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Banner 📫 Let's connect!
I'm always open to collaboration or discussion on forest science, data modeling, or environmental research.


Featured Repositories → Portfolio📍

1) Machine learning tools applied to ecological and environmental data (forestry applications): Random Forest modeling.

2) Process-based model applied to soil carbon simulation (soil-forestry science application): RothC

3) Multivariate statistical analyses

4) Geostatistics - Course - Spanish

5) Time series modeling - Course - Spanish


About me ✍️

🌲 Ph.D. in Forest Sciences

I'm specialized in modeling ecological processes using tools such as machine learning, statistical analysis, and geospatial data processing. I have over seven years of experience integrating and analyzing large volumes of environmental data, particularly in managed forest ecosystems.

🔬 My work focuses on:

  • Soil carbon storage and stabilization
  • Forest biomass quantification
  • Wildfires and disturbance dynamics
  • Biodiversity and land-use change monitoring
  • Forest management impacts
  • Model optimization

💻 Technical expertise:

  • Development of hybrid models integrating geostatistics, machine learning, and process-based modeling (R & Python)
    • Random forest
    • CART
    • Neural networks
    • SVM
    • Hibrid models
    • Digital soil mapping
    • Species distribution mapping
  • Applied statistics for spatial and temporal analysis:
    • Time series modeling
    • Multivariate analysis
    • Linear & nonlinear models
    • Statistical inference
    • Experimental design
    • Uncertainty assessments
  • Process-based models
    • RothC
    • Yasso
    • CENTURY
    • Millenial
    • 3PG
  • Remote sensing
    • LiDAR
    • DEM

⚙️ Software

  • R, Phyton, Anaconda, ggplotly, ArcGIS, QGIS, Google Earth Engine, PowerBI, AutoCAD, Paqueteria Microsoft, ENVI, ERDAS Imagine, IDRISI, Canva, Notion, LogSeq, Image, GapLight Analyzer

📝 Publications

  • Pérez Vázquez, Z.R. (2025).
    A multiframework approach for modeling soil carbon dynamics in managed forests. Stock estimations and future projections
    PhD dissertation

  • Pérez Vázquez et al. (2021).
    Enfoque espacial para modelación de carbono en el mantillo de bosques bajo manejo forestal maderable
    Read article

  • Pérez Vázquez, Z.R. (2020).
    Modelación espaciotemporal del contenido de carbono en el mantillo de un bosque bajo manejo forestal
    MsC dissertation Download PDF


🎥 Featured Videos about machine learning applications

Modeling Forest Carbon - SOMEREFO 2021 Data Analysis in Ecology - NAFEW 2022
Video 1 Video 2

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