GEOGRAPHICAL META-ANALYSIS AND ITS FEATURES

Geographical meta-analysis is a methodology for combining the results of studies of various territorial objects of different types of locations by means of logical, mathematical and statistical analysis to justify and test scientific hypotheses. Meta-analytical generalizations are based on a non-statistical approach of comparative geographical research with a transition from initial heterogeneous data sets to homogeneous data that can be statistically processed. The meta-analysis methodology is developed on a meta-theoretical basis from the standpoint of the system stratification (fibering, bundling) of the earth's reality on the manifold of the geographical environment. Locally, the same qualimetric equations for data integration and generalization describes processes and phenomena, so each situation is reduced to the properties of a typical layer (fiber) and universal equations on the connection of variables. Features of using geographical meta-analysis methods are considered on the examples of the spread of COVID-19 coronavirus diseases across countries, seasonal development of taiga nature, and gradient analysis of the factor influence on the distribution of mountain geosystems of various types (geomes). In order to compress information, we use methods for calculating integral indicators and other means of excluding influence from the environment. The revealed regularities do not depend on individual values of factors and conditions that influence the processes and relationships between the characteristics of the state of natural and socio-economic systems. They represent dependencies in a refined form.