Today, increasing energy consumption for heating and cooling is not only greenhouse gas emissions, but also due to climate change and global warming. In this research, for the spatial temporal analysis of heating degree day (HDD) requirement in Khorasan area was used from temperature threshold of 18 degrees, minimum and maximum temperature in 16 stations during the period of 26 years (1990-2015). First, data matrices were created in the MATLAB software with an S dimensional array (9496*16), where are the rows, representing time (day) and columns, representing the locations (stations). Finally, it was calculated of heating degree day per month and plotted spatial mapping in ArcGIS. The stepwise regression model was used for correlation and non-parametric Mann-Kendall test at 95% confidence level for change analysis of heating degree day. The results showed that, significant correlation between altitude and latitude with heating degree day requirements in cold months of the year. As a result, for per 1 degree of latitude and 100 meters high, degree day requirements are increased. In other words, the zoning of heating zones has changed and most of the heating needs are limited to mountainous areas of northern Khorasan and most of the heating needs are in central and southern regions of the area. Also, there is significant decrease in trend of heating degree day in the cold season, especially in October, February and March. These results indicate that, the air is warmed relative to the average temperature in the cold and north-eastern regions of Khorasan, and consequently the use of more than crystalline devices which requires more energy to cool the environment and human climatic comfort.