Zastosowanie autokorelacji przestrzennej w badaniach migracji wewnętrznych
The use of spatial autocorrelation in the study of internal migration

Summary/Abstract: Spatial redistribution of the population in Poland results in migration outflow from some units and migration inflow to others. The uneaven spatial distribution of this process results in different migration characteristics of communes in Poland. In the literature this issue has often been the subject of research and works in this area were based on traditional research methods, based on statistical data analysis. In the paper below the author describes the possibilities of conducting migration studies using spatial autocorrelation methods. The commonly used coefficients of migration turnover and migration efficiency were analysed using Moran’s global and local I statistics. The results obtained by the author lead to the conclusion that the application of spatial autocorrelation tools allows for a new perspective in the study of internal migration, making it possible to determine the spatial distribution of the phenomenon under study in spatial units, taking into account the situation in neighbouring units. The analysis with the use of spatial autocorrelation tools may replace or supplement the research methods used so far, mainly with regard to indicating clusters of high and low values of a given variable, which allows to identify clusters of a specific migration character. It also allows to unambiguously determine whether the similarity of municipalities in terms of migration behaviour is statistically significant or random. Additionally, the juxtaposition of the results with the conclusions drawn from the literature search also allowed for comparison with traditional methods of studying migration processes.

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