cartography

Maps and spatial data work with R and QGIS: what each piece shows, how I made it, and what it taught me.

I came to cartography from environmental impact assessment, where every report starts with a location map and a baseline. This page is where I practise in the open: making maps, and the R work behind them — finding and cleaning spatial data, joining it to environmental indicators, and turning it into figures that answer a question. Small pieces first, more ambitious ones as my R and QGIS skills grow.

Tools: R (sf, terra, tmap, ggplot2, dplyr) · QGIS · open data (OpenStreetMap, Copernicus, GUS, Eurostat GISCO)

  1. Foundations — clean location and baseline maps, the kind every ESIA needs.
  2. Climate & environment — land surface temperature, green space and land cover for Warsaw and Polish cities.
  3. Carbon — mapping and quantifying emissions and carbon storage in soil and vegetation.