An accuracy of greater than or equal to 97% was achieved at the pixel level, whereas a minimum accuracy of 86% was achieved for the area-based calculations. The accuracy of these prediction maps was calculated at the pixel (20 x 20 m) level and at the area level (per ha). By repeating the same process for the eight species occurring in the study area, 31 volume maps were produced. The map used data from a total of 1050 circular sample plots. For each species and diameter class, one map of the predicted volume per ha was produced with the RST method. In this study of heterogeneously structured stand maps, the potential use of the regularized spline with tension (RST) interpolation method and of ELECTRE TRI MCDA was investigated. ![]() The spatial interpolation and multi-criteria decision analysis (MCDA) capabilities of geographic information systems have the potential to create new approaches to forest management.
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