Ciencia de Datos para la conservación de islas.
This site shares how the Data Science team at GECI works, thinks, and learns. You will find articles on our workflows, coding standards, statistical methods, and lessons learned from real conservation projects.
- Read blog posts on data science and conservation
- Browse our style guide and protocols
- Learn about our automation and reproducibility practices
- Join our open source community
Nothing to install. Just visit islas.dev in your browser. All content is public and free.
If you read a blog post, you will learn how we solve a specific conservation-data problem — from data cleaning through analysis to reporting.
If you browse the style guide, you will find standards we follow for writing code, naming files, and structuring repositories.
If you explore a protocol, you will see step-by-step how we handle data collection, formatting, and quality control.
- More posts on species distribution modeling
- Updated guides for Python-based analysis pipelines
- Templates for reproducible conservation reports