Raw Data on Global Land Temperatures By City
Description
This is the dataset that we based on in our study to forecast global land temperatures by city for the next 100 years. The gist of our research work was to forecast global land temperatures by city for the next 100 years using two machine learning algorithms. These algorithms were; polynomial regression and artificial neural networks. The data used was obtained from the climate data store upon request. In our results, predictions from polynomial regression showed that a rapid increase in global land temperatures was to occur from 2012 to 2032 while a rapid increase in global land temperatures was predicted to occur from 2012 to 2032 followed by a gentle rise from 2032 to 2100 based on the artificial neural networks’ prediction. The results of the scenario analysis revealed a dire need for aggressive mitigation to be adopted and implemented as soon as possible