marijana andabaka
Advanced R solutions for forest science: From data to discoveries
PhD forest scientist specializing in statistical analysis, spatial data integration, and research insights for forestry institutions. Core expertise:
- Statistical analysis & modeling for ecological and forestry research
- Spatial data integration (GIS, remote sensing, field measurements)
- R programming for research workflows
- Climate & environmental data processing
With a PhD in Forestry and 7+ years of research experience, I understand both the scientific questions and the analytical challenges of forest research.

Transform Forest Data into Scientific Insights
Forest research generates complex, multi-dimensional datasets that require sophisticated analytical approaches to unlock their full scientific potential. I help research institutions extract meaningful insights from ecological data through advanced statistical modeling, spatial analysis, and integrated data approaches. As a PhD forest scientist with extensive R programming expertise, I understand both the ecological questions driving your research and the analytical methods needed to answer them rigorously. My solutions combine deep domain knowledge with statistical precision to strengthen your research conclusions and accelerate scientific discovery. Let me help you reveal the patterns hidden in your forest data and enhance the impact of your research.
What I Deliver
- Advanced Statistical Analysis: Sophisticated modeling approaches for complex ecological datasets
- Spatial Data Integration: Seamless combination of field measurements, remote sensing, and environmental data
- Research-Quality Insights: Methodologically sound analyses that support peer-reviewed publications
- Reproducible Science: Documented R workflows that ensure transparency and replicability
- Scientific Collaboration: Working with your research team to build analytical capacity and domain expertise
R for Forest Science

Drought Stress in Forests: Mastering the SPEI Package for Climate Analysis
2 June, 2025
Master forest drought analysis with the SPEI package - detect drought stress months before visible symptoms and create standardized assessments across multiple ecological time scales.
17 minutes read
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Geographic Data for Forestry Research Made Easy: The R geodata Package
21 May, 2025
Transform geographic data acquisition using the geodata R package - access elevation, soil, climate, land cover and species occurrence datasets in minutes instead of days.
10 minutes read
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Automating Forest Data Extraction: From Multiple Files to Analysis-Ready Datasets
6 February, 2025
Learn how to automate the extraction of forest data from multiple files using R, significantly reducing manual data processing time and ensuring data accuracy.
12 minutes read
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Introduction to Google Earth Engine: A Powerful Tool for Modern Forest Science
6 February, 2025
A comprehensive guide to using Google Earth Engine for forest research, with practical examples using R and the rgee package.
24 minutes read
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