Geosystem approach in the development of methods and algorithms for the analysis of spatial data

Abstract

Geosystem approach in the development of methods and algorithms for the analysis of spatial data

Yamashkin S.A., Yamashkin A.A., Zarubin O.A., Kiryushin A.V.

Incoming article date: 01.10.2022

The article presents a study aimed at developing methods and algorithms for analyzing spatial data for diagnosing the state of geosystems. It is shown that the combination of machine learning models into an ensemble makes it possible to increase the stability of the analyzing system: the accuracy of decisions made by the ensemble tends to tend to the accuracy of the most efficient monoclassifier of the system. The calculation and consolidation of territorial descriptors at the same time make it possible to reduce the dimensionality of the analyzed data, facilitate the allowable capacity of the machine learning model, increase its resistance to overfitting, and prevent a significant decrease in the classification accuracy within the framework of a specific problem being solved.

Keywords: metageosystems, spatial data, test sites, territorial descriptors, ensembles