Spatial and Temporal Distribution Characteristics of Flower-Viewing Tourism and Its Influencing Factors in China-Reference-Cited by-同舟云学术

Spatial and Temporal Distribution Characteristics of Flower-Viewing Tourism and Its Influencing Factors in China

Published:2022-06-23 Issue:4 Volume:13 Page:
ISSN:1674-764X
Container-title:Journal of Resources and Ecology
language:
Short-container-title:Journal of Resources and Ecology

Author:

Lu Wang¹,Linjie Zhou²,Chengcai Tang¹,Zhizhong Ning³

Affiliation:

1. 1. School of Tourism Sciences, Beijing International Studies University, Beijing 100024, China

2. 3. School of Economics and Management, Beijing Jiaotong University, Beijing 100091, China

3. 4. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of sciences, Beijing 100101, China

Publisher

Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,Environmental Engineering

Reference28 articles.

1. J F Wang and C D Xu "Acta Geographica Sinica." 72, "Geodetector: Principle and prospective." 116 (2017)

2. J Dai, X Gao, H Liu, "Journal of Chinese Ecotourism." 11, "Application basis and future perspectives of phenology in the theory and practice of tourism geography." 161 (2021)

3. Y L Ding and L Lu "Resource Development & Market." 22, "Current situation and potentiality of Chinese women's tourist market." 72 (2006)

4. D. Ebdon, "Statistics in geography." (1985)

5. L. He, "Northern Economy and Trade." "Thoughts on the development of flower appreciation economy." 255 (2014)

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