Analysis of Spatial Layout Influencing Factors in National Forest Tourism Villages: A Case Study of Liaoning Province
Abstract
:1. Introduction
1.1. Literature Review
1.2. Research Aim and Hypotheses
2. Materials and Methods
2.1. Study Area
2.2. Data Source and Processing
2.3. Research Methods
2.3.1. Nearest Proximity Index
2.3.2. Geographical Concentration Index
2.3.3. Imbalance Index
2.3.4. Kernel Density Estimation
2.3.5. Geographic Detector (Geodetector)
3. Overall Distribution and Characteristics of National Forest Villages in Liaoning Province
3.1. Distribution Type Results
3.2. Equilibrium of the Spatial Distribution
3.3. Kernel Density Analysis
4. Influencing Factors of the Spatial Distribution of Forest Villages in Liaoning Province
4.1. Selection of Influencing Factors
4.1.1. Natural Influencing Factors
4.1.2. Socio-Economic Factors
4.1.3. Forest and Rural Tourism Endowment
4.2. Analysis of Influencing Factors
4.3. Factor Interaction Analysis
5. Discussion and Conclusions
5.1. Discussion
5.2. Research Limitations
5.3. Future Research
5.4. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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No. | City Name | Number |
---|---|---|
1 | Shenyang | 2 |
2 | Dalian | 21 |
3 | Anshan | 1 |
4 | Fushun | 34 |
5 | Benxi | 12 |
6 | Dandong | 21 |
7 | Jinzhou | 0 |
8 | Yingkou | 0 |
9 | Fuxin | 4 |
10 | Liaoyang | 2 |
11 | Panjin | 0 |
12 | Tieling | 0 |
13 | Chaoyang | 26 |
14 | Huludao | 2 |
CITY | Number of Villages (Count) | Proportion (%) | Cumulative Proportion (%) | CITY | Number of Villages (Count) | Proportion (%) | Cumulative Proportion (%) |
---|---|---|---|---|---|---|---|
Fushun | 34 | 27.2 | 27.2 | Liaoyang | 2 | 1.6 | 97.6 |
Chaoyang | 26 | 20.8 | 48 | Huludao | 2 | 1.6 | 99.2 |
Dalian | 21 | 16.8 | 64.8 | Anshan | 1 | 0.8 | 100 |
Dandong | 21 | 16.8 | 81.6 | Jinzhou | 0 | 0 | 100 |
Benxi | 12 | 9.6 | 91.2 | Yingkou | 0 | 0 | 100 |
Fuxin | 4 | 3.2 | 94.4 | Panjin | 0 | 0 | 100 |
Shenyang | 2 | 1.6 | 96 | Tieling | 0 | 0 | 100 |
Elevation Range (m) | Number of Villages (Count) | Proportion (%) |
---|---|---|
<100 | 33 | 26.4 |
100~200 | 25 | 20 |
200~300 | 23 | 18.4 |
300~400 | 23 | 18.4 |
400~500 | 15 | 12 |
>500 | 4 | 3.2 |
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Qi, L.; Dong, J.; Yu, R. Analysis of Spatial Layout Influencing Factors in National Forest Tourism Villages: A Case Study of Liaoning Province. Land 2025, 14, 857. https://doi.org/10.3390/land14040857
Qi L, Dong J, Yu R. Analysis of Spatial Layout Influencing Factors in National Forest Tourism Villages: A Case Study of Liaoning Province. Land. 2025; 14(4):857. https://doi.org/10.3390/land14040857
Chicago/Turabian StyleQi, Lin, Jun Dong, and Rongrong Yu. 2025. "Analysis of Spatial Layout Influencing Factors in National Forest Tourism Villages: A Case Study of Liaoning Province" Land 14, no. 4: 857. https://doi.org/10.3390/land14040857
APA StyleQi, L., Dong, J., & Yu, R. (2025). Analysis of Spatial Layout Influencing Factors in National Forest Tourism Villages: A Case Study of Liaoning Province. Land, 14(4), 857. https://doi.org/10.3390/land14040857