A large-scale artificial forest tree population for sampling and estimation methods simulations

The dataset utilized in the Simulation Study section of the article is generated for a 10 km x 10 km area. This artificial dataset is constructed by populating polygons with trees sourced from the NFI database, representing the stands of the associated Vosges polygon. The aim is to create a sizable dataset that closely resembles a real forest by incorporating authentic information. As the Vosges dataset consists of a set of polygons, the artificial dataset is formed using voronoi polygons, each randomly linked to a Vosges dataset polygon. The Vosges dataset contributes basal area information to the voronoi polygons. These voronoi polygons are then filled with trees from the NFI database, corresponding to the stands of the Vosges polygon.

This version expands the dataset to include all trees within the full 10 × 10 km study area. The dataset comprises 1,174,227 trees, each described by attributes including its coordinates, circumference measured at 130 cm height, total height, volume, species, and status (dead or alive). In addition, the inclusion radius corresponding to a fixed area of 500m² is defined for each tree, along with its corresponding inclusion area.