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Incorporating spatial and operational constraints in the sampling designs for forest inventories

Audrey-Anne Vallée, Bastien Ferland-Raymond, Louis-Paul Rivest & Yves Tillé

Résumé In the province of Quebec, Canada, the forest is examined through
regular inventories. Requirements for the spreading and the type of
trees and for the cost are difficult to manage. We show that modern and
advanced sampling techniques can be used to improve the planning of the forest inventories, even if there are many requirements. Our design
includes balanced sampling, highly stratified balanced sampling and
sample spreading through a two stage sample. The impact of these
techniques on the satisfaction of the requirements and on the precision
of survey estimates is investigated using field data from a Quebec
inventory.
   
Mots-clés Balanced sampling; Forest inventory; Spatially balanced sampling; Stratified sampling; Unequal probability sampling
   
Citation Vallée, A. A., Ferland-Raymond, B., Rivest, L. P., & Tillé, Y. (2015). Incorporating spatial and operational constraints in the sampling designs for forest inventories. Presented at Annual Meeting of the Statistical Society of Canada, Halifax, Canada.
   
Type Présentation (Anglais)
Date 15-6-2015
Evénement Annual Meeting of the Statistical Society of Canada (Halifax, Canada)