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| 园地定级中复杂地貌区位作用分的优化算法研究——基于最小费用路径模型 |
| Optimization algorithm for the classification of complex landform location in garden grading：based on the least-cost path model |
| Received:December 29, 2023 |
| DOI：10.13254/j.jare.2023.0840 |
| 中文关键词: 自然资源定级，园地，最小费用路径模型，复杂地貌，太谷区 |
| 英文关键词: natural resource gradation, garden, least-cost path model, complex landform, Taigu District |
| 基金项目:太谷区农用地定级估价技术合作项目（2022HX219） |
| Author Name | Affiliation | E-mail | | HU Houfeng | College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China | | | GUO Yonglong | College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China
Yangquan Planning and Natural Resources Bureau, Yangquan 045000, China | golden21c@163.com | | WANG Jin | College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China | | | LIU Huifang | College of Resources and Environment, Shanxi Agricultural University, Jinzhong 030801, China | |
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| 中文摘要: |
| 为提高园地定级中区位作用分的计算精度，本研究基于最小费用路径（LCP）模型探索一种适用于复杂地貌的区位作用分算法。首先提出一种基于栅格的LCP模型，该模型考虑水域、铁路、高速三类地理阻隔，通过差异化设定各地类单位通勤时间耗费，并结合表征地形起伏的DEM数据，模拟仿真现实交通情况，以计算源栅格单元到各个栅格单元的累计最小通勤时间耗费来表征区位优劣度；其次将该算法应用于园地定级区位因素计算，并与最小累计阻力（MCR）模型区位要素的计算结果进行对比分析，实证LCP模型的实践优越性。结果表明：LCP模型能够有效绕过水域、铁路、高速等地理阻隔，并基于各地类差异化通勤费用及DEM高程数据，计算复杂地貌间的区位要素作用分。MCR模型区位作用分结果空间分布形态更加平滑、理想，空间分异性弱，LCP模型的区位作用分计算结果在地貌类型交界区以及山谷地区有明显的区位优劣度对比，空间分异性更强。与MCR模型的区位作用分计算结果相比，LCP模型计算结果的值域扩大了9.01，方差也显著增加了23.49，平均值下降了5.25，空间分异性更强，优化表征了实际区位优劣度。研究表明，LCP模型可以为园地等自然资源在复杂地貌条件下的定级工作提供有效技术支撑。 |
| 英文摘要: |
| The study explored an algorithm for assessing location effects suitable for complex terrain conditions, based on the least-cost path（LCP）model to improve the accuracy of location effect assessments in garden grading. A grid-based LCP model was proposed, considering geographical barriers such as water bodies, railways, and highways. Differentiated commuting time consumption for various land use types, combined with DEM data was used to calculate cumulative least commuting time consumption from the source grid unit to each grid unit to characterize location superiority and inferiority. The algorithm was then applied to study the calculation of location factors for park grading and compared with the results of the MCR model to demonstrate the practical superiority of the LCP model. Results showed that the LCP model effectively bypasses geographical barriers and calculates the role of location elements between complex landforms based on differentiated commuting costs and DEM elevation data. The spatial distribution pattern of the MCR model's location effect score was smoother, whereas the LCP model showed a clear comparison of location advantages and disadvantages in the border areas of landform types and valley areas, with stronger spatial differentiation. Compared with the MCR model, the LCP model's calculation results indicated an expanded value range of 9.01, a significantly increased variance of 23.49, and an average value decrease of 5.25, suggesting stronger spatial differentiation and more accurate reflection of actual location superiority and inferiority. The least-cost path model can provide effective technical support for grading natural resources such as garden under complex terrain conditions. |
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