We expect the imputation map will be valuable for several regional forest studies and that the approach could be successfully used in other regions.
Thus, the trade-off between the imputation accuracy and imputation efficiency needs to be considered.
The performance of the imputation approaches depends on the consistency between the imputation and analysis models [ 38], the more compatible these models are the better the imputation methods will perform.
Validation results suggest strong agreement between the estimates produced from the forest inventory plots and those from the imputed maps, particularly when the C pool is closely associated with the imputation model (e.g., aboveground live biomass and live tree basal area), with weaker agreement for detrital pools (e.g., standing dead trees).
Nearest-neighbor imputation maps, maps developed from multivariate imputation of field plots, have high potential for use as the initial condition within FLMs, but the tendency for field plots to be imputed over large geographical distances can result in species being mapped outside of their home ranges, which is problematic.
Iotchkova, V. et al. Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps.
The strength was that the imputation based on the same map enabled a direct comparison of results across studies.
20 The percentage difference between no imputation and the imputation with the full model is 9.2% with a p value of 0.0000.
Much similarity was found between the multiple imputation method and a traditional mixed model analysis, except that some estimates from the multiple imputation method seemed more logical in their effects on the parameter measured.
The RMSE differed between the two imputation methods, but only slightly and only for the regression coefficient β2: The RMSE was.037 for the single imputation method and.032 for the nested imputation method.
