Applications et comparaison de méthodes statistiques pour prédire la croissance du pin gris sur le territoire québécois
|Abstract:||The establishment of model for growth of trees in a natural environment is a key element to the management of forests. The units of observations are plots, which is a circular 400 m2 area of forest. The abundance of the trees on a plot is characterized by their number, the dominant height, the basal area and the volume. Forecasting of the growth of these variables is thus a subject of interest for the foresters. One finds in the literature various methods of prediction, those based on econometric models or, more recently, on multivariate mixed linear models. This essay is a theoretical and practical report of these statistical methods. Those are applied and compared starting from a data file coming from the network of permanent plots samples from ”le Ministère des Ressources naturelles et de la Faune du Québec”. The species of tree used here is the Jack pine.|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||13 April 2018|
|Collection:||Thèses et mémoires|
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