The invention discloses a variation function model optimization method in forest site index spatial-temporal estimation. The method comprises the following steps of (1) establishing a reliable site index variation function model optimization method by utilizing a computer, thereby ensuring effective combination of fixation and quantification of variation function selection; (2) establishing a unified site index variation function multi-scale nested model expression form and a computer automatic parameter optimal fitting method by utilizing the computer, and realizing an expansion algorithm of a multi-scale nested model function in mainstream statistic software, thereby ensuring effective prediction of a spatial interpolation algorithm; and (3) establishing a site index spatial-temporal variation function model expression form by utilizing the computer, and realizing a Kriging spatial-temporal interpolation algorithm, thereby improving the precision and reliability of the spatial-temporal estimation. The artificial subjective factors can be effectively reduced; the site index anisotropy and multi-scale dependence can be effectively described; the effective prediction of the spatial interpolation algorithm can be ensured; and the precision and reliability of the spatial-temporal estimation are improved.
Variation function model optimization method in forest site index spatial-temporal estimation