current_focus = {
"π°οΈ Climate Viz": "Building climate and land cover visualizations in QGIS & Google Earth Engine",
"π¬ Data Processing": "Analyzing MODIS, Sentinel-2, and TerraClimate datasets",
"π QGIS Extension": "Developing custom Python and R scripts for spatial workflows",
"π¦ Open Source": "Contributing to R & Python spatial data science ecosystem"
}|
A reproducible workflow to access, process, and visualize TerraClimate datasets using the Tech Stack: R β’ tidyterra β’ climateR |
Generate beautiful and consistent color ramps for maps in QGIS. Inspired by Tech Stack: Python β’ QGIS β’ PyQt |
πΊοΈ Tanzania MODIS ProjectsExtraction and processing scripts for MODIS Landcover data across Tanzania. Supports environmental change detection workflows. Tech Stack: R β’ MODIS β’ Google Earth Engine |
Currently working on spatial analysis tools and climate data visualizations. Stay tuned! |
terra β’ sf β’ ggplot2 β’ dplyr β’ climateR β’ openair β’ tidyterra β’ stars β’ rayshader
graph LR
A[π Data Curiosity] --> B[π Geographic Context]
B --> C[π€ FOSS4G Community]
C --> D[π― Actionable Insights]
D --> A
π§ͺ Driven by data curiosity & geographic context
π€ Supporting and building with the FOSS4G and OSM communities
π± Always learning, always growing




