Biomass population dynamics predictive parsing worldwide general key factor presupposing array platform

Abstract

The invention discloses a biomass population dynamics predictive parsing worldwide general key factor presupposing array platform. Mass of standard environment factor arrays are preset, the world population dynamic prediction users select content fit for own country or local areas to construct an accurate specified area and specific biological population dynamics statistical prediction model through an Internet user registration system in real time, accurate quantitative forecast is conducted on related biological future trends conveniently, each preset datum is positioned by row variable coordinates and column variable coordinates, each positioned independent datum cannot transpose with one another, the row variable coordinates serve as time coordinates, and the column variable coordinates serve as space coordinates. The problems that in current life population prediction an effective prediction models of a plurality of important biological population cannot be constructed, or the prediction effect of the constructed models is poor, or the application range is narrow due to the fact that users cannot obtain enough effective environment information quantity are solved.

Description

technical field [0001] The invention belongs to the field of dynamic prediction of natural life groups, and in particular relates to a pre-set array platform of global key factors for dynamic prediction and analysis of biological populations. Background technique [0002] There are currently three major problems in life population prediction: [0003] (1) The predicted value is outlier, resulting in poor prediction effect. In the past, when people performed biological population prediction analysis, there were always some predicted values ​​that were far from the measured values ​​(that is, the predicted values ​​were outliers), resulting in poor prediction results. [0004] (2) The amount of environmental information is insufficient, resulting in the inability to build an effective model. In the past, people tended to only pay attention to the correlation between the same period and nearby things, while ignoring the correlation between the past and distant things, which m...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a global key factor preset array platform for the dynamic prediction and analysis of biological populations, aiming to solve the outlier prediction values ​​currently existing in the life population prediction science, resulting in poor prediction effect and insufficient environmental information , leading to the inability to build an effective model; often doing single factor or few factor analysis, resulting in poor timeliness of the built model

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