Acta Geographica Sinica ›› 2021, Vol. 76 ›› Issue (6): 1553-1569.doi: 10.11821/dlxb202106016

• Tourism Geography • Previous Articles     Next Articles

Extracting the spatial boundary of tourism resource aggregation in Hainan Island based on the Voronoi model

ZHANG Tongyan1,2(), WANG Yingjie1,2(), ZHANG Shengrui3, WANG Yingying4, YU Huboundary1,2,5, WANG Kai1   

  1. 1. State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. College of Management, Ocean University of China, Qingdao 266100, Shandong, China
    4. College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, Shandong, China
    5. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2020-06-15 Revised:2021-04-18 Online:2021-06-25 Published:2021-08-25
  • Contact: WANG Yingying;
  • Supported by:
    "Atlas of the People's Republic of China (New Century Edition)" Research(2013FY112800);The Project of Hainan Province Tourism Resources Survey and Planning Information(2018Y88M2001AL)


Tourism resources are the material condition for tourism development and the carrier and foundation of various tourism activities. In the last few years, great progress has been made in classification methods and evaluation theories for tourism resources. However, in the investigation and planning of tourism resources, scenic areas or large-scale geographic entities and small-scale entities are usually measured and compared under the same standard, without considering the spatial scale of tourism resources. For different scales of tourism geographic entities, the evaluation and planning of tourism resources are conducted using different methods. This paper proposes to identify the aggregation of tourism resources by grooming spatial units of tourism resources with different scales. Based on the concept cognition of tourism resource aggregation, we constructed an ontological model by establishing the spatial semantic relation and proposed a method to extract the spatial extent of tourism resource aggregation and classify its types. We chose Hainan Island as a case study to conduct empirical studies, construct three different types of tourism resource ontology using spatial semantics, and investigate spatial recognition in tourism resource aggregation using the Tyson polygon and buffer analysis methods. The results show that the approach can be widely applied to approximate the spatial boundary and relation of tourism resource aggregation, and the spatial semantic relationship of each type of aggregation is characterized by a tree-like hierarchical structure consisting of two levels, namely, polygonal and band-shaped spatial shapes. The spatial structure belongs to a composite landscape, which is mostly represented by the combination of mountains and water or mountains, water and biological landscape. This research method can provide a scientific basis for tourism planning and management.

Key words: tourism resource aggregation, spatial boundary, spatial relation, semantic relation, ontology, Hainan Island