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 climateR and tidyterra packages.
Tech Stack: R β’ tidyterra β’ climateR
Generate beautiful and consistent color ramps for maps in QGIS. Inspired by MetBrewer and MoMAColors.
Tech Stack: Python β’ QGIS β’ PyQt
πΊοΈ Tanzania MODIS Projects
Extraction 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!
R Python JavaScript SQL HTML5 CSS3
QGIS Google Earth Engine GRASS GIS
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