Code and Data for the paper "Urban and Rural Warming Trends from MODIS are Statistically Indistinguishable"
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This repository contains code and data supporting the analysis reported in "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.
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Zenodo创建时间：
2025-09-30
