Spatial analysis of the relationship between tourist attractions and tourist flows in Turkey

This study is intended to examine the relationship between tourist attractions (natural, cultural and historical) flows. In study, secondary data for six provinces 110 sub-provinces in Southwestern Anatolia region of Turkey, visited by local foreign tourists, are used. Four these have a coastline Aegean Sea Mediterranean. this context, overnight tourists printed online materials used identify attractions. mapping analysis, global Moran’s I, classical regression spatial models benefited. Primarily, spillover through maps distribution flows presented study. When examined, results our analyses show that Global I value 0.25 those could be similar terms flow. It was determined whether there clustering based on value, then clusters, is, flow, were using spectral method. addition, neighborhood interactions flow indicators analysis (LISA) alongside Spectral Clustering Method. Finally, field, cultural, historical, natural explained model model. The spatial-based models, especially SEM, improve performance compared corresponding OLS conclusion, it found positive correlation historical region, but negative Destination management implications discussed.