Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View Wycology's full-sized avatar

Highlights

  • Pro

Block or report Wycology

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Wycology/README.md

Nature Banner

πŸ‘‹ Welcome to my official GitHub page!

About Me

🌱 I am passionate about understanding how we can halt biodiversity loss through informed land use planning in a changing globe, particularly in tropical croplands.

πŸ“ I primarily work in R, Python, Google Earth Engine, and Shell Scripting for High Performance Computing, using tools like:

Nature Banner

In addition, I have growing experience in image segmentation, using Python libraries like torchgeo and PyTorch β€” focusing on the intersection of Croplands and Biodiversity in Africa and how policy adjustments can halt biodiversity lossπŸƒ


πŸ”₯ Skills and Tools

R Python Google Earth Engine
  • Languages: R, Python
  • Packages: sdm, ENMeval, terra, geodata, torchgeo
  • Domains: Species Distribution Modeling, Remote Sensing, Image Segmentation, Geospatial Data Science
  • Software: QGIS, Google Earth Engine

πŸš€ Current Projects

  • πŸ”¬ Building high-resolution species distribution models using ensemble workflows
  • πŸ›°οΈ Mapping croplands and tea-growing areas in Africa using deep learning (TorchGeo)
  • 🌎 Integrating climate and remote sensing data for better environmental predictions

πŸ“ˆ GitHub Stats

GitHub Stats Top Langs


πŸ“« Connect With Me


"Mapping the future, one pixel at a time."

Satelitte Banner

Popular repositories Loading

  1. rgee_30_days_challenge rgee_30_days_challenge Public

    In this repository, I will share scripts for Novermber 2025 30 days challenge. This is specifically for geospatial experts interested in using R for GEE.

    R 5

  2. sdm_r_packages sdm_r_packages Public

    Forked from helixcn/sdm_r_packages

    A curated list of R packages used in species distribution modelling

    2 1

  3. spatialanalysisR spatialanalysisR Public

    HTML 1 1

  4. ethnobotanyR ethnobotanyR Public

    Forked from CWWhitney/ethnobotanyR

    R package for quantitative ethnobotany

    HTML 1 1

  5. torchgeo torchgeo Public

    Forked from torchgeo/torchgeo

    TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

    Python 1

  6. deep_learning_course deep_learning_course Public

    In this repository, I host colab notebooks that will take you through the steps in learning deep learning for image segmentation using pytorch.

    Jupyter Notebook 1 2