A method for automatic update of forest management decision support model

Abstract

The invention discloses an automatic update method for a forest operating decision support model. The method comprises the following steps: acquiring latest sample plot investigation data, introducing into a sample plot data sheet, and updating the data update data in the data sheet to the date of introduction of the sample plot investigation data; if record of a model update date is unavailable in a schedule or a recorded model update date is earlier than the data update date, updating the model update date in the schedule according to a current date; reading a model independent variable and a model dependent variable in the sample plot data sheet according to the types of data in the sample plot investigation data, performing model fitting on model prototypes in a model selection table by using a regression method to obtain the parameters and relevant coefficients of each model, and updating the parameters and relevant coefficients of each model prototype in the model selection table; and selecting a model prototype with a largest correlation coefficient and parameters thereof from the model selection table, constructing a model expression according to the model prototype and parameters thereof, and updating a corresponding model expression in the model table.

Description

Technical field [0001] The invention relates to the field of forestry, in particular to a method for automatically updating a forest management decision support model. Background technique [0002] The model in the forest resource management decision support system needs to be refitted or reselected as the accumulated modeling data increases to improve the accuracy of the decision. The current technology is to artificially judge whether the modeling data has changed, and if there is a change, then determine whether the model needs to be refitted or reselected. If it is determined that the model needs to be re-fitted or re-selected, professionals need to use statistical software tools to use the changed modeling data to re-fit to analyze whether the model has changed. Once it is determined that the model has changed, a professional programmer is required to re-fit The system source program can be modified and compiled to complete the model modification, or the model and parameter...

AI Technical Summary

Problems solved by technology

The prior art model update lags behind, the operation is cumbersome, and requires professionals to carry out, and the cost is high. In view of these problems, no research and reports related to the present invention have been found in this field after consulting relevant materials, and the present invention is proposed accordingly

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