Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China

Yuan, Dan; Wu, Runhan; Li, Dong; Zhu, Lei; Pan, Yaguang

doi:10.3390/su15086563

Cited by 12 publications

(8 citation statements)

References 24 publications

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“…The Nearest Neighbor Index (NNI) effectively reflects the spatial distribution characteristics of point-like elements [22][23][24]. To analyze campsites at the Yellow River basin level, we approximate them as point-like targets and evaluate their spatial distribution using the NNI.…”

Section: Nearest Neighbor Indexmentioning

confidence: 99%

Study on the Spatial Layout and Influencing Factors of Campsites in the Yellow River Basin

Fang,

Tai,

Jiang

2024

Sustainability

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Based on the camping sites in the Yellow River Basin published by Amap, this study examines the spatial distribution pattern of camping sites using various indices, including the average nearest neighbor index, geographical concentration index, disequilibrium index, and kernel density estimation. The research findings are as follows: (1) Camping sites exhibit a highly significant agglomeration distribution, and the spatial scale presents a non-equilibrium characteristic of “east dense west sparse”. The distribution density of camping sites shows clear hot and cold spots, forming a general pattern of “one belt, one mass, two points”. The locations of these camping sites commonly follow the rule of “backing mountains, along roads, and accompanied by scenery”. (2) The spatial distribution of camping sites is influenced by both natural factors, such as elevation and air quality, and social factors, such as highway mileage and the number of high-level scenic spots. The impact of social factors is found to be more substantial than that of natural environmental factors.

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Section: Nearest Neighbor Indexmentioning

confidence: 99%

Study on the Spatial Layout and Influencing Factors of Campsites in the Yellow River Basin

Fang,

Tai,

Jiang

2024

Sustainability

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“…Nearest proximity is an indicator describing the proximity of point-like elements to each other in geographic space (Yuan et al, 2023). In the case of monasteries and gardens, they can be abstracted as point-like elements of three types: discrete, random and clustered (Zharikov et al, 2005).…”

Section: Nearest Neighbour Indexmentioning

confidence: 99%

A GIS-based study on the spatial distribution and influencing factors of monastic gardens in Jiangxi Province, China

Zhang,

Hu,

Lei

et al. 2023

Front. Environ. Sci.

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The temple gardens are an important human landscape and have an important position in the Chinese garden system. Using GIS analysis tools, primarily the Nearest Neighbor Index, Kernel Density Estimation, and Spatial Autocorrelation, and employing a Geographic Detector model, we analyzed the spatial distribution characteristics and influencing factors of 4,317 temples and gardens in Jiangxi Province. Research shows that: 1) The spatial distribution type of temple gardens in Jiangxi Province is agglomeration type, with large spatial differences in distribution, forming a spatial distribution pattern of “generally dispersed and concentrated in some areas”; 2) the distribution of temple gardens in Jiangxi Province is uneven. They are mostly distributed in five prefecture-level cities: Ganzhou, Jiujiang, Shangrao, Fuzhou, and Nanchang; 3) The overall spatial distribution of temple gardens in Jiangxi Province has positive autocorrelation characteristics, and prefecture-level cities have significant proximity characteristics, forming a “high-high” “agglomeration” and “low-low agglomeration” distribution patterns; 4) Temple gardens in various regions are affected by geomorphological factors, and are mostly concentrated in the lower altitude range of 0–500 m and the gentle slope of 0°–30°. Most of the distribution density of temple gardens in various prefecture-level cities is within the buffer zone distance of the road network within the range of 0–1.5 km. 5) Economic, cultural, demographic, and historical factors have affected the development of temple gardens. Areas with more active economies have a denser number of temple gardens. The unique regional culture affects the distribution of temples and gardens in different regions. In places where the modern population is densely distributed, there are fewer temples and gardens, while in places where the population is less densely distributed, there are more temples and gardens. 6) The use of geographical detectors to detect influencing factors shows that the greatest impact on the spatial distribution of temple gardens in Jiangxi Province is the road network, followed by elevation, slope, GDP, and water systems. The research is conducive to scientific understanding of the distribution of temple gardens among prefecture-level cities in Jiangxi Province, and provides reference for strengthening the protection of temple gardens and exploring the tourism characteristics of temple gardens.

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“…These systems play a significant role in the efficacy and effectiveness of ecosystem and biodiversity conservation, attracting interdisciplinary research interest [20][21][22]. The distribution pattern of NWPs is typically a function of ecoregions, which are influenced by the interaction of natural and human factors such as hydrologic conditions, unique ecosystems, water administrative management policy, and urbanization level [23][24][25]. From the perspectives of ecology and water-related professions, ecological footprint, ecosystem services, and their evolutionary processes are essential to waterfront management, which can direct ecology restoration and ecological flow allocation [26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Accessibility Evaluation of National Water Parks in China

Zhang

et al. 2023

Sustainability

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A water park is a nature-based site along a river or water management project that plays a vital role in protecting the local ecological system and providing water recreation, making it an essential component of China’s ecological and ecotourism security strategy. This study sought to portray the distribution of China’s 878 National Water Parks (NWPs) and to visualize the pattern of accessibility for NWP resources by the gravity-2SFCA method. The investigation produced the following findings: (1) The national-scale pattern of ecotourism and water recreation can be revealed by the distribution of NWPs, which were concentrated on the eastern side of the “Hu Line” but were dispersed on the western side. (2) NWPs can function as detectors of various endowment and management modes of basin-scaled water resources through the relationship between different categories of NWPs and their locations, which can provide guidance for regional planners. (3) The accessibility of NWPs is an effective indicator for revealing spatial disparity between the supply of NWP resources and the population distribution. Then, the general NWP development strategy can be made based on a hot-spot visualization analysis of accessibility patterns.

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Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China

Cited by 12 publications

References 24 publications

Study on the Spatial Layout and Influencing Factors of Campsites in the Yellow River Basin

Study on the Spatial Layout and Influencing Factors of Campsites in the Yellow River Basin

A GIS-based study on the spatial distribution and influencing factors of monastic gardens in Jiangxi Province, China

Spatial Distribution and Accessibility Evaluation of National Water Parks in China

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