Urban climate regressions require representative monitoring networks

Land use regression models relate intra-urban air temperature to spatial predictors such as building volume, tree canopy cover and topography, and are increasingly used to produce fine-scale temperature maps. However, the accuracy of these estimates can be compromised by unrepresentative monitoring