基于GIS与地理探测器的旅游地空间分布格局及驱动力分析——以贵州为例

doi:10.13249/j.cnki.sgs.2022.05.010

地理科学 ›› 2022, Vol. 42 ›› Issue (5): 841-850.doi: 10.13249/j.cnki.sgs.2022.05.010

• 青藏高原环境变化与人类活动专栏 • 上一篇下一篇

基于GIS与地理探测器的旅游地空间分布格局及驱动力分析——以贵州为例

吴克华¹^,²(), 苏维词¹, 贾真真¹^,², 王慧澄¹^,², 叶仕安¹^,², 罗时琴¹^,²

1.贵州科学院贵州省山地资源研究所，贵州贵阳 550001
2.贵州省喀斯特洞穴（旅游）资源开发利用工程技术研究中心，贵州贵阳 550001

收稿日期:2021-08-06 修回日期:2021-10-29 接受日期:2022-04-10 出版日期:2022-05-10 发布日期:2022-07-11
作者简介:吴克华（1979−），男，侗族，贵州天柱人，副研究员，主要从事喀斯特地貌与洞穴以及旅游地理研究。E-mail: kehuakarst@163.com
基金资助:
国家“十三五”重点研发计划课题(2016YFC0502606);贵州省科技计划项目([2021]一般379);贵州省2016年度高层次创新人才项目([2016]21);贵州科学院创新人才团队能力提升工程资助([2019]08)

Spatial Distribution Pattern and Driving Force of Tourist Destinations in Guizhou Province Based on GIS and Geodetector

Wu Kehua¹^,²(), Su Weici¹, Jia Zhenzhen¹^,², Wang Huicheng¹^,², Ye Shian¹^,², Luo Shiqin¹^,²

1. Institute of Mountain Resources, Guizhou Academy of Sciences, Guiyang 550001, Guizhou, China
2. Guizhou Karst Cave (Tourism) Resource Development and Utilization Engineering and Technology Research Center, Guiyang 550001, Guizhou, China

Received:2021-08-06 Revised:2021-10-29 Accepted:2022-04-10 Online:2022-05-10 Published:2022-07-11
Supported by:
The National Key Research and Development Program of the Thirteenth in China(2016YFC0502606);Guizhou Science and Technology Plan([2021]一般379);2016 High-Level Innovative Talents Project in Guizhou Province([2016]21);Innovation Talent Team Capability Improvement Project of Guizhou Academy of Sciences([2019]08)

摘要/Abstract

摘要：

以贵州旅游地空间数据为基础，运用平均最邻近、地理探测器等方法，研究贵州1990—2018年4个时间截面旅游地空间格局，分析该时期旅游重心演化进程，探讨旅游地与地理环境、社会经济要素间关系并开展驱动力分析。结果表明：① 4个时期旅游地均为凝聚状态分布，总体呈现点、团向面状、带状聚集转变；② 全省旅游收入演化比客流量演化更为敏感和剧烈，二者均以经向变幅为主导，且呈现西部比重大于东部的态势；③ 旅游地在海拔高程垂向上表现为近似正态分布，碳酸盐岩类区旅游地资源多为自然类景点、碎屑岩类区主要表现为民族文化类景点的聚集分布，断层线5 km缓冲区范围内分布90%左右的旅游地、其空间展布总体与断层线走向吻合，三叠、寒武及二叠地层是旅游地的主要分布区，旅游地沿省道特征分布明显；④ 全省旅游地分布主要受旅游地到河流沟谷距离、县级行政中心距离、高速公路直线距离、陆上交通路网密度、高速公路路网密度、断层线距离、河流沟谷密度等7项因子驱动；而距河流沟谷、距县级行政中心、距高速公路直线距离以及交通路网密度水平等因子的组合效应集中控制了当前贵州旅游地空间分布的总体格局。

关键词: 旅游地, 空间分布格局, 驱动力, 贵州

Abstract:

Based on the spatial data of tourist destinations in Guizhou, the analysis methods including mean nearest-neighbor distance, geodetector method, etc. are adopted to research the spatial distribution characteristics of tourist destinations in four time sections of Guizhou from 1990 to 2018, and analyze the evolution process of key tourist destinations in these periods. It also discusses the relationship between the spatial distribution of tourism destination and the geographical environment, social and economic factors, and further carries out the driving force analysis. The results show that: 1) In the four periods, tourist destinations are distributed in a condensed state, showing the transition from point-clump aggregation to planar and zonal aggregation. 2) The evolution process of tourism revenue is more sensitive and intense than that of total tourist flow in the whole province. Both of them are dominated by longitude variation, and present the trend that the proportion of the west is larger than that of the east. 3) The vertical distribution of tourist destinations in the whole province is approximately normal; The tourist resources in carbonate rocks are mostly natural attractions, while where in clastic rocks is mainly the aggregate distribution of ethnic minority attractions; The number of tourist destinations distributed in the 5 km buffer zone of the fault line is about 90%, and its spatial distribution is basically consistent with the strike of the fault line; The Triassic, Cambrian and Permian strata are the main distribution areas of tourist destinations; The tourist destinations are obviously distributed along the provincial road. 4) The distribution of tourist destinations in the whole province is mainly driven by seven factors including the distance from tourist destinations to river valleys, the distance from county-level administrative centers, the straight-line distance of expressways, the density of land transportation network, the density of expressway network, the distance from fault lines, and the density of river valleys; The combination of the factors that the distance from river valleys, the distance from county-level administrative centers, the straight-line distance from expressways, and the density level of transportation network, controls centrally the overall pattern of spatial distribution of tourism destinations in Guizhou.

Key words: tourist destination, spatial distribution pattern, driving force, Guizhou Province

中图分类号:

F592.99

吴克华, 苏维词, 贾真真, 王慧澄, 叶仕安, 罗时琴. 基于GIS与地理探测器的旅游地空间分布格局及驱动力分析——以贵州为例[J]. 地理科学, 2022, 42(5): 841-850.

Wu Kehua, Su Weici, Jia Zhenzhen, Wang Huicheng, Ye Shian, Luo Shiqin. Spatial Distribution Pattern and Driving Force of Tourist Destinations in Guizhou Province Based on GIS and Geodetector[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(5): 841-850.

图/表 6

图1

表1

图2

图3

图4

图5

参考文献 46

[1]	张城铭, 翁时秀, 保继刚. 1978年改革开放以来中国旅游业发展的地理格局[J]. 地理学报, 2019, 74(10): 1980-2000.
	Zhang Chengming, Weng Shixiu, Bao Jigang. The geographical pattern of China’s tourism development since the reform and opening-up in 1978. Acta Geographica Sinica, 2019, 74(10): 1980-2000.
[2]	贵州省统计局,国家统计局贵州调查总队.贵州统计年鉴(2020)[M].北京:中国统计出版社,2020:318-326.
	Guizhou Bureau of Statistics,Guizhou Investigation Team of National Bureau of Statistics.Statistical yearbook of Guizhou Province in 2020.Beijing: China Statistics Press,2020:318-326.
[3]	保继刚, 楚义芳. 旅游地理学[M]. 北京: 高等教育出版社, 2012: 2-5.
	Bao Jigang, Chu Yifang. Tourism geography. Beijing: Higher Education Press, 2012: 2-5.
[4]	朱竑, 陈晓亮. 中国A级旅游景区空间分布结构研究[J]. 地理科学, 2008, 25(5): 607-615. doi: 10.3969/j.issn.1000-0690.2008.05.004
	Zhu Hong, Chen Xiaoliang. Space distribution structure of A-grade scenic spot in China. Scientia Geographica Sinica, 2008, 25(5): 607-615. doi: 10.3969/j.issn.1000-0690.2008.05.004
[5]	Wolfe R I. Summer cottagers in Ontario[J]. Economic Geography, 1951, 27(1): 10-32. doi: 10.2307/141807
[6]	汪德根, 陆林, 陈田, 等. 基于点−轴理论的旅游地系统空间结构演变研究——以呼伦贝尔阿尔山旅游区为例[J]. 经济地理, 2005, 15(6): 904-909. doi: 10.3969/j.issn.1000-8462.2005.06.035
	Wang Degen, Lu Lin, Chen Tian et al. A study on the evolement of resort system spatial structure of the pole-axis theory—A case of tourism region of Hu lun beir-Aershan. Economic Geography, 2005, 15(6): 904-909. doi: 10.3969/j.issn.1000-8462.2005.06.035
[7]	郭向阳, 明庆忠, 吴建丽, 等. 云南省区域旅游空间结构演变研究[J]. 山地学报, 2017, 35(1): 78-84.
	Guo Xiangyang, Ming Qingzhong, Wu Jianli et al. Spatial structure evolution of regional tourism in Yunnan Province. Mountain Research, 2017, 35(1): 78-84.
[8]	郭向阳, 穆学青, 明庆忠, 等. 旅游地快速交通优势度与旅游流强度的空间耦合分析[J]. 地理研究, 2019, 38(5): 1119-1135. doi: 10.11821/dlyj020181347
	Guo Xiangyang, Mu Xueqing, Ming Qingzhong et al. Spatial coupling between rapid traffic superiority degree and tourist flow intensity in tourist destinations. Geographical Research, 2019, 38(5): 1119-1135. doi: 10.11821/dlyj020181347
[9]	Yin Ping, Lin Zhibin, Prideaux B. The impact of high-speedrailway on tourism spatial structures between two adjoinin gmetropolitan cities in China: Beijing and Tianjin[J]. Journal of Transport Geography, 2019, 80: 1-9.
[10]	刘法建, 张捷, 陈冬冬. 中国入境旅游流网络结构特征及动因研究[J]. 地理学报, 2010, 65(8): 1013-1024. doi: 10.11821/xb201008012
	Liu Fajian, Zhang Jie, Chen Dongdong. The characteristics and dynamical factors of Chinese inbound tourist flow network. Acta Geographica Sinica, 2010, 65(8): 1013-1024. doi: 10.11821/xb201008012
[11]	王新越, 芦雪静. 中国旅游产业集聚空间格局演变及其对旅游经济的影响——基于专业化与多样化集聚视角[J]. 地理科学, 2020, 40(7): 1160-1170.
	Wang Xinyue, Lu Xuejing. Evolution of China’s tourism industry agglomeration spatial pattern and its impact on tourism economy based on specialization and diversification agglomeration perspective. Scientia Geographica Sinica, 2020, 40(7): 1160-1170.
[12]	王兆峰, 刘庆芳. 中国省域旅游效率空间网络结构演化及其影响因素[J]. 地理科学, 2021, 41(3): 397-406.
	Wang Zhaofeng, Liu Qingfang. The evolution and influencing factors of spatial network structure of China’s provincial tourism efficiency. Scientia Geographica Sinica, 2021, 41(3): 397-406.
[13]	毛小岗, 宋金平, 于伟. 北京市A级旅游景区空间结构及其演化[J]. 经济地理, 2011, 31(8): 1381-1386.
	Mao Xiaogang, Song Jinping, Yu Wei. Space structure and its evolution of A-grade tourist attractions in Beijing. Economic Geography, 2011, 31(8): 1381-1386.
[14]	陈晓, 王丹, 张耀光, 等. 辽宁省旅游经济的时空差异演变分析[J]. 经济地理, 2009, 29(1): 147-152.
	Chen Xiao, Wang Dan, Zhang Yaoguang et al. The evolution analysis to the space-time difference of Liaoning Province tourism economy. Economic Geography, 2009, 29(1): 147-152.
[15]	李在军, 管卫华, 蒲英霞, 等. 山东省旅游经济的时空演变格局探究[J]. 经济地理, 2013, 33(7): 176-181.
	Li Zaijun, Guan Weihua, Pu Yingxia et al. Exploration on the tourism economy spatio-temporal patternin Shandong Province. Economic Geography, 2013, 33(7): 176-181.
[16]	王新越, 候娟娟. 山东省乡村休闲旅游地的空间分布特征及影响因素[J]. 地理科学, 2016, 36(11): 1706-1714.
	Wang Xinyue, Hou Juanjuan. Spatial distribution features and influence factors of rural leisure tourism destinations in Shandong Province. Scientia Geographica Sinica, 2016, 36(11): 1706-1714.
[17]	程晓丽, 黄国萍. 安徽省旅游空间结构演变及优化[J]. 人文地理, 2012, 128(6): 145-150.
	Chen Xiaoli, Huang Guoping. Evolution and optimization of spatial structure of Anhui tourism. Human Geography, 2012, 128(6): 145-150.
[18]	马仁锋, 倪欣欣, 张文忠, 等. 浙江旅游经济时空差异的多尺度研究[J]. 经济地理, 2015, 35(7): 176-182.
	Ma Renfeng, Ni Xinxin, Zhang Wenzhong et al. A multi-scale research on tourism economic spatial-temporal difference in Zhejiang Province. Economic Geography, 2015, 35(7): 176-182.
[19]	徐春红, 丁镭, 董鸿安, 等. 浙江省旅游业发展与经济增长关系的时空格局及影响机理[J]. 旅游科学, 2017, 31(5): 82-95.
	Xu Chunhong, Ding Lei, Dong Hongan et al. On the spatiotemporal distribution pattern and impact mechanism of the relationship between tourism dependency and economic growth in Zhejiang Province. Tourism Science, 2017, 31(5): 82-95.
[20]	吴丽敏, 黄震方, 周玮, 等. 江苏省A级旅游景区时空演变特征及其动力机制[J]. 经济地理, 2013, 33(8): 158-164.
	Wu Limin, Huang Zhenfang, Zhou Wei et al. The spatiotemporal evolution and dynamic mechanism of A-grade tourist attractions in Jiangsu Province. Economic Geography, 2013, 33(8): 158-164.
[21]	李涛, 陶卓民, 李在军, 等. 基于GIS技术的江苏省乡村旅游景点类型与时空特征研究[J]. 经济地理, 2014, 34(11): 179-184.
	Li Tao, Tao Zhuomin, Li Zaijun et al. The research on types and time-spatial structure of rural tourism attractions in Jiangsu Province based on GIS. Economic Geography, 2014, 34(11): 179-184.
[22]	陈志军. 区域旅游空间结构演化模式分析——以江西省为例[J]. 旅游学刊, 2008, 23(11): 35-41. doi: 10.3969/j.issn.1002-5006.2008.11.011
	Chen Zhijun. An analysis of evolutionary spatial structure models of regional tourism—A case tudy of Jiangxi Province. Tourism Tribune, 2008, 23(11): 35-41. doi: 10.3969/j.issn.1002-5006.2008.11.011
[23]	王雪逸, 胥兴安. 云南省乡村旅游空间格局发展研究[J]. 云南农业大学学报(社会科学版), 2013, 7(2): 22-27.
	Wang Xueyi, Xu Xing'an. Research on the development of rural tourism spatial layout in Yunnan Province. Journal of Yunnan Agricultural University (Social Sciences), 2013, 7(2): 22-27.
[24]	黄晓园, 王永成, 宋子亮, 等. 云南旅游景区空间格局演变及驱动力研究[J]. 西南林业大学学报(社会科学版), 2018, 2(1): 101-106.
	Huang Xiaoyuan, Wang Yongcheng, Song Ziliang et al. Evolution and driving force of spatial patternof scenic spots in Yunnan. Journal of Southwest Forestry University (Social Sciences), 2018, 2(1): 101-106.
[25]	史春云, 张捷, 尤海梅, 等. 四川省旅游区域核心−边缘空间格局演变[J]. 地理学报, 2007, 62(7): 631-639.
	Shi Chunyun, Zhang Jie, You Haimei et al. Core-periphery spatial structure and its evolution of tourism region in Sichuan Province. Acta Geographica Sinica, 2007, 62(7): 631-639.
[26]	陈祥瑞. 建省办特区以来海南岛旅游目的地空间结构演变研究[D]. 海口: 海南大学, 2013.
	Chen Xiangrui. Research on the tourism destination space structure evolvement of Hainan from 1988. Haikou: Hainan University, 2013.
[27]	何赢. 高铁影响下京津冀区域旅游空间结构演变研究[D]. 北京: 北京交通大学, 2016.
	He Ying. Tourism spatial structure evolution of capital region based on high-speed railway. Beijing: Beijing Jiaotong University, 2016.
[28]	陈浩, 陆林, 郑嬗婷. 珠江三角洲城市群旅游空间格局演化[J]. 地理学报, 2011, 66(10): 1427-1437. doi: 10.11821/xb201110012
	Chen Hao, Lu lin, Zheng Shanting. The tourism spatial pattern evolution of the Pearl River Delta. Acta Geographica Sinica, 2011, 66(10): 1427-1437. doi: 10.11821/xb201110012
[29]	陆林, 鲍捷, 凌善金, 等. 桂林−漓江−阳朔旅游地系统空间演化模式及机制研究[J]. 地理科学, 2012, 32(9): 1066-1074.
	Lu Lin, Bao Jie, Ling Shanjin et al. The evolution progress and mechanism of Guilin-Lijiang River-Yangshuo tourism destination system. Scientia Geographic Sinica, 2012, 32(9): 1066-1074.
[30]	孙晓, 刘力钢, 陈金. 东北三省旅游经济质量的区域差异、动态演进及影响因素[J]. 地理科学, 2021, 41(5): 832-841.
	Sun Xiao, Liu Ligang, Chen Jin. Regional differences, dynamic evolution and influencing factors of the quality of tourism economy in Northeast China. Scientia Geographica Sinica, 2021, 41(5): 832-841.
[31]	刘康, 王坤, 李宸. 贵州省乡村旅游地空间分布、阶段演进及其发展路径研究[J]. 贵州大学学报, 2019, 36(5): 119-124.
	Liu Kang, Wang Kun, Li Chen. Study on the spatial distribution, stage evolution and development path of rural tourism destinations in Guizhou Province. Journal of Guizhou University (Natural Sciences), 2019, 36(5): 119-124.
[32]	谢志华, 吴必虎. 中国资源型景区旅游空间结构研究[J]. 地理科学, 2008, 28(6): 748-753. doi: 10.3969/j.issn.1000-0690.2008.06.006
	Xie Zhihua, Wu Bihu. Tourism spatial structure of resources-based attractions in China. Scientia Geographica Sinica, 2008, 28(6): 748-753. doi: 10.3969/j.issn.1000-0690.2008.06.006
[33]	毕丽芳, 马耀峰, 高楠. 国内旅游空间结构研究进展[J]. 资源开发与市场, 2012, 28(3): 270-273. doi: 10.3969/j.issn.1005-8141.2012.03.023
	Bi Lifang, Ma Yaofeng, Gao Nan. A review of domestic research on tourism spatial structure. Resource Development & Market, 2012, 28(3): 270-273. doi: 10.3969/j.issn.1005-8141.2012.03.023
[34]	黄金火, 吴必虎. 区域旅游系统空间结构的模式与优化——以西安地区为例[J]. 地理科学进展, 2005, 24(1): 116-126. doi: 10.3969/j.issn.1007-6301.2005.01.013
	Huang Jinhuo, Wu Bihu. The spatial structure of regional tourism system: Its model and optimization—A case study of Xi’an. Progress in Geography, 2005, 24(1): 116-126. doi: 10.3969/j.issn.1007-6301.2005.01.013
[35]	麻学锋, 何颖怡. 张家界旅游产业生成空间时空格局演化与机制研究[J]. 地理科学, 2016, 36(12): 1894-1902.
	Ma Xuefeng, He Yingyi. Spatio-temporal evolution characteristics and mechanism of tourism industry generation of Zhangjiajie City. Scientia Geographica Sinica, 2016, 36(12): 1894-1902.
[36]	王劲峰, 廖一兰, 刘鑫. 空间数据分析教程[M]. 北京: 科学出版社, 2010: 76-77.
	Wang Jinfeng, Liao Yilan, Liu Xin. Spatial data analysis tutorial. Beijing: Science Press, 2010: 76-77.
[37]	朱求安, 张万昌, 赵登忠, 等. 基于PRISM和泰森多边形的地形要素日降水量空间插值研究[J]. 地理科学, 2005, 25(2): 233-238. doi: 10.3969/j.issn.1000-0690.2005.02.017
	Zhu Qiuan, Zhang Wanchang, Zhao Dengzhong et al. Topography-based spatial daily precipitation interpolation by means of PRISM and Thiessen polygon analysis. Scientia Geographica Sinica, 2005, 25(2): 233-238. doi: 10.3969/j.issn.1000-0690.2005.02.017
[38]	曾红伟, 李丽娟. 澜沧江及周边流域TRMM 3B43 数据精度检验[J]. 地理学报, 2011, 66(7): 994-1004. doi: 10.11821/xb201107012
	Zeng Hongwei, Li Lijuan. Accuracy validation of TRMM 3B43 Data in Lancang River Basin. Acta Geographica Sinica, 2011, 66(7): 994-1004. doi: 10.11821/xb201107012
[39]	刘晓菲, 张朝, 帅嘉冰, 等. 黑龙江省冷害对水稻产量的影响[J]. 地理学报, 2012, 67(9): 1223-1232. doi: 10.11821/xb201209007
	Liu Xiaofei, Zhang Zhao, Shuai Jiabing et al. Effect of chilling injury on rice yield in Heilongjiang Province. Acta Geographica Sinica, 2012, 67(9): 1223-1232. doi: 10.11821/xb201209007
[40]	邓敏, 刘启亮, 李光强, 等. 空间聚类分析及应用[M]. 北京: 科学出版社, 2011: 18-19.
	Deng Min, Liu Qiliang, Li Guangqiang et al. Spatial clustering analysis and its application. Beijing: Science Press, 2011: 18-19.
[41]	王劲峰, 葛咏, 李连发, 等. 地理学时空数据分析方法[J]. 地理学报, 2014, 69(9): 1326-1345. doi: 10.11821/dlxb201409007
	Wang Jinfeng, Ge Yong, Li Lianfa et al. Geographic spatiotemporal data analysis methods. Acta Geographica Sinica, 2014, 69(9): 1326-1345. doi: 10.11821/dlxb201409007
[42]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
[43]	Duyckaerts C, Godefroy G. Voronoi tessellation to study the numerical density and the spatial distribution of neurons[J]. Journal of Chemical Neuroanatomy, 2000, 20: 83-92. doi: 10.1016/S0891-0618(00)00064-8
[44]	高道德, 张世从, 毕坤, 等. 黔南岩溶研究[M]. 贵阳: 贵州人民出版社, 1986: 1-2.
	Gao Daode, Zhang Shicong, Bi Kun et al. Karst research in southern Guizhou. Guiyang: Guizhou People’s Publishing House, 1986: 1-2.
[45]	杨大欢. 贵州从江南加逆冲断层系的基本特征及其意义[J]. 贵州地质, 2003, 20(2): 80-82. doi: 10.3969/j.issn.1000-5943.2003.02.005
	Yang Dahuan. Elemental characteristic of Nanjia overthrust system, Congjiang, Guizhou and its geological significance. Guizhou Geology, 2003, 20(2): 80-82. doi: 10.3969/j.issn.1000-5943.2003.02.005
[46]	孟凡涛, 杨元丽. 贵州省剑河温泉水化学特征及形成机制浅析[J]. 中国矿业, 2015, 24(7): 58-77. doi: 10.3969/j.issn.1004-4051.2015.07.014
	Meng Fantao, Yang Yuanli. Hydrochemical characteristics and formation mechanism of Jianhe hot spring in Guizhou. China Mining Magazine, 2015, 24(7): 58-77. doi: 10.3969/j.issn.1004-4051.2015.07.014

时间段	Voronoi多边形面积标准差S/m²	Voronoi多边形面积平均值旅游景点期望平均距离M/m²	变异系数 C_V/%	空间分布状态
1990年	750787995	865957149	86.70	集群分布
2000年	512970525	535942991	95.71	集群分布
2010年	272241563	303205412	89.79	集群分布
2018年	198465470	212756455	93.28	集群分布

基于GIS与地理探测器的旅游地空间分布格局及驱动力分析——以贵州为例

Spatial Distribution Pattern and Driving Force of Tourist Destinations in Guizhou Province Based on GIS and Geodetector

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 46

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	李丹, 周嘉, 战大庆. 黑龙江省耕地时空变化及驱动因素分析[J]. 地理科学, 2021, 41(7): 1266-1275.
[2]	王群, 杨万明, 朱跃, 杨兴柱. 贫困区旅游地社会-生态系统恢复力时空分异研究——以安徽境内大别山区12个贫困县（市）为例[J]. 地理科学, 2021, 41(6): 1030-1038.
[3]	朱跃, 杨兴柱, 杨周, 郑义刚, 杨万明, 顾寒月. 主体功能视角下皖南旅游区乡村多功能演化特征与影响机制[J]. 地理科学, 2021, 41(5): 815-823.
[4]	吴偲, 朱竑, 李军. 粤港澳大学生的美展感知及地方感影响差异：基于多群组结构方程模型分析[J]. 地理科学, 2021, 41(4): 645-655.
[5]	李龙, 杨效忠. 廊道型乡村旅游地农户生计资本评价与空间格局特征——以大别山国家风景道为例[J]. 地理科学, 2021, 41(2): 340-349.
[6]	贺祥. 生态系统服务供给安全阈值视域下喀斯特地区生态安全演变[J]. 地理科学, 2021, 41(11): 2021-2030.
[7]	田里, 刘亮. 旅游孤岛效应演化机理研究——以云南普者黑旅游区为例[J]. 地理科学, 2021, 41(1): 22-32.
[8]	程豪, 杨钊. 从大众旅游到乡村旅居:乡村区域旅游发展的新趋势——基于元方法的驱动力分析与旅居地假设[J]. 地理科学, 2021, 41(1): 83-91.
[9]	郑龙飞, 顾伟男, 龙奋杰, 张苏. 不同流视角下的贵州省空间网络结构及形成机制分析[J]. 地理科学, 2020, 40(6): 939-947.
[10]	苏飞, 莫潇杭, 童磊, 郑珂, 曹轶蓉. 旅游地社会-生态系统适应性研究进展[J]. 地理科学, 2020, 40(2): 280-288.
[11]	麻学锋, 刘玉林, 谭佳欣. 旅游驱动的乡村振兴实践及发展路径[J]. 地理科学, 2020, 40(12): 2019-2026.
[12]	王文辉, 白冰, 张茵. 相对剥夺视角下的乡村旅游地居民不规范行为研究——以江西婺源县李坑、思溪为例[J]. 地理科学, 2019, 39(11): 1814-1821.
[13]	李阳兵, 陈会, 罗光杰. 贵州不同规模等级坝子空间分布特征研究[J]. 地理科学, 2019, 39(11): 1830-1840.
[14]	傅声雷,傅伯杰. 生态地理学概念界定及其经典案例分析[J]. 地理科学, 2019, 39(1): 70-79.
[15]	祁洪玲, 刘继生, 梅林. 国内外旅游地生命周期理论研究进展[J]. 地理科学, 2018, 38(2): 264-271.