地理学报 ›› 2021, Vol. 76 ›› Issue (6): 1553-1569.doi: 10.11821/dlxb202106016

• 旅游地理 • 上一篇    下一篇

基于Voronoi模型的海南岛旅游资源集合体空间边界提取

张桐艳1,2(), 王英杰1,2(), 张生瑞3, 王莹莹4, 虞虎1,2,5, 王凯1   

  1. 1. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 100101
    2. 中国科学院大学,北京 100049
    3. 中国海洋大学管理学院,青岛 266100
    4. 山东农业大学资源与环境学院,泰安 271018
    5. 中国科学院区域可持续发展分析与模拟重点实验室,北京 100101
  • 收稿日期:2020-06-15 修回日期:2021-04-18 出版日期:2021-06-25 发布日期:2021-08-25
  • 通讯作者: 王英杰(1961-), 男, 陕西西安人, 研究员, 博士生导师, 研究方向为旅游GIS、地图制图学与地理信息系统、旅游资源开发与规划。E-mail: wangyj@igsnrr.ac.cn
  • 作者简介:张桐艳(1987-), 女, 新疆乌鲁木齐人, 博士生, 研究方向为旅游资源与地学信息图谱。E-mail: zhangtyan.17b@igsnrr.ac.cn
  • 基金资助:
    新世纪版《中华人民共和国国家大地图集》编研项目(2013FY112800);海南省旅游资源普查与规划信息库项目(2018Y88M2001AL)

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 Published:2021-06-25 Online:2021-08-25
  • 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)

摘要:

旅游资源是旅游业发展的物质条件,是开展各项旅游活动的载体和基础。旅游资源分类方法和评价理论研究已取得了较大的进展,但在旅游资源调查与规划实践中,以有研究通常将一个景区或大规模地理实体与小规模实体在同一个标准下衡量与对比,未考虑旅游资源的地理空间尺度特征。不同尺度的旅游地域空间,旅游资源评价、规划方法及其开发方向都不同。本文目的是通过梳理不同尺度旅游资源空间单元概念,对最难界定的集合体进行空间识别。基于集合体的概念认知,利用空间语义关系构建本体概念模型,提出了不同类型旅游资源集合体的空间边界提取方法。鉴于此,以海南岛为例进行实证研究,运用空间语义关系构建3种不同类型的旅游资源本体概念模型,在此基础上对不同类型旅游资源集合体进行条件约束判断,并利用泰森多边形与缓冲区分析方法对其进行空间识别。与规划范围结果对比发现,该方法可较好地近似表达旅游资源集合体空间边界及空间关系。每种类型的集合体空间语义关系存在树状层次结构,包含2个层次,空间形态呈多边形和带状分布。研究方法具有可操作性,能够为旅游规划与管理提供科学参考。

关键词: 旅游资源集合体, 空间边界, 空间关系, 语义关系, 本体, 海南岛

Abstract:

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