Study of afforestation design based on association rules
Yao Shan, Zhongke Feng · 2012
In order to improve the accuracy of forest decision-making and design the technical measures for the forest types, tree species, planting density, planting mixing and afforestation methods technically and economically. This paper adopts data mining technique based on association rules to analysis the relevance among specification of soil preparation, planting spacing and the ratio of mixing plantation, and discovers the afforestation knowledge from afforestation survey design data. This research realizes the support to afforestation decision analysis by using association rules, and provides the reference for the afforestation decision support.