2021Unpublished venueRequires access

Comparative Study on Spatial Distribution of 3A-level Scenic Villages and Farmerhouse Characteristic Villages in Zhejiang Province

Jianguo Zhang, Jian Jiang, Yang Ge, Sixiao He

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Abstract

By adopting the nearest neighbor index, Gini coefficient, Kernel density analysis, correlation analysis method and using ArcGIS and SPSS software, the spatial distribution and related influencing factors of Zhejiang 3A-level scenic villages and provincial-level farmerhouse characteristic villages are compared and the following findings are found:(1) From the comparison of spatial distribution types, both of them are cohesive on the whole, as shownby the fact that both types of villages are cohesively distributed in various prefecture-level cities and towns; (2) From the perspective of distribution equilibrium, 3A-level scenic villages are distributed relatively reasonably while the farmerhouse characteristic villages are distributed rather evenly; (3) From the analysis of nuclear density distribution, it’s found that for the farmerhouse characteristic villages, the Kernel density is more widely distributed and the areas with concentrated Kernel density are presented in “O” type. For 3A-level scenic villages, there is a “demarcation zone” in the south-central part of Zhejiang Province. There are more Kernel density concentration areas in the north of “demarcation zone”than in the south. Besides, the Kernel density distribution pattern of the double-title village is similar to that of the 3A-level scenic village. With the north of Lishui and Taizhou as the dividing line, there are more high density areas in the north than in the south; (4) From the analysison the distribution of two types of villages and the relevant influencing factors, we can see that: First, the two types of villages have a tendency to distribute along the piedmont plain of the main mountain ranges in Zhejiang province and the farmerhouse characteristic villages are closer to the mountain area; Second, the vast majority of the two types of villages are located near the highway network. In addition, both types of villages regard the city asan important reliance for their own development, and as for the specific location, they are close to Zhejiang prefecture-level cities. Finally, it can be seen that the higher overall economic development level of the local area has great appeal to the villages of the 3A-level scenic villages, The high-level development of regional tourism has a positive effect on the creation of both types of villages.

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What this paper is about

By adopting the nearest neighbor index, Gini coefficient, Kernel density analysis, correlation analysis method and using ArcGIS and SPSS software, the spatial distribution and related influencing factors of Zhejiang 3A-level scenic villages and provincial-level farmerhouse characteristic villages are compared and the following findings are found:(1) From the comparison of spatial distribution types, both of them are cohesive on the whole, as shownby the fact that both types of villages are cohesively distributed in various prefecture-level cities and towns; (2) From the perspective of distribution equilibrium, 3A-level scenic villages are distributed relatively reasonably while the farmerhouse characteristic villages are distributed rather evenly; (3) From the analysis of nuclear density distribution, it’s found that for the farmerhouse characteristic villages, the Kernel density is more widely distributed and the areas with concentrated Kernel density are presented in “O” type. For 3A-level scenic villages, there is a “demarcation zone” in the south-central part of Zhejiang Province. There are more Kernel density concentration areas in the north of “demarcation zone”than in the south. Besides, the Kernel density distribution pattern of the double-title village is similar to that of the 3A-level scenic village. With the north of Lishui and Taizhou as the dividing line, there are more high density areas in the north than in the south; (4) From the analysison the distribution of two types of villages and the relevant influencing factors, we can see that: First, the two types of villages have a tendency to distribute along the piedmont plain of the main mountain ranges in Zhejiang province and the farmerhouse characteristic villages are closer to the mountain area; Second, the vast majority of the two types of villages are located near the highway network. In addition, both types of villages regard the city asan important reliance for their own development, and as for the specific location, they are close to Zhejiang prefecture-level cities. Finally, it can be seen that the higher overall economic development level of the local area has great appeal to the villages of the 3A-level scenic villages, The high-level development of regional tourism has a positive effect on the creation of both types of villages.

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Available abstract

By adopting the nearest neighbor index, Gini coefficient, Kernel density analysis, correlation analysis method and using ArcGIS and SPSS software, the spatial distribution and related influencing factors of Zhejiang 3A-level scenic villages and provincial-level farmerhouse characteristic villages are compared and the following findings are found:(1) From the comparison of spatial distribution types, both of them are cohesive on the whole, as shownby the fact that both types of villages are cohesively distributed in various prefecture-level cities and towns; (2) From the perspective of distribution equilibrium, 3A-level scenic villages are distributed relatively reasonably while the farmerhouse characteristic villages are distributed rather evenly; (3) From the analysis of nuclear density distribution, it’s found that for the farmerhouse characteristic villages, the Kernel density is more widely distributed and the areas with concentrated Kernel density are presented in “O” type. For 3A-level scenic villages, there is a “demarcation zone” in the south-central part of Zhejiang Province. There are more Kernel density concentration areas in the north of “demarcation zone”than in the south. Besides, the Kernel density distribution pattern of the double-title village is similar to that of the 3A-level scenic village. With the north of Lishui and Taizhou as the dividing line, there are more high density areas in the north than in the south; (4) From the analysison the distribution of two types of villages and the relevant influencing factors, we can see that: First, the two types of villages have a tendency to distribute along the piedmont plain of the main mountain ranges in Zhejiang province and the farmerhouse characteristic villages are closer to the mountain area; Second, the vast majority of the two types of villages are located near the highway network. In addition, both types of villages regard the city asan important reliance for their own development, and as for the specific location, they are close to Zhejiang prefecture-level cities. Finally, it can be seen that the higher overall economic development level of the local area has great appeal to the villages of the 3A-level scenic villages, The high-level development of regional tourism has a positive effect on the creation of both types of villages.

Key concepts: Geography, Distribution (mathematics), Spatial distribution, Kernel density estimation, Gini coefficient, Physical geography, Statistics, Mathematics

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