Spatial Pattern Analysis of Tourism Resources in Hainan Island Based on Ripley's K Function

A quantitative analysis of Hainan Island's spatial structure was conducted based 10,260 tourism resources. This analysis focused on three aspects: type characteristics, scale, and spatial distribution. Various GIS spatial analysis methods, such as the nearest neighbor index, Ripley's K function for multi-distance spatial cluster analysis, and kernel density, were employed. The findings reveal that Hainan Island boasts abundant tourism resources, but there are significant variations in their types. The hierarchical scale structure of these resources resembles a pyramid, with fewer high-grade tourism resources and a larger number of low-grade ones. In terms spatial distribution, tourism resources are generally concentrated, and their distribution pattern varies with distance. The highest spatial concentration is observed at 30.5km. The northern region exhibits the highest density of tourism resources, while the northeast, central, and southern regions have relatively lower densities. Consequently, Hainan Island's tourism resource distribution forms multiple levels of hotspots. These research conclusions hold important reference and guiding significance for the further development and planning of Hainan's tourism industry.