@article{article_928734, title={EXAMINING SPATIAL VARIABILITY IN THE ASSOCIATION BETWEEN SOME FACTORS AND NUMBER OF PRISONERS IN TURKEY: A GWR ANALYSIS}, journal={Mugla Journal of Science and Technology}, volume={7}, pages={141–148}, year={2021}, DOI={10.22531/muglajsci.928734}, author={Yüzbaşı, Bahadır and Görür, Çetin}, keywords={Geographic Weighted Regression, Multiple Linear Regression, Akaike}, abstract={The crime phenomenon requires an economic as well as a sociological analysis in terms of its occurrence, its causes and its consequences. In this study, the effects of socio-economic factors on crime were investigated by using Multiple Linear Regression and Geographical Weighted Regression Methods. The aim of the study is to analyze the factors that have an effect on crime, as well as to analyze which of the regression methods used gives more effective results. Method comparisons were made using R square and Akaike’s Information Criterion. As a result of the analysis, it was seen that the Geographic Weighted Regression gave more effective results than the Multiple Linear Regression. In the study, Turkey’s 81 provinces were included in the analysis and used the data of the year 2019. The number of prisoners is dependent variable, migration, literacy rate and unemployment rate are independent variables. The data used in this study are taken from the official web address Turkey Statistical Institute. Analyzes were made using the statistical R program.}, number={1}, publisher={Mugla Sitki Kocman University}