Forest biometrical models for SPSS

by Kitikidou Kyriaki of the University of Thrace, Greece.
Abstract. Regression equations that predict important forest variables (total tree height, breast height diameter, form factor, form height, total volume, tree diameter at any height) are very useful in forest biometry applications. In this paper, we attempt to collect several equations for the prediction of the variables mentioned above and write seven programs for the SPSS statistical package (version 7.0 or later), so researchers could easily run them and select the best models for the region and the tree specie of their interest.
Download the Related syntax data file and output files.