Examining The Role of Job by Geographically Weighted Poisson Regression in The Post-Migration Adaptation Process: The Case of Van

Abstract

Migration is a process of social change that involves the geographical relocation of people from one settlement to another, either permanently or temporarily, in order to spend all or part of their future lives. Van province is among the provinces receiving migration due to its geopolitical location and level of development. Migrant individuals need to adapt to that society in order to normalise their relations with the resident population over time. Individuals are in constant contact with the society due to the work done after migration, so it is thought that the work done has an important effect on the adaptation process. In this study, the effect of work on the post-migration adjustment process of individuals migrating from the first and second degree border neighbouring provinces of Van province was analysed using Poisson and Geographically Weighted Poisson Regression methods. The aim of the study is to determine the relationship between the contribution of work in the post-migration adjustment process and independent variables and to analyse which of the models used for the analysis gives stronger results. In the study, a face-to-face survey was conducted with 440 individuals and it was observed that the Geographically Weighted Poisson Regression method gave stronger results according to AIC, AICc and R^2 values. In addition, the effect and significance of the relationship between the dependent variable and independent variables according to provinces and districts are visualised and given with maps.