@article{article_1457854, title={Spatial Analysis of Honey Yield by Province Based on Registered Honey Production Data: Exploring Spatial Patterns}, journal={Kocatepe Veterinary Journal}, volume={17}, pages={375–385}, year={2025}, DOI={10.30607/kvj.1457854}, author={Bayir, Tuba and Arslan, Emre and Inal, Seref}, keywords={Beekeeping, Honey, Spatial Autocorrelation, Spatial Pattern, Türkiye}, abstract={Throughout history, bees and their products have gained ever-increasing importance. Honey, valued for its diverse uses, has driven the emergence of new industries and products, fueled by the growing demand for beekeeping as a sustainable source of income. Providing spatial information is very important to ensure the sustainability of products. Therefore, this study aimed to reveal the spatial distribution of honey yield outputs in Türkiye using exploratory spatial data analyses. Honey yield outputs in four time periods (2005–2010; 2011–2016; 2017–2022; 2005–2022) were tested by autocorrelation analysis, and Moran’s I scatter plot was produced for each period. Standard Z statistics were found to be 4.1064, 3.1910, 2.1980 and 3.4427, respectively (p<0.05). Results showed that, it was observed that there are spatial associations and different spatial clusters in honey yield at the provincial level in Türkiye. It has been shown that honey yield in Türkiye tends to be partially clustered and production outputs tend to decrease in the east. This analysis implies several consequences for the sustainability of bee-based food production, including the potential for spillover effects from hot spot regions and the need to prioritize resource allocation towards these areas.}, number={4}, publisher={Afyon Kocatepe University}