Geostatistical exploration of spatial variation of summertime temperatures in the Detroit metropolitan region

► Temporal variation of summertime temperatures differed among 17 urban locations. ► Impervious surface was an important predictor of mean and minimum temperatures. ► Kriging was useful for predicting fine-scale spatial temperature structure. ► Land cover and meteorological data helps predict temperatures in sub-city areas.