GIS (Geographic Information System)-based canal global tourism multi-rule-in-one evaluation method and system

Abstract

The invention discloses a GIS-based canal global tourism multi-rule-in-one evaluation method and system. The method comprises the steps of obtaining index data information and canal global map data information; based on a GIS (Geographic Information System), rasterizing the canal global map to obtain a canal global grid map with a preset grid size; performing normalization processing on the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to a canal global grid map for storage; extracting a normalized index data set stored in any sub-grid in the canal global grid map; performing comprehensive evaluation on the normalized index data in the normalized index data set to obtain a comprehensive score of the corresponding sub-grid; and determining a tourism evaluation result of the canal region corresponding to the sub-grids according to the comprehensive score of the sub-grids. According to the invention, whether the corresponding canal area accords with tourism is determined through integration of multiple rules, and coordination, reasonable resource allocation and sustainable development of the canal area are improved.

Description

Technical Field

[0001] The present invention relates to the field of tourism evaluation technology, and more specifically, to a GIS-based canal tourism multi-regulation integrated evaluation method and system. Background Art

[0002] With the implementation of policies such as the Yangtze River Economic Belt, and the emergence of social phenomena such as consumption upgrading and aging, the tourism industry has been vigorously developed; however, there are some tourist areas that engage in disorderly tourism development and blindly follow the trend in pursuit of short-term economic benefits, which has caused damage to the sustainable development of tourist areas. Summary of the invention

[0003] In order to solve at least one of the above technical problems, the present invention provides a GIS-based canal tourism multi-plan integration evaluation method and system, which determines whether the corresponding canal area is suitable for tourism through multi-plan integration, thereby improving the coordination of the canal area, rational allocation of resources and sustainable development.

[0004] The first aspect of the present invention provides a GIS-based canal tourism multi-plan integration evaluation method, comprising:

[0005] Obtain indicator data information and canal full-area map data information;

[0006] Based on GIS, the canal map is rasterized to obtain a canal grid map with a preset grid size.

[0007] Normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage;

[0008] Extract the normalized indicator data set stored in any sub-grid in the canal's global grid map;

[0009] Comprehensively evaluate the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid;

[0010] According to the comprehensive scores of the sub-grids, the tourism evaluation results of the canal area corresponding to the sub-grids are determined;

[0011] The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

[0012] In this solution, the step of normalizing the indicator data specifically includes:

[0013] Divide the indicator data into positive indicator data and negative indicator data;

[0014] When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is:

[0015] When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is:

[0016] Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, and A′ represents the normalized indicator data value after the indicator data value is normalized.

[0017] In this solution, the step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes:

[0018] The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area;

[0019] Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area;

[0020] Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

[0021] In this solution, the formula for comprehensively evaluating the normalized indicator data in the normalized indicator data set to obtain the comprehensive score of the corresponding sub-grid is specifically:

[0022] Where S represents the comprehensive score of the subgrid; A′ i represents the normalized indicator data value in the indicator data numbered i; n represents the total number of indicator data, k i It represents the indicator weight corresponding to the indicator data numbered i, and i∈n; B represents the multi-regulation synergy index; C represents the ecological sensitivity index; α and β represent adjustment parameters.

[0023] In this solution, the steps of obtaining the multi-plan synergy index specifically include:

[0024] Obtain the planning atlas of the canal's overall tourism, and record the total quantity value in the corresponding planning atlas;

[0025] The planning map in the planning map collection of the canal tourism and the corresponding sub-grid are superimposed. If there is an overlapping area, the corresponding sub-grid is recorded once for the existence of the planning overlapping area;

[0026] Traverse the entire planning atlas to obtain the planning overlap area value of the corresponding sub-grid;

[0027] Divide the planning overlap area value of the corresponding sub-grid by the total number value to obtain the multi-plan coordination index.

[0028] In this scheme, the steps for obtaining the ecological sensitivity index specifically include:

[0029] Get the ecological data information in the corresponding sub-grid;

[0030] Divide the ecological data in the corresponding subgrid into multiple ecological factor data;

[0031] Send the ecological factor data to the corresponding ecological factor sensitivity scoring system to obtain the sensitivity score of the corresponding ecological factor;

[0032] Multiply the sensitivity score of the ecological factor by the weight of the corresponding ecological factor to obtain the sensitivity weight score of the corresponding ecological factor;

[0033] The sensitivity weighted scores of different ecological factors are accumulated to obtain the ecological sensitivity index of the corresponding sub-grid.

[0034] In this solution, the tourism evaluation result of the canal area corresponding to the subgrid is determined according to the comprehensive score of the subgrid, specifically:

[0035] When the comprehensive score of a subgrid is greater than or equal to a preset first score, the canal area corresponding to the subgrid is set as a tourism development zone;

[0036] When the comprehensive score of a subgrid is less than a preset second score, the canal area corresponding to the subgrid is set as a tourism conflict zone;

[0037] When the comprehensive score of a subgrid is greater than or equal to a preset second score and less than a preset first score, the canal area corresponding to the subgrid is set as a tourism potential area;

[0038] The preset second score is smaller than the preset first score.

[0039] A second aspect of the present invention provides a GIS-based canal tourism multi-plan integration evaluation system, including a memory and a processor, wherein the memory stores a GIS-based canal tourism multi-plan integration evaluation method program, and the GIS-based canal tourism multi-plan integration evaluation method program is executed by the processor to implement the following steps:

[0040] Obtain indicator data information and canal full-area map data information;

[0041] Based on GIS, the canal map is rasterized to obtain a canal grid map with a preset grid size.

[0042] Normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage;

[0043] Extract the normalized indicator data set stored in any sub-grid in the canal's global grid map;

[0044] Comprehensively evaluate the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid;

[0045] According to the comprehensive scores of the sub-grids, the tourism evaluation results of the canal area corresponding to the sub-grids are determined;

[0046] The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

[0047] In this solution, the step of normalizing the indicator data specifically includes:

[0048] Divide the indicator data into positive indicator data and negative indicator data;

[0049] When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is:

[0050] When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is:

[0051] Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, and A′ represents the normalized indicator data value after the indicator data value is normalized.

[0052] In this solution, the step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes:

[0053] The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area;

[0054] Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area;

[0055] Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

[0056] The present invention discloses a GIS-based canal tourism multi-regulation integration evaluation method and system, which determines whether the corresponding canal area is suitable for tourism through multi-regulation integration, thereby improving the coordination, rational allocation of resources and sustainable development of the canal area. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A flowchart of a GIS-based canal tourism multi-plan integration evaluation method of the present invention is shown;

[0058] Figure 2 A block diagram of a GIS-based canal tourism multi-regulation integrated evaluation system of the present invention is shown. DETAILED DESCRIPTION

[0059] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

[0060] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0061] Figure 1 A flow chart of a GIS-based canal tourism multi-plan integration evaluation method of the present invention is shown.

[0062] S101, obtaining indicator data information and canal full-area map data information;

[0063] S102, based on GIS, rasterizing the canal global map to obtain a canal global grid map of a preset grid size;

[0064] S103, normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage;

[0065] S104, extracting a normalized index data set stored in any sub-grid in the canal global grid map;

[0066] S105, comprehensively evaluating the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid;

[0067] S106, determining the tourism evaluation result of the canal area corresponding to the sub-grid according to the comprehensive score of the sub-grid;

[0068] The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

[0069] According to an embodiment of the present invention, for example, taking 100 meters as the division size, the corresponding canal full-area grid map is divided into multiple 100m (meter) x 100m sub-grids; for example, the indicator data value corresponding to the tourism resource data information is the total quantity value of tourism resources in the same sub-grid, the indicator data value corresponding to the economic data information is the proportion of tourism GDP in the same sub-grid, and the indicator data value corresponding to the traffic data information is the time value of the distance to the nearest traffic node in the same sub-grid, which is a reverse indicator data, and the traffic node is a highway port, a high-speed rail station port, a waterway port, etc.

[0070] According to an embodiment of the present invention, the step of normalizing the indicator data specifically includes:

[0071] Divide the indicator data into positive indicator data and negative indicator data;

[0072] When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is:

[0073] When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is:

[0074] Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, and A′ represents the normalized indicator data value after the indicator data value is normalized.

[0075] It should be noted that the difference in the data values ​​of each indicator is eliminated by the range method.

[0076] According to an embodiment of the present invention, the step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes:

[0077] The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area;

[0078] Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area;

[0079] Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

[0080] It should be noted that different indicator data are stored in the same sub-grid through location identification to achieve spatial superposition of different vector data.

[0081] According to an embodiment of the present invention, the formula for comprehensively evaluating the normalized indicator data in the normalized indicator data set to obtain the comprehensive score of the corresponding sub-grid is specifically:

[0082] Where S represents the comprehensive score of the subgrid; A′ i represents the normalized indicator data value in the indicator data numbered i; n represents the total number of indicator data, k i It represents the indicator weight corresponding to the indicator data numbered i, and i∈n; B represents the multi-regulation synergy index; C represents the ecological sensitivity index; α and β represent adjustment parameters.

[0083] It should be noted that the total number of indicator data is n, and the indicator data are numbered by randomly selecting a value from 1, 2, ..., n and are different.

[0084] According to an embodiment of the present invention, the step of obtaining the multi-rule synergy index specifically includes:

[0085] Obtain the planning atlas of the canal's overall tourism, and record the total quantity value in the corresponding planning atlas;

[0086] The planning map in the planning map collection of the canal tourism and the corresponding sub-grid are superimposed. If there is an overlapping area, the corresponding sub-grid is recorded once for the existence of the planning overlapping area;

[0087] Traverse the entire planning atlas to obtain the planning overlap area value of the corresponding sub-grid;

[0088] Divide the planning overlap area value of the corresponding sub-grid by the total number value to obtain the multi-plan coordination index.

[0089] According to an embodiment of the present invention, the step of obtaining the ecological sensitivity index specifically includes:

[0090] Get the ecological data information in the corresponding sub-grid;

[0091] Divide the ecological data in the corresponding subgrid into multiple ecological factor data;

[0092] Send the ecological factor data to the corresponding ecological factor sensitivity scoring system to obtain the sensitivity score of the corresponding ecological factor;

[0093] Multiply the sensitivity score of the ecological factor by the weight of the corresponding ecological factor to obtain the sensitivity weight score of the corresponding ecological factor;

[0094] The sensitivity weighted scores of different ecological factors are accumulated to obtain the ecological sensitivity index of the corresponding sub-grid.

[0095] It should be noted that the ecological factors include at least three ecological factors: terrain, vegetation cover, and water bodies. The ecological factor sensitivity scoring system is composed of technical experts corresponding to the ecological factors. The technical experts score the ecological factor data in the field to determine the sensitivity score of the corresponding ecological factors, and there are at least two technical experts in each field.

[0096] According to an embodiment of the present invention, the tourism evaluation result of the canal area corresponding to the sub-grid is determined according to the comprehensive score of the sub-grid, specifically:

[0097] When the comprehensive score of a subgrid is greater than or equal to a preset first score, the canal area corresponding to the subgrid is set as a tourism development zone;

[0098] When the comprehensive score of a subgrid is less than a preset second score, the canal area corresponding to the subgrid is set as a tourism conflict zone;

[0099] When the comprehensive score of a subgrid is greater than or equal to a preset second score and less than a preset first score, the canal area corresponding to the subgrid is set as a tourism potential area;

[0100] The preset second score is smaller than the preset first score.

[0101] It should be noted that the tourism evaluation results are divided into tourism development zones, tourism potential zones and tourism conflict zones; when a sub-grid is a tourism conflict zone, it means that the canal area corresponding to the sub-grid is not suitable for tourism development; when a sub-grid is a tourism development zone, it means that the canal area corresponding to the sub-grid is suitable for tourism development; when a sub-grid is a tourism potential zone, it means that the canal area corresponding to the sub-grid has the potential for tourism development, but still needs to be optimized.

[0102] According to an embodiment of the present invention, it also includes:

[0103] If the subgrid is a tourism potential area, take the subgrid as the center point of the nine-square grid, extract the tourism evaluation results of other subgrids in the nine-square grid and perform statistics to obtain the number of tourism development areas in the adjacent subgrids;

[0104] If the number of tourism development zones in the adjacent subgrid is greater than or equal to the preset first number threshold, the tourism potential area of ​​the corresponding subgrid is adjusted to a tourism development zone;

[0105] Extracting normalized index data values ​​within the subgrid and normalized index data values ​​of adjacent subgrids;

[0106] Based on the same indicator data, the normalized indicator data values ​​of adjacent subgrids are averaged to obtain the average normalized indicator data value of the adjacent subgrids;

[0107] Based on the same indicator data, the average normalized indicator data value of the adjacent subgrids is subtracted from the normalized indicator data value within the subgrid to obtain the indicator data difference;

[0108] Traverse all indicator data, obtain the indicator data difference set, and extract the largest indicator data difference;

[0109] The indicator corresponding to the largest indicator data difference is set as the optimization direction of the current sub-grid area.

[0110] According to an embodiment of the present invention, it also includes:

[0111] If the subgrid is a tourism development zone, take the subgrid as the center point of the nine-square grid, extract the tourism evaluation results of other subgrids in the nine-square grid and perform statistics to obtain the number of tourism conflict areas of adjacent subgrids;

[0112] If the number of tourism conflict areas of adjacent sub-grids is greater than or equal to a preset second number threshold, the tourism development area of ​​the corresponding sub-grid is adjusted to a tourism potential area.

[0113] It should be noted that the tourism evaluation results between sub-grids are compared and analyzed through the nine-square grid method to improve the accuracy of the tourism evaluation results of the sub-grids.

[0114] Figure 2 A block diagram of a GIS-based canal tourism multi-regulation integrated evaluation system of the present invention is shown.

[0115] like Figure 2 As shown, the second aspect of the present invention provides a GIS-based canal tourism multi-plan integration evaluation system 2, including a memory 21 and a processor 22, wherein the memory stores a GIS-based canal tourism multi-plan integration evaluation method program, and the GIS-based canal tourism multi-plan integration evaluation method program is executed by the processor to implement the following steps:

[0116] Obtain indicator data information and canal full-area map data information;

[0117] Based on GIS, the canal map is rasterized to obtain a canal grid map with a preset grid size.

[0118] Normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage;

[0119] Extract the normalized indicator data set stored in any sub-grid in the canal's global grid map;

[0120] Comprehensively evaluate the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid;

[0121] According to the comprehensive scores of the sub-grids, the tourism evaluation results of the canal area corresponding to the sub-grids are determined;

[0122] The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

[0123] In this solution, the step of normalizing the indicator data specifically includes:

[0124] Divide the indicator data into positive indicator data and negative indicator data;

[0125] When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is:

[0126] When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is:

[0127] Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, and A′ represents the normalized indicator data value after the indicator data value is normalized.

[0128] In this solution, the step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes:

[0129] The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area;

[0130] Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area;

[0131] Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

[0132] The present invention discloses a GIS-based canal tourism multi-regulation integration evaluation method and system, which determines whether the corresponding canal area is suitable for tourism through multi-regulation integration, thereby improving the coordination, rational allocation of resources and sustainable development of the canal area.

[0133] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0134] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0135] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0136] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0137] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A GIS-based canal tourism multi-plan integration evaluation method, characterized by: include: Obtain indicator data information and canal full-area map data information; Based on GIS, the canal map is rasterized to obtain a canal grid map with a preset grid size. Normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage; Extract the normalized indicator data set stored in any sub-grid in the canal's global grid map; Comprehensively evaluate the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid; According to the comprehensive scores of the sub-grids, the tourism evaluation results of the canal area corresponding to the sub-grids are determined; The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

2. According to the GIS-based canal tourism multi-plan integration evaluation method of claim 1, it is characterized by: The step of normalizing the indicator data specifically includes: Divide the indicator data into positive indicator data and negative indicator data; When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is: When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is: Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, A ′ Indicates the normalized indicator data value after the indicator data value is normalized.

3. According to the GIS-based canal tourism multi-plan integration evaluation method of claim 1, it is characterized by: The step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes: The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area; Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area; Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

4. According to the GIS-based canal tourism multi-plan integration evaluation method of claim 1, it is characterized by: The formula for comprehensively evaluating the normalized indicator data in the normalized indicator data set to obtain the comprehensive score of the corresponding sub-grid is specifically: Among them, S represents the comprehensive score of the sub-grid; A ′ i represents the normalized indicator data value in the indicator data numbered i; n represents the total number of indicator data, k i It represents the indicator weight corresponding to the indicator data numbered i, and i∈n; B represents the multi-regulation synergy index; C represents the ecological sensitivity index; α and β represent adjustment parameters.

5. According to claim 4, a GIS-based canal tourism multi-plan integration evaluation method is characterized in that: The steps of obtaining the multi-plan synergy index specifically include: Obtain the planning atlas of the canal's overall tourism, and record the total quantity value in the corresponding planning atlas; The planning map in the planning map collection of the canal tourism and the corresponding sub-grid are superimposed. If there is an overlapping area, the corresponding sub-grid is recorded once for the existence of the planning overlapping area; Traverse the entire planning atlas to obtain the planning overlap area value of the corresponding sub-grid; Divide the planning overlap area value of the corresponding sub-grid by the total number value to obtain the multi-plan coordination index.

6. According to claim 4, a GIS-based canal tourism multi-plan integration evaluation method is characterized in that: The steps for obtaining the ecological sensitivity index specifically include: Get the ecological data information in the corresponding sub-grid; Divide the ecological data in the corresponding subgrid into multiple ecological factor data; Send the ecological factor data to the corresponding ecological factor sensitivity scoring system to obtain the sensitivity score of the corresponding ecological factor; Multiply the sensitivity score of the ecological factor by the weight of the corresponding ecological factor to obtain the sensitivity weight score of the corresponding ecological factor; The sensitivity weighted scores of different ecological factors are accumulated to obtain the ecological sensitivity index of the corresponding sub-grid.

7. According to the GIS-based canal tourism multi-plan integration evaluation method of claim 1, it is characterized by: The tourism evaluation result of the canal area corresponding to the subgrid is determined according to the comprehensive score of the subgrid, specifically: When the comprehensive score of a subgrid is greater than or equal to a preset first score, the canal area corresponding to the subgrid is set as a tourism development zone; When the comprehensive score of a subgrid is less than a preset second score, the canal area corresponding to the subgrid is set as a tourism conflict zone; When the comprehensive score of a subgrid is greater than or equal to the preset second score and less than the preset first score, the canal area corresponding to the subgrid is set as a tourism potential area; The preset second score is smaller than the preset first score.

8. A GIS-based canal tourism multi-plan integration evaluation system, characterized by: The invention comprises a memory and a processor, wherein a GIS-based canal all-region tourism multi-regulation integration evaluation method program is stored in the memory, and the GIS-based canal all-region tourism multi-regulation integration evaluation method program is executed by the processor to implement the following steps: Obtain indicator data information and canal full-area map data information; Based on GIS, the canal map is rasterized to obtain a canal grid map with a preset grid size. Normalizing the index data to obtain corresponding normalized index data, and sending the corresponding normalized index data to the canal global grid map for storage; Extract the normalized indicator data set stored in any sub-grid in the canal's global grid map; Comprehensively evaluate the normalized indicator data in the normalized indicator data set to obtain a comprehensive score of the corresponding subgrid; According to the comprehensive scores of the sub-grids, the tourism evaluation results of the canal area corresponding to the sub-grids are determined; The indicator data information at least includes tourism resource data information, economic data information, traffic data information, ecological constraint data information and supporting facilities data information.

9. The GIS-based canal tourism multi-plan integration evaluation system according to claim 8 is characterized in that: The step of normalizing the indicator data specifically includes: Divide the indicator data into positive indicator data and negative indicator data; When the indicator data is positive indicator data, the positive indicator data value A in the positive indicator data is extracted, and the normalization processing formula of the positive indicator data value is: When the indicator data is negative indicator data, the negative indicator data value A in the negative indicator data is extracted, and the normalization processing formula of the negative indicator data value is: Among them A max is the maximum value of the corresponding indicator data, A min is the minimum value in the corresponding indicator data, A ′ Indicates the normalized indicator data value after the indicator data value is normalized.

10. The GIS-based canal tourism multi-plan integration evaluation system according to claim 8 is characterized in that: The step of sending the corresponding normalized index data to the canal global grid map for storage specifically includes: The canal's entire grid map is divided into multiple sub-grids, and each sub-grid is associated with a corresponding geographical area; Extracting the geographical area information where the indicator data is located, and associating the normalized indicator data value in the indicator data with the corresponding geographical area; Based on the same geographical area, the corresponding normalized indicator data values ​​are sent to the corresponding sub-grids for storage.

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