Spatial Heterogeneity of Socioeconomic Data: Multiscale Approach and GeneralizationстатьяИсследовательская статья
Статья опубликована в журнале из списка RSCI Web of Science
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Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 18 мая 2022 г.
Аннотация:The paper discusses the features of applying multiscale approach in studies of spatial heterogeneity.We analyze socioeconomic indicators for different scales of spatial organization in Russia: municipalities,regions (federal subjects), and economic areas (‘economicheskiy rayon’). It is established that more discretelevels of subdivisions, in accordance with statistics theory, have higher levels of heterogeneity. Based on ourcalculations, we demonstrate that the evaluation of heterogeneity indices for the same territories when applying different grids is combined with partial distortion of these indices. Such errors are explained by the continuity of the geographical space and the failure tos unambiguously determine the true geographical boundaries. We propose a generalization coefficient, a proportion of heterogeneity indices at different scale levels,which enables to assess multiscale spatial heterogeneity. The coefficient provides a means of distinguishingscale levels with the greatest diversity of territories. In addition, this coefficient can be used to differentiatebetween ‘statistical’ heterogeneity, which is explained by the number of elements in a system, and ‘actual’(geographical) heterogeneity. A case study of estimating heterogeneity for E.E. Leizerovich’s microzoninggrid revealed that the ‘actual’ heterogeneity level can be significantly lower than the one, evaluated using traditional calculations. We provide examples of practical use for the coefficient, e.g., it enables to assess thevalidity of typologies and elaborate more detailed projections for discrete grids (so called ‘small areas’).