The transition probabilities for forest areas subject to different activities such as “no management”, thinning and final felling can be either read from files or estimated (automatically) at the start of every simulation. In the former case, the estimation has to be done beforehand and the results saved in a file. In the latter case, data must be accessible for the estimation function. As an example, the words “read” or “estimate” in the “SEactivities.txt” contained in the toy dataset specify whether EFDM should simply read a file, or run the estimation function. Note, that in the current version, estimation “on the fly” is only possible for “no management”. Further, depending on the keyword, either the name of the file to be read or the name of the input file for the estimation function needs to be specified. Lastly, the names of the “changing” factors need to be specified. The order must be “volume” “age”. The entries should be separated by spaces. Technically, the matrices for different forestry types are “packed” into multidimensional arrays. The probability matrices (or arrays) for the different activities must be, however, separate. The matrices must have the dimensions of (nvol*nage) x (nvol*nage) where nvol and nage are the numbers of volume and age classes respectively. The matrix is made of “nvol*nvol” blocks arranged in a “nage *nage” matrix. The following is an example of the file describing the activities for the EFDM run:
nomgmt estimate estiminput.txt vol age finalfell read ffellP.txt vol age thin read thinP.RData vol age
The "final fell” probabilities produce only one type of transition: after final felling, the whole area always falls back into the age class 1 and volume class 1. Therefore no statistical estimation is needed. The file needs to be written in accordance with the dimensions of the state space. Users will need to prepare this file manually. Since these probabilities will always be read from a file, the keyword “read” must not be changed for final felling in the “activities.txt” file.