- Year: 2004
- Author: Sabata, Cristina Rueda; Esteban, Pedro C. Alvarez; Iscar, Agustin Mayo; Diez, Ana Lopez
- Journal Name: Journal of Population Research
- Journal Number: Vol.21, No.1
- Country: Spain
Statistical methods of dimension reduction and classification are used to obtain homogeneous local-area clustering with regard to the most relevant demographic parameters. The dimension reduction is conducted in two stages using Principal Component Analysis and a modified k-mean procedure is proposed to determine the final clusters. This clustering will be useful in future demographic studies at a local level, in particular to obtain forecasts of demographic rates and population projections. The region of Castile and Leon in Spain is used to illustrate the method. A Poisson model is used to explore the advantages of the new clustering over the more conventional classification based on provinces.