A spatial sampling network design method for soil organic carbon considering the non-stationary characteristics of spatio-temporal distribution
A spatio-temporal distribution and spatial sampling technology, applied in design optimization/simulation, calculation, calculation model, etc., can solve the problems of inability to accurately describe the continuous non-stationary characteristics of time and space, neglect of time-varying characteristics, etc., to achieve super optimization ability, improve Investigate the effect of precision, rapid convergence and optimization capabilities
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[0079] 1. Extract and integrate the basic data of soil organic carbon sampling network design in a certain area. The integrated data is the 10-year sequence attribute information of each geospatial grid unit.
[0080] 2. Taking the geographic grid unit as the basic unit, the spatial-temporal regression method was used to analyze the regression of the soil organic carbon value of each unit and the land use and cover type, elevation, slope aspect, slope position and surface relief at different time nodes. Relationship, establish the space-time regression equation. The regression equation was used to calculate the estimated soil organic carbon value of the geographic grid unit, and the difference between the value and the real value was obtained to obtain the regression residual error of the soil conditional spatiotemporal regression.
[0081] 3. Establish the covariance model of soil organic carbon spatio-temporal variation, and set κ according to the variation coefficient of so...
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