Land evaluation based on Boosting decision tree ensembles

Traditional land evaluation methods are more liable to be restricted with human elements. It is significant to investigate more scientific and reasonable land evaluation methods for land use and planning. Because decision tree has the characteristics of high accuracy and intelligibility, and especially C5.0 uses Boosting technique to improve classification accuracy, land evaluation using C5.0 with the function to build Boosting decision tree ensembles was conducted. Moreover, C5.0 was used to evaluate the land resources of Guangdong Province, and the results using decision tree with and without Boosting were analyzed and compared. The experimental results demonstrate that C5.0 can be used to evaluate land resources accurately, and the land evaluation accuracy of decision tree without Boosting was lower than that of the decision tree ensemble with Boosting.