A method and device for analyzing suitability of base pond tourism land based on open network data

Abstract

The present invention discloses a method and device for analyzing the suitability of a base pond for tourism based on open network data, wherein the method comprises: forming an overall evaluation index system; obtaining the suitability level corresponding to each evaluation index system; performing suitability level evaluation processing on the base pond area to be evaluated to obtain a suitability level evaluation result; fusing the suitability level evaluation results corresponding to each evaluation index system in the base pond area to be evaluated to obtain a first suitability evaluation result for tourism land; performing a suitability evaluation processing on the microblog check-in point for tourism land in the base pond area to be evaluated to obtain a second suitability evaluation result for tourism land; superimposing and analyzing the first suitability evaluation result for tourism land with the second suitability evaluation result for tourism land to obtain a suitability analysis result for tourism land. In the embodiment of the present invention, substantial suggestions can be provided for the development of a base pond land in a certain place into tourism land.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a method and device for analyzing suitability of a base pond for tourism use based on network open data. Background Art

[0002] Existing tourism site selection research has transitioned from qualitative to quantitative analysis, evaluating the suitability of tourism land from different aspects. In order to prevent the excessive development of tourist resorts due to lack of sufficient investigation of the site selection area, resulting in a large amount of idle land resources, or the failure of development or damage to resources and the environment due to insufficient analysis of the requirements and impacts on resource conditions, Chinese and foreign scholars have conducted in-depth research on the site selection of tourism land.

[0003] Smith Stephen believes that the site selection of tourism land should be studied from at least five aspects, including the marketing strategy of investors, the social characteristics of the market area, the economic characteristics of the market area, the traffic characteristics of the market area, and the natural conditions of the selected location (Smith, 1992; Smith, 1983). The Urban Land Institute of the United States believes that the key to the site selection of tourism land lies in market potential, and the environment, accessibility and price are its key considerations. In terms of environment, aesthetics and climate are mainly considered, in terms of accessibility, the opportunities for development and the convenience of facilities are mainly considered, and in terms of price, it is mainly a realistic funding issue (Urban Land Institute of the United States). Therefore, in the site selection research of tourism land, indicators are mostly selected from the three aspects of nature, market and society (John Swarbrook, 2001). In terms of natural factors, scholars have also considered many aspects, such as climate, water source, topography, slope, slope direction, etc. R Machete et al. (2014) reviewed the climate and tourists' preferences for evaluating tourism in Lisbon, evaluated the suitability of summer tourism activities, and proposed a climate-tourism model to estimate the impact of climate change on tourists, which shows the importance of climate to tourist destinations. XY Fei et al. (2009) selected ecology, society, landscape and existing park layout to conduct a site selection study for parks in Zaozhuang, Shandong. According to the site selection conditions, combined with mountain information, water system information, park layout information and road system information, the site selection results of parks in the study area were obtained, providing reasonable options for urban planning. Gao Jun et al. (2009) took Qixian Lake in Nankun Mountain, Guangdong as an example, and conducted an evaluation study from four aspects: slope, slope aspect, landscape and transportation. Combined with the actual situation of the study area, the landscape was divided into three influencing factors: landscape layer, water width and total field of view. The site selection study of Qixian Lake Scenic Resort was realized, verifying the practicality and feasibility of the idea. Wang et al. (2014) and others studied the site selection of cruise ports in East Asia from the perspective of attracting more cruise ships and tourists, including cruise terminal facilities, natural environment, tourism attraction, connectivity and agility, as well as 14 indicators such as berthing facilities, terminal climate, important historical attractions, and convenience of accommodation and entertainment. In terms of market factors, the regional economic level, source market, facility conditions, and tourism status of the destination are considered. Inskeep E (2012) believes that the site selection study of tourism land should consider ten aspects, including whether the destination is located near tourist attractions, whether it has corresponding climatic conditions, whether the surrounding environment is attractive, whether there is enough land available for development, whether it has good transportation conditions, whether infrastructure such as water, electricity, and sewage are available, whether there is enough buffer zone near the destination to ensure cleanliness within the scope, whether it is within the corresponding planning and management, whether local residents support it, and whether there is sufficient labor.Ran Qunchao (2002) believed that in the study of the site selection of tourism land, nature, market and society are three key influencing factors, among which natural factors include the study of aesthetic characteristics, water source conditions, climate, topography and other resource factors, market factors include factors that determine tourism development such as customer source conditions, facility conditions, potential markets, and social factors include land costs, human resources, policy conditions and other human factors. Taking the Shenguixia tourism project in Qianjiang District, Chongqing as an example, the influence of these three aspects on the site selection of tourism projects was discussed. Liu Jiaming et al. (2001) summarized the literature and believed that the location selection of tourism land should be carried out from two aspects: resource conditions and location conditions. It should be as far as possible in areas with rich resources, convenient transportation, developed economy and sustainable development. In terms of social factors, scholars mainly considered factors such as social and cultural conditions, urban tourism perception, and attitudes of local people. Guan et al. (2013) believed that marketing strategies, economic characteristics of the market, transportation characteristics, natural conditions of the location, historical and cultural background, cultural landscape, government decision-making behavior and residents' attitudes have a great influence on the site selection of tourist resorts. Meng Rui et al. (2005) took the rural tourism areas around Kunming as an example. Starting from the characteristic background of rural tourism, they selected three macro factors: the travel capacity of the city, the convenience of transportation, and the location of the tourist area, as well as two micro factors: the degree of concentration and shielding of the tourist area, and the surrounding environment of the tourist area. They also discussed the factors affecting the site selection of rural tourism in combination with policy factors and tourists' preferences. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a method and device for analyzing the suitability of a base pond for tourism based on open network data, which can provide substantial suggestions for the development of a base pond for tourism.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for analyzing the suitability of a base pond for tourism use based on open network data, the method comprising:

[0006] Obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system;

[0007] Obtaining the suitability level corresponding to each evaluation index system based on the overall evaluation index system;

[0008] Based on the suitability level corresponding to each evaluation index system, the suitability level evaluation process is performed on the base pond area to be evaluated, and the suitability level evaluation result corresponding to each evaluation index system in the base pond area to be evaluated is obtained;

[0009] Based on the weight ratio corresponding to each evaluation index system, the suitability level evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated to obtain the first tourism land suitability evaluation result of the base pond area to be evaluated;

[0010] Obtaining the Weibo check-in points of the area to be evaluated, and performing a tourism land suitability evaluation process on the Weibo check-in points of the base pond area to be evaluated, to obtain a second tourism land suitability evaluation result of the base pond area to be evaluated;

[0011] The first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0012] Optionally, obtaining the land use situation of the base pond area to be evaluated and forming an overall evaluation index system includes:

[0013] The land utilization conditions of the base pond in the base pond area to be evaluated were obtained, and 9 evaluation indicators in three aspects were selected in combination with the "Outline of Land Evaluation" to form an overall evaluation indicator system.

[0014] Optionally, obtaining the suitability level corresponding to each evaluation index system based on the overall evaluation index system includes:

[0015] Based on the evaluation index system combined with the one-vote veto method and the suitability index method, the suitability of each evaluation index system for the development and construction of the base pond tourism land is analyzed and calculated, and the corresponding suitability level is evaluated to obtain the suitability level corresponding to each evaluation index system;

[0016] Among them, the suitability levels include highly suitable, moderately suitable, low suitable, and unsuitable.

[0017] Optionally, the suitability level evaluation process for the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system includes:

[0018] The land plots in the base pond land use status map of the base pond area to be evaluated are used as evaluation units, and the suitability level evaluation process is performed using the evaluation method of the suitability level corresponding to each evaluation index system.

[0019] Optionally, based on the weight ratio corresponding to each evaluation index system, the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated, including:

[0020] Based on the hierarchical analysis method, each evaluation index system in the overall evaluation index system is weighted to obtain the weight ratio corresponding to each evaluation index system;

[0021] Based on the weight ratio corresponding to each evaluation index system, the raster calculator tool is used in the attribute database of ArcGIS software to fuse the suitability grade evaluation results corresponding to each evaluation index system in the evaluated base pond area.

[0022] Optionally, the calculation model formula of the fusion processing is as follows:

[0023] S=W1*U1+W2*U2+…+W i *U i ;

[0024] Among them, S represents the evaluation score; W represents the weight ratio; U represents the normalized value of the suitability level evaluation result; W i Indicates the weight ratio corresponding to the i-th evaluation index system; U i Represents the normalized value of the evaluation result of the i-th suitability level.

[0025] Optionally, the processing of evaluating the suitability of tourism land for the base pond area to be evaluated for the Weibo check-in point includes:

[0026] Importing the microblog check-in points into ArcGIS software, and performing global Moran's I analysis in ArcGIS software to obtain spatial autocorrelated information of the microblog check-in points;

[0027] Using the hotspot analysis tool in ArcGIS software to optimize the hotspot analysis processing of the Weibo check-in points, and obtain the clustering characteristics of the Weibo check-in points in spatial statistics;

[0028] After the Weibo check-in point is transformed and projected, the density value is calculated using the kernel density analysis in ArcMap to obtain the kernel density value of the Weibo check-in point;

[0029] The kernel density values ​​of the Weibo check-in points are transferred to the land use situation map of the base pond area to be evaluated, and the map is made using the natural breakpoint method after normalization to obtain a normalized classification map of the Weibo check-in points;

[0030] Based on the spatial autocorrelated information of the Weibo check-in points, the clustering characteristics of the Weibo check-in points in spatial statistics and the normalized classification map of the Weibo check-in points, the suitability evaluation of the tourism land in the base pond area to be evaluated is carried out.

[0031] Optionally, the kernel density value of the Weibo check-in point is transferred to the land use situation map of the base pond area to be evaluated, and the map is made using the natural breakpoint method after normalization to obtain the normalized classification map of the Weibo check-in point, including:

[0032] The kernel density values ​​of the Weibo check-in points are output as statistical rasters using zoning statistics, and the statistical rasters are converted into surface features using the raster-to-surface tool. The statistical rasters are connected to the map of the land use conditions of the base pond area to be evaluated, and the natural breakpoint method is used for mapping after normalization to obtain a normalized classification map of the Weibo check-in points.

[0033] Optionally, the first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated, including:

[0034] The first tourism land suitability evaluation result and the second tourism land suitability evaluation result are correlated and superimposed for analysis and processing to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0035] In addition, an embodiment of the present invention further provides a device for analyzing the suitability of a base pond for tourism use based on network open data, the device comprising:

[0036] The first acquisition module is used to obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system;

[0037] The second obtaining module is used to obtain the suitability level corresponding to each evaluation index system based on the overall evaluation index system;

[0038] The first evaluation module is used to evaluate the suitability level of the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system, and obtain the evaluation result of the suitability level corresponding to each evaluation index system in the base pond area to be evaluated;

[0039] Fusion module: used to fuse the suitability evaluation results of each evaluation index system in the base pond area to be evaluated based on the weight ratio corresponding to each evaluation index system, and obtain the first tourism land suitability evaluation result of the base pond area to be evaluated;

[0040] The second evaluation module is used to obtain the Weibo check-in points of the area to be evaluated, and to perform a tourism land suitability evaluation process on the Weibo check-in points of the base pond area to be evaluated, so as to obtain a second tourism land suitability evaluation result of the base pond area to be evaluated;

[0041] Overlay analysis module: used to perform overlay analysis on the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0042] In the embodiment of the present invention, through the spatial characteristics analysis of Weibo check-in points, it is first analyzed that the Weibo check-in points are spatially clustered, and compared with the suitability evaluation results of tourism land, it is concluded that there is a certain connection between crowd activities and tourism land, which illustrates the rationality and scientificity of applying Weibo check-in points to the site selection research of tourism land. Not only the impact of human activities on tourism land is obtained through comparative analysis, but also substantial suggestions are provided for the development of Jitang land in Shunde District into tourism land. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a flow chart of a method for analyzing the suitability of a base pond tourism land based on open network data in an embodiment of the present invention;

[0045] Figure 2 It is a schematic diagram of the structural composition of a device for analyzing the suitability of a base pond tourism land based on network open data in an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] Embodiment 1

[0048] See also Figure 1 , Figure 1 It is a flow chart of a method for analyzing the suitability of a base pond for tourism use based on open network data in an embodiment of the present invention.

[0049] like Figure 1 As shown, a method for analyzing the suitability of base pond tourism land based on network open data includes:

[0050] S11: Obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system;

[0051] In the specific implementation process of the present invention, the land use conditions of the base pond area to be evaluated are obtained and an overall evaluation index system is formed, including: obtaining the base pond land use conditions of the base pond area to be evaluated, and selecting 9 evaluation indicators in three aspects in combination with the "Land Evaluation Outline" to form an overall evaluation index system.

[0052] Specifically, in this application, taking Shunde District, Foshan City, Guangdong Province as an example, the key to the evaluation of the suitability of tourism land lies in the selection of evaluation indicators. The rationality of the selection of indicators is directly related to the rationality and scientificity of the evaluation results. According to the selection principles of evaluation indicators, combined with the actual land use situation of Jitang in Shunde District and the "Land Evaluation Outline", 9 evaluation indicators in 3 aspects were selected for the evaluation of the suitability of Jitang tourism land, forming the entire evaluation indicator system, as follows:

[0053] Table 1 Evaluation index system of tourism land suitability in Shunde District

[0054]

[0055] S12: Obtaining the suitability level corresponding to each evaluation index system based on the overall evaluation index system;

[0056] In the specific implementation process of the present invention, the suitability level corresponding to each evaluation index system is obtained based on the overall evaluation index system, including: analyzing and calculating the suitability of each evaluation index system for the development and construction of base pond tourism land based on the evaluation index system combined with the one-vote veto method and the suitability index method, and evaluating the corresponding suitability level to obtain the suitability level corresponding to each evaluation index system; wherein the suitability levels include highly suitable, moderately suitable, low suitable, and unsuitable.

[0057] Specifically, considering the particularity and sustainable development of the base pond land, this paper combines the "one-vote veto method" and the "suitability index method" in the evaluation method to analyze and calculate the suitability of each evaluation unit for tourism land development and construction, and evaluate the corresponding suitability level - highly suitable, moderately suitable, low suitable, unsuitable. The suitability grading indicators of each participating factor are as follows:

[0058] Table 2 Classification index of suitability of Jitang tourism land

[0059]

[0060] S13: performing a suitability evaluation process on the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system, and obtaining a suitability evaluation result corresponding to each evaluation index system in the base pond area to be evaluated;

[0061] In the specific implementation process of the present invention, the suitability level evaluation processing of the base pond area to be evaluated is performed based on the suitability level corresponding to each evaluation index system, including: taking the base pond land use status map plot of the base pond area to be evaluated as the evaluation unit, and performing suitability level evaluation processing using the evaluation method of the suitability level corresponding to each evaluation index system.

[0062] Specifically, the land use status map plots are used as evaluation units, and corresponding methods are adopted to conduct single-factor suitability evaluation on each indicator. For example, distance or density analysis is conducted on factors such as transportation, accommodation, and catering. The closer the distance, the higher the score, and the greater the density, the higher the score. An overlay analysis is conducted on the basic farmland protection areas, and any development is prohibited in the basic farmland protection areas. An overlay analysis is conducted on the construction land control areas, and the degree of construction allowed in different types of protection areas is different. For example, tourism land development is prohibited in prohibited construction areas; tourism development is allowed in allowed construction areas, and scores are set according to conditions in conditional construction areas and restricted construction areas.

[0063] S14: Based on the weight ratio corresponding to each evaluation index system, the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated to obtain the first tourism land suitability evaluation result of the base pond area to be evaluated;

[0064] In the specific implementation process of the present invention, the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated based on the weight ratio corresponding to each evaluation index system, including: assigning weights to each evaluation index system in the overall evaluation index system based on the hierarchical analysis method to obtain the weight ratio corresponding to each evaluation index system; based on the weight ratio corresponding to each evaluation index system, using the raster calculator tool in the attribute database in the ArcGIS software to integrate the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated.

[0065] Furthermore, the calculation model formula of the fusion processing is as follows:

[0066] S=W1*U1+W2*U2+…+W i *U i ;

[0067] Among them, S represents the evaluation score; W represents the weight ratio; U represents the normalized value of the suitability level evaluation result; W i Indicates the weight ratio corresponding to the i-th evaluation index system; U i Represents the normalized value of the evaluation result of the i-th suitability level.

[0068] Specifically, each evaluation index system in the overall evaluation index system is weighted according to the hierarchical analysis method, so as to obtain the corresponding weight ratio of each evaluation index system; as follows:

[0069] Table 3 Weights of evaluation indicators for suitability evaluation of tourism land in Shunde District

[0070]

[0071] The analytic hierarchy process is used to calculate the weights of evaluation indicators. The analytic hierarchy process usually includes the following steps: (1) establishing a substructure model; (2) constructing a judgment matrix; (3) calculating the indicator weights and performing a consistency test.

[0072] After obtaining the weight ratio corresponding to each evaluation index system, the model can be calculated by the attribute database in ArcGIS software and using the raster calculator tool using the following formula:

[0073] S=W1*U1+W2*U2+…+W i *U i ;

[0074] Among them, S represents the evaluation score; W represents the weight ratio; U represents the normalized value of the suitability level evaluation result; W i Indicates the weight ratio corresponding to the i-th evaluation index system; U i Represents the normalized value of the evaluation result of the i-th suitability level.

[0075] S15: Acquire the Weibo check-in points of the area to be evaluated, and perform a tourism land suitability evaluation process on the Weibo check-in points of the base pond area to be evaluated, so as to obtain a second tourism land suitability evaluation result of the base pond area to be evaluated;

[0076] In the specific implementation process of the present invention, the tourist land suitability evaluation process of the microblog sign-in point in the base pond area to be evaluated includes: importing the microblog sign-in point into ArcGIS software, and performing global Moran's I analysis in ArcGIS software to obtain spatial autocorrelated information of the microblog sign-in point; using the hot spot analysis tool in ArcGIS software to optimize the hot spot analysis process of the microblog sign-in point to obtain the clustering characteristics of the microblog sign-in point in spatial statistics; using the kernel density analysis in ArcMap to calculate the density value of the microblog sign-in point after point transfer operation and projection, to obtain the kernel density value of the microblog sign-in point; transferring the kernel density value of the microblog sign-in point to the land use situation map of the base pond area to be evaluated, and mapping it by natural breakpoint method after normalization to obtain the normalized classification map of the microblog sign-in point; performing tourist land suitability evaluation process of the base pond area to be evaluated based on the spatial autocorrelated information of the microblog sign-in point, the clustering characteristics of the microblog sign-in point in spatial statistics and the normalized classification map of the microblog sign-in point.

[0077] Furthermore, the kernel density values ​​of the Weibo check-in points are transferred to the land use situation map of the base pond area to be evaluated, and the natural breakpoint method is used to map the map after normalization to obtain a normalized classification map of the Weibo check-in points, including: using zoning statistics to output a statistical raster for the kernel density values ​​of the Weibo check-in points, and using a raster to surface tool to convert the statistical raster into a surface element, connecting the statistical raster values ​​to the land use situation map of the base pond area to be evaluated, and using the natural breakpoint method to map the map after normalization to obtain a normalized classification map of the Weibo check-in points.

[0078] Specifically, from a spatial perspective, the distribution of any geographical element has three types of distribution: randomness, uniformity, and agglomeration. In addition to being able to intuitively see the general distribution of Weibo check-in points in Shunde District from the map, it is not possible to scientifically grasp its spatial distribution type. Therefore, this paper conducts a spatial autocorrelation analysis on Weibo check-in points in Shunde District and measures its spatial correlation by calculating the Moran's index. First, a global Moran's I analysis is performed in ArcGIS to obtain the spatial autocorrelation of Weibo check-in points (Figure). According to the calculation data results, Moran's I>0 indicates spatial positive correlation. The larger the value, the more obvious the spatial correlation. Moran's I<0 indicates spatial negative correlation. The smaller the value, the greater the spatial difference. Otherwise, Moran's I=0, and the space is random.

[0079] According to the results of spatial autocorrelation calculation and analysis of Weibo check-in points, it can be concluded that the Moran I index is 0.59, indicating that there is spatial correlation in the distribution of Weibo check-in points, and the Z score is 2371.80, indicating that Weibo check-in points are statistically significantly clustered in space.

[0080] The hotspot analysis (Getis-Ord Gi*) tool in ArcGIS software was used to optimize the hotspot analysis of Weibo check-in points, thereby obtaining the spatial statistical clustering characteristics of Weibo check-in points. It can be seen that Weibo check-in points are mainly concentrated in the southeast of Shunde District and scattered in the central and southwestern regions.

[0081] Among them, the Weibo check-in point data comes from the Internet, with a total of 23,575 entries; after point conversion and projection, the density value is calculated using the kernel density analysis in ArcMap. The Weibo check-in points represent the possibility of activities within a certain range around them. After investigation, it is known that the area of ​​the Jitang area in Shunde District is 3-5 square kilometers, so the calculation radius is 20 meters, and the Weibo check-in kernel density value is obtained. Use the zoning statistics output grid. Use the raster to polygon tool to convert the statistical raster into a surface feature, connect the statistical value to the land use status map, and then normalize it and use the natural breakpoint method to map the normalized Weibo check-in point map. Hot spot analysis is the degree of aggregation of points within a unit. A neighborhood needs to be specified in order to calculate the density of pixels around each output pixel. Kernel density is the known total number of each point that is scattered from the point position to the surrounding area. In kernel density, the quadratic formula based on which the surface is generated around each point can give the highest value to the center of the surface (point position) and reduce it to zero within the search radius distance. For each output pixel, the total number of cumulative intersections of each scattered surface will be calculated. They can all express the aggregation of Weibo check-in points in a certain area, but kernel density analysis can better reflect the potential of the point and show spatial continuity. The normalized classification map of Weibo check-in points can obtain the main distribution of the most suitable areas, and the overall distribution trend shows that hot spots are also distributed in the northwest, southeast and central regions of Shunde District where the economy is developed and the population is concentrated. The area of ​​highly suitable areas is only 24km2, accounting for about 3%, the area of ​​moderately suitable areas is 75km2, accounting for about 9%, the area of ​​low suitable areas is 168km2, accounting for 21% of the total area, and the area of ​​unsuitable areas is as high as 540km2, accounting for 67%. It can be seen that the number of Weibo check-ins in Shunde District is low, reflecting that Shunde District’s tourism appeal is not high. At the same time, hot spots are relatively prominent and concentrated. Hot spots can reflect the potential passenger flow and popularity of the area from the side.

[0082] The spatial clustering characteristics of Weibo check-in points can reflect the spatial distribution of human activities in Shunde District. The study of tourism land selection in Shunde District has two main functions:

[0083] (1) The approximate site selection area is selected through the distribution map of Weibo check-in points. The scope of human activities in Shunde District is not only judged by the situation of residential areas, but also needs to be reflected by the spatial distribution of Weibo check-in points to reflect the actual human activities. Human activities in Shunde District are mainly concentrated in Daliang Street and Ronggui Street in the southeast of Shunde District, centered on the Shunde District Government, and Chencun Town, Beijiao Town, and London Street in the northeast, followed by Lecong Town in the northwest of Shunde District and Leliu Street and Longjiang Town in the middle. Moreover, the density of Weibo check-in points in the east of Shunde District is obviously greater than that in the west, and the degree of aggregation is significantly reduced towards the southwest of Shunde District. Some scattered aggregations in the surrounding areas are mainly concentrated in urban areas such as Jun'an Town and Xingtan Town.

[0084] (2) According to the results of the kernel density analysis of the Weibo check-in points in Shunde District, it is found that the spatial clustering of human activities has a certain direction. In addition to the areas where the human activities in Shunde District are concentrated in small towns such as Jun'an Town and Xingtan Town, which are not continuous, there are two main directions: one direction is to the east of Shunde District, which is adjacent to Panyu District of Guangzhou City, and the other direction is to the northwest, which is close to Chancheng District and Nanhai District of Foshan City. It can be seen that the economy is relatively developed in places with dense human activities, and most of the areas are urban land, while there are relatively few activities in areas such as base pond land and rural military and civilian store land.

[0085] S16: Performing superposition analysis on the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain a tourism land suitability analysis result of the base pond area to be evaluated.

[0086] In the specific implementation process of the present invention, the first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated, including: the first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0087] In the embodiment of the present invention, through the spatial characteristics analysis of Weibo check-in points, it is first analyzed that the Weibo check-in points are spatially clustered, and compared with the suitability evaluation results of tourism land, it is concluded that there is a certain connection between crowd activities and tourism land, which illustrates the rationality and scientificity of applying Weibo check-in points to the site selection research of tourism land. Not only the impact of human activities on tourism land is obtained through comparative analysis, but also substantial suggestions are provided for the development of Jitang land in Shunde District into tourism land.

[0088] Embodiment 2

[0089] See also Figure 2 , Figure 2It is a schematic diagram of the structural composition of a device for analyzing the suitability of a base pond tourism land based on network open data in an embodiment of the present invention.

[0090] like Figure 2 As shown, a device for analyzing the suitability of a base pond for tourism use based on network open data comprises:

[0091] The first acquisition module 21 is used to obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system;

[0092] In the specific implementation process of the present invention, the land use conditions of the base pond area to be evaluated are obtained and an overall evaluation index system is formed, including: obtaining the base pond land use conditions of the base pond area to be evaluated, and selecting 9 evaluation indicators in three aspects in combination with the "Land Evaluation Outline" to form an overall evaluation index system.

[0093] Specifically, in this application, taking Shunde District, Foshan City, Guangdong Province as an example, the key to the evaluation of the suitability of tourism land lies in the selection of evaluation indicators. The rationality of the selection of indicators is directly related to the rationality and scientificity of the evaluation results. According to the selection principles of evaluation indicators, combined with the actual land use situation of Jitang in Shunde District and the "Land Evaluation Outline", 9 evaluation indicators in 3 aspects were selected for the evaluation of the suitability of Jitang tourism land, forming the entire evaluation indicator system, as follows:

[0094] Table 1 Evaluation index system of tourism land suitability in Shunde District

[0095]

[0096]

[0097] The second obtaining module 22 is used to obtain the suitability level corresponding to each evaluation index system based on the overall evaluation index system;

[0098] In the specific implementation process of the present invention, the suitability level corresponding to each evaluation index system is obtained based on the overall evaluation index system, including: analyzing and calculating the suitability of each evaluation index system for the development and construction of base pond tourism land based on the evaluation index system combined with the one-vote veto method and the suitability index method, and evaluating the corresponding suitability level to obtain the suitability level corresponding to each evaluation index system; wherein the suitability levels include highly suitable, moderately suitable, low suitable, and unsuitable.

[0099] Specifically, considering the particularity and sustainable development of the base pond land, this paper combines the "one-vote veto method" and the "suitability index method" in the evaluation method to analyze and calculate the suitability of each evaluation unit for tourism land development and construction, and evaluate the corresponding suitability level - highly suitable, moderately suitable, low suitable, unsuitable. The suitability grading indicators of each participating factor are as follows:

[0100] Table 2 Classification index of suitability of Jitang tourism land

[0101]

[0102]

[0103] The first evaluation module 23 is used to evaluate the suitability level of the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system, and obtain the evaluation result of the suitability level corresponding to each evaluation index system in the base pond area to be evaluated;

[0104] In the specific implementation process of the present invention, the suitability level evaluation processing of the base pond area to be evaluated is performed based on the suitability level corresponding to each evaluation index system, including: taking the base pond land use status map plot of the base pond area to be evaluated as the evaluation unit, and performing suitability level evaluation processing using the evaluation method of the suitability level corresponding to each evaluation index system.

[0105] Specifically, the land use status map plots are used as evaluation units, and corresponding methods are adopted to conduct single-factor suitability evaluation on each indicator. For example, distance or density analysis is conducted on factors such as transportation, accommodation, and catering. The closer the distance, the higher the score, and the greater the density, the higher the score. An overlay analysis is conducted on the basic farmland protection areas, and any development is prohibited in the basic farmland protection areas. An overlay analysis is conducted on the construction land control areas, and the degree of construction allowed in different types of protection areas is different. For example, tourism land development is prohibited in prohibited construction areas; tourism development is allowed in allowed construction areas, and scores are set according to conditions in conditional construction areas and restricted construction areas.

[0106] Fusion module 24: used for fusing the suitability evaluation results corresponding to each evaluation index system in the base pond area to be evaluated based on the weight ratio corresponding to each evaluation index system, and obtaining the first tourism land suitability evaluation result of the base pond area to be evaluated;

[0107] In the specific implementation process of the present invention, the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated based on the weight ratio corresponding to each evaluation index system, including: assigning weights to each evaluation index system in the overall evaluation index system based on the hierarchical analysis method to obtain the weight ratio corresponding to each evaluation index system; based on the weight ratio corresponding to each evaluation index system, using the raster calculator tool in the attribute database in the ArcGIS software to integrate the suitability grade evaluation results corresponding to each evaluation index system in the base pond area to be evaluated.

[0108] Furthermore, the calculation model formula of the fusion processing is as follows:

[0109] S=W1*U1+W2*U2+…+W i *U i ;

[0110] Among them, S represents the evaluation score; W represents the weight ratio; U represents the normalized value of the suitability level evaluation result; W i Indicates the weight ratio corresponding to the i-th evaluation index system; U i Represents the normalized value of the evaluation result of the i-th suitability level.

[0111] Specifically, each evaluation index system in the overall evaluation index system is weighted according to the hierarchical analysis method, so as to obtain the corresponding weight ratio of each evaluation index system; as follows:

[0112] Table 3 Weights of evaluation indicators for suitability evaluation of tourism land in Shunde District

[0113]

[0114] The analytic hierarchy process is used to calculate the weights of evaluation indicators. The analytic hierarchy process usually includes the following steps: (1) establishing a substructure model; (2) constructing a judgment matrix; (3) calculating the indicator weights and performing a consistency test.

[0115] After obtaining the weight ratio corresponding to each evaluation index system, the model can be calculated by the attribute database in ArcGIS software and using the raster calculator tool using the following formula:

[0116] S=W1*U1+W2*U2+…+W i *U i ;

[0117] Among them, S represents the evaluation score; W represents the weight ratio; U represents the normalized value of the suitability level evaluation result; W i Indicates the weight ratio corresponding to the i-th evaluation index system; U iRepresents the normalized value of the evaluation result of the i-th suitability level.

[0118] The second evaluation module 25 is used to obtain the microblog sign-in points of the area to be evaluated, and to perform a tourism land suitability evaluation process on the microblog sign-in points of the base pond area to be evaluated, so as to obtain a second tourism land suitability evaluation result of the base pond area to be evaluated;

[0119] In the specific implementation process of the present invention, the tourist land suitability evaluation process of the microblog sign-in point in the base pond area to be evaluated includes: importing the microblog sign-in point into ArcGIS software, and performing global Moran's I analysis in ArcGIS software to obtain spatial autocorrelated information of the microblog sign-in point; using the hot spot analysis tool in ArcGIS software to optimize the hot spot analysis process of the microblog sign-in point to obtain the clustering characteristics of the microblog sign-in point in spatial statistics; using the kernel density analysis in ArcMap to calculate the density value of the microblog sign-in point after point transfer operation and projection, to obtain the kernel density value of the microblog sign-in point; transferring the kernel density value of the microblog sign-in point to the land use situation map of the base pond area to be evaluated, and mapping it by natural breakpoint method after normalization to obtain the normalized classification map of the microblog sign-in point; performing tourist land suitability evaluation process of the base pond area to be evaluated based on the spatial autocorrelated information of the microblog sign-in point, the clustering characteristics of the microblog sign-in point in spatial statistics and the normalized classification map of the microblog sign-in point.

[0120] Furthermore, the kernel density values ​​of the Weibo check-in points are transferred to the land use situation map of the base pond area to be evaluated, and the natural breakpoint method is used to map the map after normalization to obtain a normalized classification map of the Weibo check-in points, including: using zoning statistics to output a statistical raster for the kernel density values ​​of the Weibo check-in points, and using a raster to surface tool to convert the statistical raster into a surface element, connecting the statistical raster values ​​to the land use situation map of the base pond area to be evaluated, and using the natural breakpoint method to map the map after normalization to obtain a normalized classification map of the Weibo check-in points.

[0121] Specifically, from a spatial perspective, the distribution of any geographical element has three types of distribution: randomness, uniformity, and agglomeration. In addition to being able to intuitively see the general distribution of Weibo check-in points in Shunde District from the map, it is not possible to scientifically grasp its spatial distribution type. Therefore, this paper conducts a spatial autocorrelation analysis on Weibo check-in points in Shunde District and measures its spatial correlation by calculating the Moran's index. First, a global Moran's I analysis is performed in ArcGIS to obtain the spatial autocorrelation of Weibo check-in points (Figure). According to the calculation data results, Moran's I>0 indicates spatial positive correlation. The larger the value, the more obvious the spatial correlation. Moran's I<0 indicates spatial negative correlation. The smaller the value, the greater the spatial difference. Otherwise, Moran's I=0, and the space is random.

[0122] According to the results of spatial autocorrelation calculation and analysis of Weibo check-in points, it can be concluded that the Moran I index is 0.59, indicating that there is spatial correlation in the distribution of Weibo check-in points, and the Z score is 2371.80, indicating that Weibo check-in points are statistically significantly clustered in space.

[0123] The hotspot analysis (Getis-Ord Gi*) tool in ArcGIS software was used to optimize the hotspot analysis of Weibo check-in points, thereby obtaining the spatial statistical clustering characteristics of Weibo check-in points. It can be seen that Weibo check-in points are mainly concentrated in the southeast of Shunde District and scattered in the central and southwestern regions.

[0124] Among them, the Weibo check-in point data comes from the Internet, with a total of 23,575 entries; after point conversion and projection, the density value is calculated using the kernel density analysis in ArcMap. The Weibo check-in points represent the possibility of activities within a certain range around them. After investigation, it is known that the area of ​​the Jitang area in Shunde District is 3-5 square kilometers, so the calculation radius is 20 meters, and the Weibo check-in kernel density value is obtained. Use the zoning statistics output grid. Use the raster to polygon tool to convert the statistical raster into a surface feature, connect the statistical value to the land use status map, and then normalize it and use the natural breakpoint method to map the normalized Weibo check-in point map. Hot spot analysis is the degree of aggregation of points within a unit. A neighborhood needs to be specified in order to calculate the density of pixels around each output pixel. Kernel density is the known total number of each point that is scattered from the point position to the surrounding area. In kernel density, the quadratic formula based on which the surface is generated around each point can give the highest value to the center of the surface (point position) and reduce it to zero within the search radius distance. For each output pixel, the total number of cumulative intersections of each scattered surface will be calculated. They can all express the aggregation of Weibo check-in points in a certain area, but kernel density analysis can better reflect the potential of the point and show spatial continuity. The normalized classification map of Weibo check-in points can obtain the main distribution of the most suitable areas, and the overall distribution trend shows that hot spots are also distributed in the northwest, southeast and central regions of Shunde District where the economy is developed and the population is concentrated. The area of ​​highly suitable areas is only 24km2, accounting for about 3%, the area of ​​moderately suitable areas is 75km2, accounting for about 9%, the area of ​​low suitable areas is 168km2, accounting for 21% of the total area, and the area of ​​unsuitable areas is as high as 540km2, accounting for 67%. It can be seen that the number of Weibo check-ins in Shunde District is low, reflecting that Shunde District’s tourism appeal is not high. At the same time, hot spots are relatively prominent and concentrated. Hot spots can reflect the potential passenger flow and popularity of the area from the side.

[0125] The spatial clustering characteristics of Weibo check-in points can reflect the spatial distribution of human activities in Shunde District. The study of tourism land selection in Shunde District has two main functions:

[0126] (1) The approximate site selection area is selected through the distribution map of Weibo check-in points. The scope of human activities in Shunde District is not only judged by the situation of residential areas, but also needs to be reflected by the spatial distribution of Weibo check-in points to reflect the actual human activities. Human activities in Shunde District are mainly concentrated in Daliang Street and Ronggui Street in the southeast of Shunde District, centered on the Shunde District Government, and Chencun Town, Beijiao Town, and London Street in the northeast, followed by Lecong Town in the northwest of Shunde District and Leliu Street and Longjiang Town in the middle. Moreover, the density of Weibo check-in points in the east of Shunde District is obviously greater than that in the west, and the degree of aggregation is significantly reduced towards the southwest of Shunde District. Some scattered aggregations in the surrounding areas are mainly concentrated in urban areas such as Jun'an Town and Xingtan Town.

[0127] (2) According to the results of the kernel density analysis of the Weibo check-in points in Shunde District, it is found that the spatial clustering of human activities has a certain direction. In addition to the areas where the human activities in Shunde District are concentrated in small towns such as Jun'an Town and Xingtan Town, which are not continuous, there are two main directions: one direction is to the east of Shunde District, which is adjacent to Panyu District of Guangzhou City, and the other direction is to the northwest, which is close to Chancheng District and Nanhai District of Foshan City. It can be seen that the economy is relatively developed in places with dense human activities, and most of the areas are urban land, while there are relatively few activities in areas such as base pond land and rural military and civilian store land.

[0128] The overlay analysis module 26 is used to perform overlay analysis on the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0129] In the specific implementation process of the present invention, the first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated, including: the first tourism land suitability evaluation result and the second tourism land suitability evaluation result are superimposed and analyzed to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

[0130] In the embodiment of the present invention, through the spatial characteristics analysis of Weibo check-in points, it is first analyzed that the Weibo check-in points are spatially clustered, and compared with the suitability evaluation results of tourism land, it is concluded that there is a certain connection between crowd activities and tourism land, which illustrates the rationality and scientificity of applying Weibo check-in points to the site selection research of tourism land. Not only the impact of human activities on tourism land is obtained through comparative analysis, but also substantial suggestions are provided for the development of Jitang land in Shunde District into tourism land.

[0131] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0132] In addition, the above is a detailed introduction to a method and device for analyzing the suitability of a base pond tourism land based on network open data provided by an embodiment of the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in the field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for analyzing the suitability of tourism land in a base pond based on open network data, characterized in that: The method comprises: Obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system; Obtaining the suitability level corresponding to each evaluation index system based on the overall evaluation index system; Based on the suitability level corresponding to each evaluation index system, the suitability level evaluation process is performed on the base pond area to be evaluated, and the suitability level evaluation result corresponding to each evaluation index system in the base pond area to be evaluated is obtained; Based on the weight ratio corresponding to each evaluation index system, the suitability level evaluation results corresponding to each evaluation index system in the base pond area to be evaluated are integrated to obtain the first tourism land suitability evaluation result of the base pond area to be evaluated; Obtaining the Weibo check-in points of the to-be-evaluated base pond area, and performing a tourism land suitability evaluation process on the Weibo check-in points of the to-be-evaluated base pond area, to obtain a second tourism land suitability evaluation result of the to-be-evaluated base pond area; Performing a superposition analysis on the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain a tourism land suitability analysis result of the base pond area to be evaluated; The processing of evaluating the suitability of tourism land for the base pond area to be evaluated for the Weibo check-in point includes: Importing the microblog check-in points into ArcGIS software, and performing global Moran's I analysis in ArcGIS software to obtain spatial autocorrelated information of the microblog check-in points; Using the hotspot analysis tool in ArcGIS software to optimize the hotspot analysis processing of the Weibo check-in points, and obtain the clustering characteristics of the Weibo check-in points in spatial statistics; After the Weibo check-in point is transformed and projected, the density value is calculated using the kernel density analysis in ArcMap to obtain the kernel density value of the Weibo check-in point; The kernel density values ​​of the Weibo check-in points are transferred to the land use situation map of the base pond area to be evaluated, and the map is made using the natural breakpoint method after normalization to obtain a normalized classification map of the Weibo check-in points; Based on the spatial autocorrelated information of the Weibo check-in points, the clustering characteristics of the Weibo check-in points in spatial statistics and the normalized classification map of the Weibo check-in points, the suitability evaluation of the tourism land in the base pond area to be evaluated is carried out.

2. The method for analyzing the suitability of the base pond for tourism use according to claim 1 is characterized in that: The land use situation of the base pond area to be evaluated is obtained and an overall evaluation index system is formed, including: The land use conditions of the ponds to be evaluated were obtained, and 9 evaluation indicators in three aspects were selected in combination with the Outline of Land Evaluation to form an overall evaluation indicator system.

3. The method for analyzing the suitability of the base pond for tourism use according to claim 1 is characterized in that: The obtaining of the suitability level corresponding to each evaluation index system based on the overall evaluation index system includes: Based on the evaluation index system combined with the one-vote veto method and the suitability index method, the suitability of each evaluation index system for the development and construction of the base pond tourism land is analyzed and calculated, and the corresponding suitability level is evaluated to obtain the suitability level corresponding to each evaluation index system; Among them, the suitability levels include highly suitable, moderately suitable, low suitable, and unsuitable.

4. The method for analyzing suitability of base pond tourism land according to claim 1, characterized in that: The suitability level evaluation process of the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system includes: The land plots in the base pond land use status map of the base pond area to be evaluated are used as evaluation units, and the suitability level evaluation process is performed using the evaluation method of the suitability level corresponding to each evaluation index system.

5. The method for analyzing the suitability of the base pond for tourism use according to claim 1 is characterized in that: Based on the weight ratio corresponding to each evaluation index system, the evaluation results of the suitability level corresponding to each evaluation index system in the base pond area to be evaluated are integrated, including: Based on the hierarchical analysis method, each evaluation index system in the overall evaluation index system is weighted to obtain the weight ratio corresponding to each evaluation index system; Based on the weight ratio corresponding to each evaluation index system, the raster calculator tool is used in the attribute database of ArcGIS software to fuse the suitability grade evaluation results corresponding to each evaluation index system in the evaluated base pond area.

6. The method for analyzing suitability of base pond tourism land according to claim 5 is characterized in that: The calculation model formula of the fusion processing is as follows: ； in, Indicates the evaluation score; Indicates the weight ratio; It represents the normalized value of the suitability grade evaluation result; Indicates the weight ratio corresponding to the i-th evaluation index system; Represents the normalized value of the evaluation result of the i-th suitability level.

7. The method for analyzing the suitability of base pond tourism land according to claim 1, characterized in that: The kernel density value of the Weibo check-in point is transferred to the land use situation map of the base pond area to be evaluated, and the map is made using the natural breakpoint method after normalization to obtain the normalized classification map of the Weibo check-in point, including: The kernel density values ​​of the Weibo check-in points are output as statistical rasters using zoning statistics, and the statistical rasters are converted into surface features using the raster-to-surface tool. The statistical rasters are connected to the map of the land use conditions of the base pond area to be evaluated, and the natural breakpoint method is used for mapping after normalization to obtain a normalized classification map of the Weibo check-in points.

8. The method for analyzing the suitability of base pond tourism land according to claim 1, characterized in that: The method of performing superposition analysis on the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain the tourism land suitability analysis result of the base pond area to be evaluated includes: The first tourism land suitability evaluation result and the second tourism land suitability evaluation result are correlated and superimposed for analysis and processing to obtain the tourism land suitability analysis result of the base pond area to be evaluated.

9. A device for analyzing the suitability of a pond for tourism based on open network data, characterized in that: The device comprises: The first acquisition module is used to obtain the land use situation of the base pond area to be evaluated and form an overall evaluation index system; The second obtaining module is used to obtain the suitability level corresponding to each evaluation index system based on the overall evaluation index system; The first evaluation module is used to evaluate the suitability level of the base pond area to be evaluated based on the suitability level corresponding to each evaluation index system, and obtain the evaluation result of the suitability level corresponding to each evaluation index system in the base pond area to be evaluated; Fusion module: used to fuse the suitability evaluation results of each evaluation index system in the base pond area to be evaluated based on the weight ratio corresponding to each evaluation index system, and obtain the first tourism land suitability evaluation result of the base pond area to be evaluated; The second evaluation module is used to obtain the Weibo check-in points of the base pond area to be evaluated, and to perform a tourism land suitability evaluation process on the Weibo check-in points of the base pond area to be evaluated, so as to obtain a second tourism land suitability evaluation result of the base pond area to be evaluated; Overlay analysis module: used for overlaying and analyzing the first tourism land suitability evaluation result and the second tourism land suitability evaluation result to obtain the tourism land suitability analysis result of the base pond area to be evaluated; The processing of evaluating the suitability of tourism land for the base pond area to be evaluated for the Weibo check-in point includes: Importing the microblog check-in points into ArcGIS software, and performing global Moran's I analysis in ArcGIS software to obtain spatial autocorrelated information of the microblog check-in points; Using the hotspot analysis tool in ArcGIS software to optimize the hotspot analysis processing of the Weibo check-in points, and obtain the clustering characteristics of the Weibo check-in points in spatial statistics; After the Weibo check-in point is transformed and projected, the density value is calculated using the kernel density analysis in ArcMap to obtain the kernel density value of the Weibo check-in point; The kernel density values ​​of the Weibo check-in points are transferred to the land use situation map of the base pond area to be evaluated, and the map is made using the natural breakpoint method after normalization to obtain a normalized classification map of the Weibo check-in points; Based on the spatial autocorrelated information of the Weibo check-in points, the clustering characteristics of the Weibo check-in points in spatial statistics and the normalized classification map of the Weibo check-in points, the suitability evaluation of the tourism land in the base pond area to be evaluated is carried out.

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