Count-Analysis-ZIP-

Clone via HTTPS

git clone https://github.com/JessicaaaJe/Serengeti-Species-Count-Analysis-ZIP-.git

Clone via SSH

[email protected]:JessicaaaJe/Serengeti-Species-Count-Analysis-ZIP-.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the Serengeti-Species-Count-Analysis-ZIP- issue tracker:

Open GitHub Issues