Ecoregion-based height-diameter models were developed in the present study for Scots pine(Pinus sylves-tris L.)stands in Turkiye and included several ecological factors derived from a pre-existing ecoregional classifi...Ecoregion-based height-diameter models were developed in the present study for Scots pine(Pinus sylves-tris L.)stands in Turkiye and included several ecological factors derived from a pre-existing ecoregional classification system.The data were obtained from 2831 sample trees in 292 sample plots.Ten generalized height–diameter models were developed,and the best model(HD10)was selected according to statistical criteria.Then,nonlinear mixed-effects modeling was applied to the best model.The R2 for the generalized height‒diameter model(Richards function)modified by Sharma and Parton is 0.951,and the final model included number of trees,dominant height,and diameter at breast height,with a random parameter associated with each ecoregion attached to the inverse of the mean basal area.The full model predictions using the nonlinear mixed-effects model and the reduced model(HD10)predictions were compared using the nonlinear sum of extra squares test,which revealed significant differences between ecore-gions;ecoregion-based height–diameter models were thus found to be suitable to use.In addition,using these models in appropriate ecoregions was very important for achieving reliable predictions with low prediction errors.展开更多
为了消除三轴磁传感器自身的误差,针对其存在的偏移误差、灵敏度误差和非正交误差的特点,建立三轴磁传感器的误差校正模型,利用批量最小二乘拟合方法提出相应的磁传感器校正方法,不需要额外的加速计辅助即可对三轴磁传感器进行校正,并...为了消除三轴磁传感器自身的误差,针对其存在的偏移误差、灵敏度误差和非正交误差的特点,建立三轴磁传感器的误差校正模型,利用批量最小二乘拟合方法提出相应的磁传感器校正方法,不需要额外的加速计辅助即可对三轴磁传感器进行校正,并通过磁传感器的误差校正实验进行验证。校正实验结果表明,该三轴磁传感器校正后的均方根误差减小到103 n T,磁传感器的校正方法可以有效消除自身的误差,并且不需要其他辅助手段。展开更多
基金supported by Scientific Research Projects Management Coordinator of Kastamonu University,under grant number KÜ-BAP01/2019-41.
文摘Ecoregion-based height-diameter models were developed in the present study for Scots pine(Pinus sylves-tris L.)stands in Turkiye and included several ecological factors derived from a pre-existing ecoregional classification system.The data were obtained from 2831 sample trees in 292 sample plots.Ten generalized height–diameter models were developed,and the best model(HD10)was selected according to statistical criteria.Then,nonlinear mixed-effects modeling was applied to the best model.The R2 for the generalized height‒diameter model(Richards function)modified by Sharma and Parton is 0.951,and the final model included number of trees,dominant height,and diameter at breast height,with a random parameter associated with each ecoregion attached to the inverse of the mean basal area.The full model predictions using the nonlinear mixed-effects model and the reduced model(HD10)predictions were compared using the nonlinear sum of extra squares test,which revealed significant differences between ecore-gions;ecoregion-based height–diameter models were thus found to be suitable to use.In addition,using these models in appropriate ecoregions was very important for achieving reliable predictions with low prediction errors.
文摘为了消除三轴磁传感器自身的误差,针对其存在的偏移误差、灵敏度误差和非正交误差的特点,建立三轴磁传感器的误差校正模型,利用批量最小二乘拟合方法提出相应的磁传感器校正方法,不需要额外的加速计辅助即可对三轴磁传感器进行校正,并通过磁传感器的误差校正实验进行验证。校正实验结果表明,该三轴磁传感器校正后的均方根误差减小到103 n T,磁传感器的校正方法可以有效消除自身的误差,并且不需要其他辅助手段。
