Technological Education Institute of Crete, Greece
Christos Ap. LADIAS
University of Central Greece
University of Central Greece and
Technological Education Institute of Lamia, Greece.
The prediction to the extent possible of the future size of the population of a region and its distribution among the settlements of the region is evidently significant for regional planning. In this paper, deriving data from population censuses, we attempted to predict the population of alpine, semi-alpine and lowland settlements of the Epirus Region. To perform the prediction, we applied a modified version of the shift and share method. In addition to applying the method, we evaluated its predictive ability in relation to a) the fixed share method, b) the fixed magnifications share method and c) the classical shift and share method, suggesting the relevant statistical tests.