Spatial statistics and Gravity models with an application to the analysis of migration flows in Catalonia using 2019 data

Abstract

[en] The aim of this work is to examine spatial statistics fundamentals and to study three different types of models used for flux migration forecasting: gravity models, radiation models and deep gravity models. The attention is drawn on Gaussian random fields, stationarity, kriging, Gaussian autoregression models and Markov random fields. Four gravity models, their respective four multi-linear regression models and a radiation model are implemented, all pulling the same data, to forecast migration flows within Catalonia (Spain) in 2019 between comarques by using data from these locations.