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Research On Landscape Image And Aesthetic Emotion Of Mount Heng Based On Landscape Discourse Evaluation Theory

Posted on:2022-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:M TanFull Text:PDF
GTID:2492306338993039Subject:Landscape
Abstract/Summary:PDF Full Text Request
With the rapid development of the Internet,the number of users of the network is increasing,and the surge of network data provides data support for all walks of life and scientific research.Experts and scholars began to use the discourse of network text to evaluate landscape resources,and the reliability of their research has also been preliminarily verified.Hengshan scenic spot,as one of the five mountains,has high-quality scenic resources,but the related research on the use of network discourse is mainly focused on tourism,and less research is carried out from the perspective of scenic spot aesthetic.Based on the theory of landscape discourse evaluation,this paper uses Python to crawl the network comment data of Hengshan scenic spot,and then use the word frequency analysis and dependency syntax analysis to perceive the landscape image;Then,the LSTM network is used to analyze the aesthetic emotion of landscape by means of supervised machine learning,and the comprehensive evaluation of Hengshan landscape resources is carried out by IPA quadrant analysis.The main results are as follows:(1)Landscape imageThe perception of landscape morphology shows that Hengshan has received high attention to human resources and natural resources,among which,zhurong peak,mountain top,Nantianmen and other scenic spots as well as burning incense,sunrise,rime and other scenic elements are the most intense.The cognition of landscape image shows that Hengshan has a better overall image,and the public generally believes Hengshan is one of the five mountains in China and the holy land of China,and it is also "beautiful scenery";(2)Aesthetic mood of sceneryThe overall score of scenic spot aesthetic feeling is 8.53,and the evaluation is good.The aesthetic degree of natural scenic spots is 8.58,and that of humanistic scenic spots is 8.24;The aesthetic degree of natural landscape elements is 8.33,and that of human landscape elements is 8.08.We should strengthen the use and publicity of human landscape resources.The overall score of scenic spot satisfaction was 7.51,and the evaluation was in the middle.The public is quite satisfied with the price and service attitude.Among them,the satisfaction of price elements is the highest,the score is 7.74,the satisfaction of environmental quality is the lowest,and the score is 6.64.Therefore,attention should be paid to the maintenance of environment and the improvement of tour quality.(3)The degree and importance of landscape beauty have not changed regularly.Hengshan is lack of scenic spots and scenic elements with high aesthetic rating and strong sense of sexuality.The potential scenic types include:xuandu view,lingzhiquan,Fuyan temple and other scenic spots and scenic spots and historic sites;The types of scenery to improve quality include:zhurongfeng,mountaintop,Nantianmen and other scenic spots and elements of wind and other wind and other scenic elements.Satisfaction and importance are correlated.The management factors of high quality service include:scenic spot transportation,accommodation facilities,ticket price,etc;The service management elements of facilities are:health facilities,transportation price,etc.:the service management elements to be improved comprehensively include:guide system,congestion degree and scenic spot management.The research shows that it is feasible to use the network text to evaluate landscape discourse,the stability and effectiveness of the method are good,and the evaluation results are more accurate and intuitive to reflect the public’s landscape image and aesthetic emotion to Hengshan.Although there are some shortcomings,the theory and method of landscape discourse evaluation can be used as an effective supplement to the traditional research theory and method,and provide theoretical guidance for the construction and management of scenic spots.
Keywords/Search Tags:Hengshan Scenic Spot, Landscape Discourse Evaluation Theory, Landscape Resource, Python
PDF Full Text Request
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