Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example

Taking the Hani Terraces as an example, this study explores the classification and value evaluation of ecotourism resources in agricultural and cultural heritage sites, applying clustering algorithms with the aim of revealing their ecological, economic and social values and promoting the sustainable...

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Main Authors: Jiang Tan, Wan Taiyin
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
Online Access:https://doi.org/10.2478/amns-2024-0660
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author Jiang Tan
Wan Taiyin
author_facet Jiang Tan
Wan Taiyin
author_sort Jiang Tan
collection DOAJ
description Taking the Hani Terraces as an example, this study explores the classification and value evaluation of ecotourism resources in agricultural and cultural heritage sites, applying clustering algorithms with the aim of revealing their ecological, economic and social values and promoting the sustainable development of heritage sites. The study establishes an evaluation system including economic benefits, sightseeing resources, agricultural resources and ecological resources, and applies the gray system theory and cluster analysis method. Through the expert scoring of 27 evaluation indicators, combined with the gray clustering algorithm, the ecotourism resources of Hani Terraces were classified and valued. The results show that the vast majority of indicators (15/27) are rated as excellent, 11 indicators are good, and only 1 indicator is medium. In addition, the research on 80 households showed that the villagers’ perceived index of heritage protection averaged 4.44, the perceived index of ecological problems averaged 3.22, and the perceived index of tourism development averaged 3.84. In summary, the ecotourism resources of Hani Terraces have significant value and the local residents have a positive attitude towards their protection and development.
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spelling doaj.art-8f8072a966e948f2a294a9d75891ba772024-03-04T07:30:43ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns-2024-0660Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an ExampleJiang Tan0Wan Taiyin11The College of Arts and Sciences. Kunming, Kunming, Yunnan, 650221, China.2Kunming Dianchi Water Treatment Co. LTD., Kunming, Yunnan, 650000, China.Taking the Hani Terraces as an example, this study explores the classification and value evaluation of ecotourism resources in agricultural and cultural heritage sites, applying clustering algorithms with the aim of revealing their ecological, economic and social values and promoting the sustainable development of heritage sites. The study establishes an evaluation system including economic benefits, sightseeing resources, agricultural resources and ecological resources, and applies the gray system theory and cluster analysis method. Through the expert scoring of 27 evaluation indicators, combined with the gray clustering algorithm, the ecotourism resources of Hani Terraces were classified and valued. The results show that the vast majority of indicators (15/27) are rated as excellent, 11 indicators are good, and only 1 indicator is medium. In addition, the research on 80 households showed that the villagers’ perceived index of heritage protection averaged 4.44, the perceived index of ecological problems averaged 3.22, and the perceived index of tourism development averaged 3.84. In summary, the ecotourism resources of Hani Terraces have significant value and the local residents have a positive attitude towards their protection and development.https://doi.org/10.2478/amns-2024-0660evaluation systemgray system theorycluster analysisgray clustering algorithm05c85
spellingShingle Jiang Tan
Wan Taiyin
Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
Applied Mathematics and Nonlinear Sciences
evaluation system
gray system theory
cluster analysis
gray clustering algorithm
05c85
title Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
title_full Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
title_fullStr Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
title_full_unstemmed Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
title_short Classification and Value Evaluation of Ecotourism Resources in Agricultural and Cultural Heritage Sites Based on Clustering Algorithm--Taking Hani Terraces Globally Important Agricultural and Cultural Heritage Site as an Example
title_sort classification and value evaluation of ecotourism resources in agricultural and cultural heritage sites based on clustering algorithm taking hani terraces globally important agricultural and cultural heritage site as an example
topic evaluation system
gray system theory
cluster analysis
gray clustering algorithm
05c85
url https://doi.org/10.2478/amns-2024-0660
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AT wantaiyin classificationandvalueevaluationofecotourismresourcesinagriculturalandculturalheritagesitesbasedonclusteringalgorithmtakinghaniterracesgloballyimportantagriculturalandculturalheritagesiteasanexample