Analysis of Van Province's Migration from Iran by Geographically Weighted Regression Method

Abstract

The ability of migrants to adapt to their new environment in a short period of time while establishing a new life is an important factor affecting the welfare of both individuals and societies. The process of adaptation can determine the quality of life of the individual, reflecting the migrant's ability to adapt socially, economically and culturally to their new environment. Adaptation in the new life after migration is usually associated with factors such as age, post-migration support from public institutions, postmigration support from relatives, post-migration support from neighbors, and inadequate educational opportunities. In this study, migration from Iran to Van province was analyzed using the geographically weighted regression (GWR) method. The analysis focused on identifying the factors that influence individuals' responses to the statement "I adapted to my new life in a short time after migration". According to the analysis results, it is observed that the GWR method gives stronger results. In comparison to the ordinary least squares (OLS) model, the GWR model demonstrates clear superiority across all evaluation criteria, indicating that the GWR model provides a substantially better fit to the data by capturing spatial variability more effectively.