Code and Data for the paper "A Multi-Level Bayesian Analysis of Urban and Rural Warming Trends Across Global Climates"

This repository contains code and data supporting the analysis reported in "A Multi-Level Bayesian Analysis of Urban and Rural Warming Trends Across Global Climates" (preprint title: "Urban and Rural Warming Trends from MODIS are Statistically Indistinguishable") The study uses MODIS Land Surface Temperature (LST) data together with a multi-level Bayesian model to quantify warming rates across densely populated climate zones and to assess the effect of urbanization.