Portfolio

Oikobit is led by Gabriel Arellano. This portfolio brings together work delivered through Oikobit and relevant earlier research collaborations led or co-developed by Gabriel. 

fgeo2: making forest analysis code easier to use and maintain

Context: ongoing consulting engagement through Oikobit; ForestGEO analytical workflows.

Problem: forest plot researchers work with a large body of R code built over many years. Existing functions vary in relevance, clarity and maintainability; new users need dependable ways to understand and reuse the methods.

Gabriel's contribution: evaluate legacy methods and their dependencies, remove or simplify code where justified, develop focused functions, and provide tests and tutorials alongside the scientific reasoning. 

Evidence: github.com/gabrielareto/fgeo2. This is active development rather than a finished software release.

ATFS: making forest datasets comparable across networks

Context: Alliance for Tropical Forest Science; Gabriel's academic and network role as co-PI.

Problem: research networks use different data formats and definitions, and raw datasets may remain under local governance. Cross-network science needs agreed meanings and reproducible transformations.

Gabriel's contribution: coordinate and contribute to discussions on data federation, harmonization and the scientific use of distributed forest datasets. The associated DataHarmonization application is a collaboration with separately credited developers.

Evidence: alliancetropicalforestscience.net/working-groups.html and github.com/Alliance-for-Tropical-Forest-Science/DataHarmonization.

ForestGEO: a shared protocol for tree mortality and damage

Context: collaborative research and field implementation within ForestGEO; Gabriel's scientific work.

Problem: tree deaths and damage need to be observed and recorded in consistent ways across sites and field teams for subsequent analysis.

Gabriel's contribution: co-develop a repeatable field protocol and support its use in research teams, linking observable categories to later data analysis.

Evidence: https://onlinelibrary.wiley.com/doi/10.1111/jvs.12981.

Discuss an institutional data or methods problem: info@oikobit.com