Using Spatial Autocorrelation for identification of demographic patterns of Functional Urban Areas in Poland

Abstract Functional Urban Areas (FUAs) leads to a better knowledge of urban spatial organisation, which may play significant role in regional policy making and be helpful understanding the connection between urbanisation demographic development. An explanation population change regions can associated second transition comprising fertility decline below replacement level postponement births. The aim this paper is focus on establishing similarity patterns anomalous values selected variables cores peripheral areas Areas. At background study lies an assumption that development FUA's shaped by different factors connected with migrations. To achieve aims following characteristics were used: growth rate, dependency ratio, rate natural increase, net migration dynamic economic ageing index, Spatial methods increasingly important contemporary socio-demographic research. In order identify systems Global Moran Statistics Local Indicators Association (LISA) including statistics as well Getis-Ord Gi* used. research showed global local autocorrelation processes Poland, namely growth, ageing. use Moran's I statistic method has led identification clusters dispersions representing variables. useful analysis changes time. main contribution was application groupings techniques not only find out dissimilarity indicators but also apply findings for needs planning.