Global Warming Analysis
Global Warming analysis
TL;DR — Four decades of global temperature records (1975–2015) turned into colour-coded, zoomable world map tiles — computing each region’s deviation from its long-run baseline so the warming signal jumps out. Built in Scala with an interactive Scala.js / Leaflet viewer.
Stack — Scala, sbt, Scala.js, Leaflet, spatial interpolation
Generated global maps with the world temperatures and temperature variations since 1975 and up to 2015.
The idea here was to make four decades of climate data something you can actually see, rather than read as a single headline number. Working in Scala, I took historical global temperature records, computed how much each region deviated from its long-run baseline, spatially interpolated the readings, and rendered the results as colour-coded world map tiles — along with an interactive viewer that steps through the years from 1975 to 2015. Mapping the anomalies instead of the raw temperatures is what makes it click: the warming signal jumps straight out, and you can see exactly where change has been most pronounced. It turns a big, abstract dataset into an intuitive visual story you can scroll through year by year, and a quiet reminder of how much a good visualization can let the data argue for itself.
