A Dynamic and Correctable Forecast Method About Construction Land
Meng Chen · Wuhan Daxue xuebao. Xinxi kexue ban · 2014
The traditional methods for construction land forecasting are based on static data which simulate construction based on the trend extension method.However,when new data are acquired,these methods can not consider the relationship between new data and the original prediction results,and thus,construction land area needs to be reforecasted.This paper proposes a model which uses one-variable linear regression and least square method to correct prediction results dynamically when a type of new data is acquired.The results show that the corrected result is able to fit and replace the predictive values which are reprocessed using the new data.