پیش بینی ناراحتی ناخوشایند از پنجره های زیر آسمان گرمسیری

The results for the UGP show agreement in predicting discomfort from windows between both data sets using regression analysis. A simple hypothesis test showed discomfort was accurately predicted by the old UGP model for 69% of new surveys. The agreement between the two data sets for window glare enabled them to be combined into one massive data set of 813 surveys to update the UGP. The updated metric uses a logistic curve in place of the original linear transformation of the Unified Glare Rating (UGR) to prevent illogical values of probability being obtained from the metric.