Regional layout evaluation method, system and computer equipment

Abstract

The present application provides a method, system and computer equipment for evaluating regional layout, and relates to the field of computer technology. The method includes: obtaining an administrative division vector layer of a target area and multiple element space layers of the target area; performing spatial analysis on the administrative division vector layer to determine multiple observation points in the target area; generating a location advantage grid image of each element space layer corresponding to the regional influencing element based on multiple observation points; performing multi-element overlay analysis based on the location advantage grid images of multiple regional influencing elements to generate a multi-element location advantage grid image of the target area; and generating a regional layout evaluation report for the target area. The present application comprehensively considers the relationship between multiple regional influencing elements, and improves the accuracy and comprehensiveness of the regional layout evaluation within the target area.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method, system and computer device for evaluating regional layout. Background Art

[0002] At present, the regional layout evaluation of the target area only considers the impact of a single regional influencing factor on the target area layout, ignoring the synergy between multiple regional influencing factors, making the regional layout evaluation of the target area relatively single, making it impossible to comprehensively evaluate the target area based on the regional layout evaluation, resulting in inaccurate and one-sided layout evaluation of the target area. Summary of the invention

[0003] The purpose of this application is to provide a regional layout evaluation method, system and computer equipment to address the deficiencies in the above-mentioned prior art, which comprehensively considers the relationship between multiple regional influencing factors and improves the accuracy and comprehensiveness of the regional layout evaluation of the target area.

[0004] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0005] In a first aspect, an embodiment of the present application provides a method for evaluating regional layout, the method comprising:

[0006] Acquire an administrative division vector layer of a target area and a plurality of element space layers of the target area; the plurality of element space layers respectively correspond to a plurality of regional influencing elements;

[0007] Performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area;

[0008] According to the multiple observation points, single factor advantage analysis is performed on multiple key points in each element space layer to generate a location advantage grid image of the regional influencing factors corresponding to each element space layer;

[0009] Performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area;

[0010] A regional layout evaluation report of the target area is generated based on the multi-factor location advantage grid image of the target area.

[0011] Optionally, before performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area, the method further includes:

[0012] Acquire a topographic map of the target area;

[0013] The performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area includes:

[0014] Performing geographic boundary registration on the administrative division vector layer and the topographic map to generate a spatial base map of the target area;

[0015] Based on the administrative division vector layer and preset distance parameters, generating multiple initial key points;

[0016] According to the spatial base map, the multiple initial key points are added and deleted to obtain multiple observation points in the target area.

[0017] Optionally, performing single factor advantage analysis on multiple key points in each element space layer according to the multiple observation points to generate a location advantage grid image of the regional influencing factors corresponding to each element space layer includes:

[0018] Obtaining the time distance data from each key point in each element space layer to the multiple observation points as the time distance data of the multiple observation points for each key point;

[0019] Generating a location advantage grid image of each key point according to the time distance data of each key point from the multiple observation points;

[0020] A single-element location advantage analysis is performed based on the location advantage grid images of the multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element space layer.

[0021] Optionally, generating the location advantage grid image of each key point according to the time distance data of each key point from the multiple observation points includes:

[0022] According to the time distance data of the multiple observation points for each key point, respectively determine the time parameters from the multiple observation points to each key point, and the distance parameters from the multiple observation points to each key point;

[0023] According to the distance parameters from the multiple observation points to each key point, a preset inverse distance weighting algorithm is used to determine the weights of the multiple observation points relative to each key point;

[0024] According to the weights of the multiple observation points relative to each key point and the time parameters from the multiple observation points to each key point, a preset interpolation algorithm is used to determine the location advantage parameters of the multiple observation points relative to each key point;

[0025] A location advantage raster image of each key point is generated according to the location advantage parameters of the multiple observation points relative to each key point and the administrative division vector layer of the target area.

[0026] Optionally, performing single-element location advantage analysis based on the location advantage grid images of the multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element space layer includes:

[0027] Determining a plurality of location advantage parameters of each grid in a plurality of grids from the location advantage grid images of the plurality of key points;

[0028] Using a preset minimum value screening algorithm, determine the minimum location advantage parameter of each grid from the multiple location advantage parameters of each grid;

[0029] According to the minimum location advantage parameters of the multiple grids, a location advantage grid image of the regional influencing element corresponding to each element space layer is generated.

[0030] Optionally, performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area includes:

[0031] Using multiple levels of preset location advantage parameter ranges, the location advantage parameters of each grid in the location advantage grid image of each regional influencing factor are graded to obtain the location advantage grade grid image of each regional influencing factor;

[0032] A multi-factor overlay analysis is performed based on the location advantage grade grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0033] Optionally, performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area includes:

[0034] Determining layout guidance weights of the plurality of regional influencing factors according to the importance of the plurality of regional influencing factors corresponding to the layout guidance;

[0035] According to the layout guidance weights of the multiple regional influencing factors, a multi-factor overlay analysis is performed on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0036] Optionally, generating a regional layout evaluation report of the target area according to the multi-factor location advantage grid image of the target area includes:

[0037] Superimposing the preset layout control lines on the location advantage grid images of the multiple regional influencing elements and the multi-element location advantage grid image of the target area, respectively, to obtain multiple element grid images and a regional grid image;

[0038] A regional layout evaluation report of the target area is generated according to the data expression logic of the location advantage grid images of the multiple regional influencing factors, the weight setting logic of the multiple regional influencing factors, the multiple element grid images and the regional raster image.

[0039] In a second aspect, another embodiment of the present application provides a regional layout evaluation report generation system, the system comprising: a data visualization module, used to obtain an administrative division vector layer of a target area and a plurality of element space layers of the target area; the plurality of element space layers respectively correspond to a plurality of regional influencing factors; perform spatial analysis on the administrative division vector layer to determine a plurality of observation points in the target area;

[0040] A single factor analysis module is used to perform single factor advantage analysis on multiple key points in each element space layer according to the multiple observation points, and generate a location advantage grid image of the regional influencing factors corresponding to each element space layer;

[0041] A multi-factor analysis module, used for performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area;

[0042] The export module is used to generate a regional layout evaluation report of the target area based on the multi-factor location advantage grid image of the target area.

[0043] In the third aspect, another embodiment of the present application provides a computer device, comprising: a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the computer device is running, the processor communicates with the storage medium through the bus, and the processor executes the machine-readable instructions to perform the steps of the regional layout evaluation method as described in any one of the first aspects above.

[0044] In a fourth aspect, another embodiment of the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the regional layout evaluation method as described in any one of the above-mentioned first aspects are executed.

[0045] The beneficial effects of this application are:

[0046] The present application provides a method, system and computer device for generating a regional recommendation report, which obtains the administrative division vector layer of the target area and multiple element space layers of the target area, and performs spatial analysis on the administrative division vector layer to determine multiple observation points in the target area, and performs single element advantage analysis on multiple key points in each element space layer according to the observation points, which helps to identify key points with advantages in regional influencing factors in the target area, so that each element space layer generates a location advantage grid image corresponding to the regional influencing factor, so as to quickly locate and analyze the distribution of the advantage range of multiple key points in the target area, and more accurately evaluate the regional layout of the target area. Based on the location advantage grid images of multiple regional influencing factors, a multi-element location advantage grid image of the target area is generated, which ensures a comprehensive analysis of multiple regional influencing factors in the target area. It is guaranteed that the accuracy and comprehensiveness of the regional layout evaluation of the target area are improved according to the multi-element location advantage grid image of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 A schematic diagram of a flow chart of a regional layout evaluation method provided in an embodiment of the present application;

[0049] Figure 2 A schematic diagram of a process for determining multiple observation points in a regional layout evaluation method provided in an embodiment of the present application;

[0050] Figure 3 A schematic diagram of the distribution of initial observation points of a target area generated in a method for evaluating regional layout provided in an embodiment of the present application;

[0051] Figure 4 A schematic diagram of the distribution of multiple observation points within a target area in a regional layout evaluation method provided in an embodiment of the present application;

[0052] Figure 5 A schematic diagram of a process for determining a location advantage grid image in a regional layout evaluation method provided in an embodiment of the present application;

[0053] Figure 6 A schematic diagram of a process for generating a location advantage grid image of each key point in a regional layout evaluation method provided in an embodiment of the present application;

[0054] Figure 7A schematic diagram of a location advantage grid image of a key point in a regional layout evaluation method provided in an embodiment of the present application;

[0055] Figure 8 A schematic diagram of a flow chart of a location advantage grid image of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application;

[0056] Fig. 9 A schematic diagram of a location advantage grid image of a first key point of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application;

[0057] Fig.10 A schematic diagram of a location advantage grid image of a second key point of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application;

[0058] Fig.11 A schematic diagram of a location advantage grid image of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application;

[0059] Fig.12 A schematic diagram of a process for generating a multi-factor location advantage grid image of a target area in a regional layout evaluation method provided in an embodiment of the present application;

[0060] Fig.13 A schematic diagram of a process for generating a multi-factor location advantage grid image of a target area in another regional layout evaluation method provided in an embodiment of the present application;

[0061] Fig.14 A schematic diagram of a flow chart of generating a regional layout evaluation report for a target region in a regional layout evaluation method provided in an embodiment of the present application;

[0062] Fig.15 A schematic diagram of the structure of a regional layout evaluation report generation system provided in an embodiment of the present application;

[0063] Fig.16 A schematic diagram of the structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0064] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of the present application, or remove one or more operations from the flowchart.

[0065] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0066] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared thereafter, but does not exclude the addition of other features.

[0067] In order to clearly describe the regional layout evaluation method provided in the embodiment of the present application, the regional layout evaluation method is explained in combination with multiple drawings as follows. The regional layout evaluation method provided in the present application is implemented based on a geographic information system (GIS). By executing the regional layout evaluation method provided in the present application, a regional layout evaluation report of the target area is generated, and the relationship between multiple regional influencing factors is comprehensively considered, thereby improving the accuracy and comprehensiveness of the regional layout evaluation of the target area.

[0068] Figure 1 A flow chart of a regional layout evaluation method provided in an embodiment of the present application is shown as follows: Figure 1 As shown, the method includes:

[0069] Step 101: Obtain an administrative division vector layer of a target area and multiple element space layers of the target area.

[0070] Among them, multiple element space layers correspond to multiple regional influencing factors. The administrative division vector layer represents the boundaries, shapes and attributes of the target administrative region in the form of vector data. Regional influencing factors can be productivity influencing factors, and multiple regional influencing factors include: transportation, science and technology innovation, enterprises, labor or new energy and other factors. The element space layer is used to represent the elements in the geographic space of the target area. The element space layer includes the spatial information and attribute information of multiple elements.

[0071] Optionally, determine the target area, and obtain the administrative division vector layer of the target area and multiple element space layers of the target area from a preset database, wherein the preset database stores the administrative division vector layers of multiple areas and multiple element space layers corresponding to different areas.

[0072] Step 102: Perform spatial analysis on the administrative division vector layer to determine multiple observation points within the target area.

[0073] Among them, the observation points are used to observe and measure the occurrence of events, and the number of observation points is greater than or equal to a preset number threshold. The preset number threshold may be 12, and this embodiment of the present application does not impose any limitation on this.

[0074] Optionally, multiple observation points are determined based on the scope of the target area in the administrative division vector map, and the multiple observation points are evenly arranged in the administrative division vector map to ensure that the distance between each observation point is less than a preset distance, wherein the preset distance is set according to actual conditions and the embodiment of the present application does not impose any restrictions on this.

[0075] Step 103: Based on the multiple observation points, single factor advantage analysis is performed on the multiple key points in each element space layer to generate a location advantage grid image of the regional influencing factors corresponding to each element space layer.

[0076] Among them, each element space layer includes multiple key points, and the key points are used to indicate multiple key elements in each element space layer. When the element space layer is a transportation element space layer, the key points can be important transportation facilities in the target area, such as railway stations, airports, ports, highway interchanges and other important transportation facilities. Single element advantage analysis, that is, analyzing each key point in the element space layer according to multiple key points in the element space layer and multiple observation points in the administrative division vector layer, and combining the analysis of each key point to obtain a single element analysis. The location advantage raster image mainly represents and displays the location advantage of the target area through a raster map. The location advantage raster image is composed of multiple rasters with the same size and different attributes. The location advantage raster image can intuitively display the relative advantages of each area in the target area.

[0077] Optionally, based on multiple observation points, location advantage analysis is performed on multiple key points in each element space layer, the location advantage analysis results of the multiple key points are summarized to obtain a single element location advantage analysis, and a location advantage raster image of each element space layer is generated based on the single element location advantage analysis results.

[0078] Step 104: Perform multi-factor overlay analysis based on the location advantage grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0079] Optionally, the district advantage grid images affected by multiple regional factors are subjected to multi-factor overlay analysis to generate a multi-factor location advantage grid image of the target area. The overlay method can be weighted overlay, and the specific weight determination process can be expert scoring and hierarchical analysis methods. Among them, the multi-factor location advantage grid image is a multi-factor location advantage grid image.

[0080] Step 105: Generate a regional layout evaluation report for the target area based on the multi-factor location advantage grid image of the target area.

[0081] Optionally, according to the multi-factor location advantage grid image of the target area, by calling a preset regional layout evaluation report template, a regional layout evaluation report of the target area is generated according to the multi-factor location advantage grid image of the target area, the single-factor location advantage grid image, the overview of the target area, etc. The preset regional layout evaluation report template is pre-stored in a database, and the preset regional layout evaluation report template may include: location overview of the target area, layout element data overview of the target area, overview of key points corresponding to layout elements, single-factor location advantage analysis, weight analysis, multi-factor overlay comprehensive analysis, multi-factor location advantage grid image of the target area, single-factor location advantage grid image, etc., wherein the layout element corresponding key points are mainly used to indicate the specific points of a certain regional influencing factor in geographic space. The embodiment of the present application is not limited to this, and other relevant information of the target area may also be included.

[0082] In an embodiment of the present application, firstly, the administrative division vector layer of the target area and the multiple element space layers of the target area are obtained, and the administrative division vector layer is spatially analyzed to determine the multiple observation points in the target area, and the single element advantage analysis is performed on the multiple key points in each element space layer according to the observation points, which helps to identify the advantage range distribution of each key point of the regional influencing factor in the target area, so that each element space layer generated corresponds to the location advantage grid image of the regional influencing factor, so as to quickly locate and analyze the advantage range distribution of multiple key points in the target area, and more accurately evaluate the regional layout of the target area. Based on the location advantage grid images of multiple regional influencing factors, a multi-element location advantage grid image of the target area is generated, which ensures a comprehensive analysis of multiple regional influencing factors in the target area and improves the accuracy and comprehensiveness of the regional layout evaluation of the target area.

[0083] Based on the above embodiments, the present application also provides a process for determining multiple observation points in a regional layout evaluation method. Figure 2 A schematic diagram of a process for determining multiple observation points in a regional layout evaluation method provided in an embodiment of the present application, such as Figure 2 As shown, before performing spatial analysis on the administrative division vector layer in the above step 102 to determine multiple observation points in the target area, the method further includes:

[0084] Step 201: Obtain a topographic map of the target area.

[0085] Among them, the topographic map is a projection of the undulating shape and geographical location of landmarks in the target area on a horizontal plane, and the topographic map is a two-dimensional image.

[0086] Optionally, according to the target area, a topographic map of the target area is obtained from a preset database, and the preset database stores topographic maps of different areas.

[0087] As in step 102 above, spatial analysis is performed on the administrative division vector layer to determine multiple observation points within the target area, including:

[0088] Step 202: perform geographic boundary registration on the administrative division vector layer and the topographic map to generate a spatial base map of the target area.

[0089] Optionally, multiple boundary points of the administrative division vector map and landmark points of the target area are determined, and multiple boundary points of the topographic map are determined. According to the multiple boundary points of the administrative division vector map and the landmark points of the target area, the multiple boundary points of the topographic map are aligned by the seven-point matching principle to obtain the alignment result. When there is a large error between the multiple boundary points of the administrative division vector map and the multiple boundary points of the topographic map in the alignment result, the boundary points are re-determined for re-alignment. When the multiple boundary points of the administrative division vector map in the alignment result match the multiple boundary points of the topographic map, the spatial base map of the target area is generated. Among them, the multiple boundary points of the administrative division vector map and the landmark points of the target area and the multiple boundary points of the topographic map can be determined manually or by machine. The seven-point matching principle is the principle of uniform distribution, sufficient number, easy identification, obvious characteristics, avoiding edge effects, considering errors, and consistency. When the difference between the boundary points of the multiple boundary points of the administrative division vector map and the landmark points of the target area and the corresponding positions of the topographic map exceeds the preset distance threshold, there is a large error between the multiple boundary points of the administrative division vector map and the multiple boundary points of the topographic map. The preset distance threshold may be the distance between streets, which is not limited in this embodiment of the present application.

[0090] Step 203: Generate multiple initial key points based on the administrative division vector layer and preset distance parameters.

[0091] Optionally, based on the administrative division vector layer, multiple initial key points are generated by setting a preset distance parameter in accordance with the principle of equidistant from top to bottom and from left to right. The preset distance parameter is determined according to the range of the target area. If the range of the target area is small, the preset distance parameter is set to a smaller parameter, and if the range of the target area is large, the preset distance parameter is set to a larger parameter.

[0092] Step 204: Add and delete multiple initial key points according to the spatial base map to obtain multiple observation points in the target area.

[0093] Optionally, based on the spatial base map, observation points in areas with high accessibility such as plains and built-up areas in the target area, as well as observation points in areas with poor traffic accessibility such as mountains and hills, are determined. Observation points in areas with poor traffic accessibility such as mountains and hills are deleted, and observation points in areas with high accessibility such as plains and built-up areas are added, and the number of observation points in the target area is greater than or equal to a preset observation point number threshold, which may be 12.

[0094] Figure 3 A distribution diagram of initial observation points of a target area generated in a regional layout evaluation method provided in an embodiment of the present application, Figure 4 This is a schematic diagram of the distribution of multiple observation points in a target area in a regional layout evaluation method provided in an embodiment of the present application. Figure 3 as well as Figure 4 As shown, Figure 3 Generate multiple initial key points based on the administrative division vector layer and preset distance parameters. Figure 4 In order to add and delete observation points in the target area according to the spatial base map, it can be observed that the observation points in the target area with high accessibility, such as plains and built-up areas, are densely distributed, while the observation points in areas with poor traffic accessibility, such as mountains and hills, are sparsely distributed.

[0095] In the embodiment of the present application, multiple initial key points are generated based on the administrative division vector layer and the preset distance parameters, and multiple initial key points are added and deleted according to the spatial base map to obtain multiple observation points in the target area. The observation points are arranged according to the terrain, and the complementary synergy between the observation points can be achieved, thereby improving the accuracy of the observation points in the target area and avoiding the setting of invalid observation points.

[0096] Based on the above embodiments, the present application also provides a process for determining a location advantage grid image in a regional layout evaluation method. Figure 5 A schematic diagram of a process for determining a location advantage grid image in a regional layout evaluation method provided in an embodiment of the present application, such as Figure 5 As shown, in the above step 103, a single factor advantage analysis is performed on multiple key points in each element space layer according to multiple observation points to generate a location advantage grid image of the regional influencing factor corresponding to each element space layer, including:

[0097] Step 501: Obtain the time distance data from each key point to multiple observation points in each element space layer as the time distance data of multiple observation points for each key point.

[0098] Among them, time distance data refers to the shortest time that can be achieved in all aspects by taking various means of transportation within a certain distance in the fastest way of travel. In this application, the time distance function includes: the time parameter from the key point to the observation point and the distance parameter. The distance parameter is the Euclidean distance from the key point to the observation point, also known as the shortest path, and the time parameter is the shortest time from the key point to the observation point.

[0099] Optionally, traverse each key point in each element space layer and use each key point as the target key point, determine multiple time distance data from the target key point to multiple observation points by calling the preset interface, and assign the time distance data from the target key point to each observation point to each observation point in the target area. Until each key point in each element space map is used as the target key point, that is, the number of times each observation point is assigned is the number of key points. The preset interface can be a Baidu map or Amap interface.

[0100] Step 502: Generate a location advantage grid image of each key point based on the time distance data of each key point from multiple observation points.

[0101] Optionally, the time distance data of multiple observation points for each key point are determined respectively, and the time distance data from each observation point to each key point in the raster image is determined according to the administrative division vector layer of the target area to generate a location advantage raster image of each key point.

[0102] Step 503: Perform single-element location advantage analysis based on the location advantage grid images of multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element space layer.

[0103] Optionally, a single-element location advantage analysis is performed based on the location advantage raster images of multiple key points. The specific analysis can be directly superimposing the location advantage raster images of multiple key points, superimposing the location advantage raster images of multiple key points according to weights, or screening from the location advantage raster images of multiple key points, so as to generate a location advantage raster image of the regional influencing factor corresponding to each element space layer.

[0104] In the embodiment of the present application, the location advantage grid image of each key point is generated based on the time distance data of each key point from multiple observation points, and the location advantage grid image of each key point is generated based on the location advantage grid image of each key point. This ensures that the location advantage grid image of each element space layer corresponding to the regional influencing factor is more objective, avoiding subjective bias caused by human judgment.

[0105] Based on the above embodiments, the present application also provides a process for generating a location advantage grid image of each key point in a regional layout evaluation method. Figure 6 A schematic diagram of a process for generating a location advantage grid image of each key point in a regional layout evaluation method provided in an embodiment of the present application, such as Figure 6 As shown, in the above step 502, according to the time distance data of each key point at multiple observation points, a location advantage grid image of each key point is generated, including:

[0106] Step 601: According to the time distance data of multiple observation points for each key point, respectively determine the time parameters from the multiple observation points to each key point, and the distance parameters from the multiple observation points to each key point.

[0107] Among them, the time parameter from multiple observation points to each key point is the shortest time from multiple observation points to each observation point, and the distance parameter from multiple observation points to each key point is the Euclidean distance from multiple observation points to each key point, also known as the shortest path.

[0108] Optionally, the time parameters from multiple observation points to each key point are determined based on the time distance data of multiple observation points for each key point, that is, the shortest time from multiple observation points to each observation point, and the distance parameters from multiple observation points to each key point are determined based on the time distance data of multiple observation points for each key point, that is, the shortest path from multiple observation points to each observation point. The specific shortest path calculation method is to calculate the shortest path from multiple observation points to each key point based on the coordinates of multiple observation points and the coordinates of multiple key points by formula (1). .

[0109] (1)

[0110] in, Represents the shortest path from multiple observation points to each key point, is the number of observation points, is the horizontal coordinate of the key point in the administrative division vector layer, is the vertical coordinate of the key point in the administrative division vector layer, that is, are the coordinates of the key points in the administrative division vector layer, For the The horizontal coordinates of the observation points in the administrative division vector layer, For the The vertical coordinate of the observation point in the administrative division vector layer, that is, For the The coordinates of the observation points in the administrative division vector layer.

[0111] Step 602: According to the distance parameters from the multiple observation points to each key point, a preset inverse distance weighting algorithm is used to determine the weights of the multiple observation points relative to each key point.

[0112] Among them, the inverse distance weight algorithm means that the larger the distance parameter, the smaller the weight. In other words, the farther the observation point is from the key point, the smaller the weight of the observation point, and the closer the observation point is to the key point, the larger the weight.

[0113] Optionally, the preset inverse distance weight algorithm is formula (2), and according to the distance parameters from the multiple observation points to each key point, formula (2) is used to determine the weights of the multiple observation points relative to each key point.

[0114] (2)

[0115] in, For the The weight of each observation point relative to the key point, That is the distance parameter, which is the shortest path from multiple observation points to each key point. For the observation points, is the number of observation points, It is a power parameter, which usually takes a value of 1 or 2. In this application, the power parameter is taken as 2 as an example.

[0116] Step 603: According to the weights of the multiple observation points relative to each key point and the time parameters from the multiple observation points to each key point, a preset interpolation algorithm is used to determine the location advantage parameters of the multiple observation points relative to each key point.

[0117] Among them, the interpolation algorithm is to determine the function value of the unknown point based on the function value of the known point. In the application, it is to determine the location advantage parameters of each key point based on the weights of multiple observation points relative to each key point and the time parameters from multiple observation points to each key point.

[0118] Optionally, the preset interpolation algorithm is formula (3), and the location advantage parameter of each key point is determined by formula (3) according to the weights of multiple observation points relative to each key point and the time parameters from multiple observation points to each key point.

[0119] (3)

[0120] in, is the location advantage parameter of the key point, are the coordinates of the key points in the administrative division vector layer, For the The weight of each observation point relative to the key point, For the observation points, is the number of observation points, For the The coordinates of the observation points in the administrative division vector layer, For the The time parameters of each observation point.

[0121] Step 604: Generate a location advantage raster image of each key point based on the location advantage parameters of multiple observation points relative to each key point and the administrative division vector layer of the target area.

[0122] Optionally, the location advantage parameters of each key point are matched with the administrative division vector layer of the target area to obtain the location advantage raster image of each key point.

[0123] For example, Figure 7 A schematic diagram of a location advantage grid image of a key point in a regional layout evaluation method provided in an embodiment of the present application, such as Figure 7 As shown, the black solid circle is the location of the key point, and the colors of different areas in the schematic diagram of the location advantage grid image of the key point represent the location advantage value of the area for the key point.

[0124] In the embodiment of the present application, the weights of the multiple observation points relative to each key point are determined according to the distance parameters from the multiple observation points to each key point, and the location advantage parameters of the multiple observation points relative to each key point are determined according to the weights of the multiple observation points relative to each key point and the time parameters from the multiple observation points to each key point, so as to obtain a single-element location advantage grid image according to the location advantage parameters of each key point. The accuracy of the generated single-element location advantage grid image is guaranteed, and the precision and generation efficiency of the single-element location advantage grid image are improved.

[0125] On the basis of the above-mentioned embodiments, the present application also provides a process of the location advantage grid image of the regional influencing factors in the regional layout evaluation method. Figure 8 A schematic diagram of a flow chart of a location advantage grid image of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application, such as Figure 8 As shown, in the above step 503, single-element location advantage analysis is performed based on the location advantage grid images of multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element space layer, including:

[0126] Step 801: Determine multiple location advantage parameters of each grid in multiple grids from the location advantage grid images of multiple key points.

[0127] Each grid is a unit in the location advantage grid image, and the location advantage parameter of each grid is equal to the number of key points. For example, if there are four key points, each grid has four location advantage parameters.

[0128] Optionally, the location advantage parameters of each grid are determined from the location advantage grid image of each key point, thereby determining multiple location advantage parameters of each grid.

[0129] Step 802: Using a preset minimum value screening algorithm, determine the minimum location advantage parameter of each grid from multiple location advantage parameters of each grid.

[0130] Among them, the minimum screening method is used to determine the minimum location advantage parameter from multiple location advantage parameters of each grid.

[0131] Optionally, a preset minimum value screening method, namely formula (4), is used to determine the minimum location advantage parameter of each grid from multiple location advantage parameters of each grid.

[0132] (4)

[0133] in, The location advantage grid image grids, for Multiple location advantage parameters for each grid in the location advantage grid image, The location advantage grid image The minimum site advantage parameter of a grid.

[0134] Step 803: Generate a location advantage grid image of the regional influencing element corresponding to each element space layer according to the minimum location advantage parameters of the multiple grids.

[0135] Optionally, the minimum location advantage parameters of each grid are combined into a location advantage grid image, that is, a location advantage grid image for each element spatial layer corresponding to the regional influencing element.

[0136] For example, Fig. 9 A schematic diagram of a location advantage grid image of the first key point of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application, Fig.10 A schematic diagram of a location advantage grid image of a second key point of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application, Fig.11 A schematic diagram of a location advantage grid image of a regional influencing factor in a regional layout evaluation method provided in an embodiment of the present application, such as Fig. 9 , Fig.10 as well as Fig.11 As shown in the figure, the black solid circle is the location of the key point. When there are two key points in a regional influencing factor, Fig. 9 as well as Fig.10 The grid in the dark part is the grid with the minimum value of the location advantage parameter in the location advantage grid image of the first key point and the second key point, which can be determined Fig.11 The darker part is Fig. 9 as well as Fig.10 The collection of medium and dark parts, that is to say Fig.11 The location advantage grid image of regional influencing factors includes Fig. 9 is the location advantage grid image of the first key point and Fig.10 It is the raster set with the minimum value of the location advantage parameter in the location advantage raster image of the second key point.

[0137] In the embodiment of the present application, a preset minimum value screening algorithm is used to determine the minimum location advantage parameter of each grid from multiple location advantage parameters of each grid, thereby generating a location advantage grid image of each element space layer corresponding to the regional influencing factor. The consistency and comparability of the location advantage grid image data of each element space layer corresponding to the regional influencing factor generated are guaranteed, and the demand and complexity of data processing are reduced.

[0138] Based on the above embodiments, the present application also provides a process for generating a multi-factor location advantage grid image of a target area in a regional layout evaluation method. Fig.12 A schematic diagram of a process for generating a multi-factor location advantage grid image of a target area in a regional layout evaluation method provided in an embodiment of the present application, such as Fig.12 As shown, in the above step 104, a multi-factor overlay analysis is performed based on the location advantage grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area, including:

[0139] Step 1201: using multiple levels of preset location advantage parameter ranges, the location advantage parameters of each grid in the location advantage grid image of each regional influencing factor are graded to obtain a location advantage grade grid image of each regional influencing factor.

[0140] Among them, the preset location advantage parameter range is set according to the time parameter in the time distance data. The preset location advantage parameter range is based on time and is divided into five levels: 15 minutes, 30 minutes, 45 minutes, 60 minutes, and more than 60 minutes.

[0141] Optionally, the location advantage parameters of each grid in the location advantage raster image of each regional influencing factor are graded using preset location advantage parameter ranges of five levels: 15 minutes, 30 minutes, 45 minutes, 60 minutes, and above 60 minutes, to obtain a location advantage grade raster image of each regional influencing factor.

[0142] Step 1202: Perform multi-factor overlay analysis based on the location advantage level grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0143] Optionally, a multi-factor overlay analysis is performed based on the location advantage grade raster images of multiple regional influencing factors. The specific analysis process may be to overlay according to the location advantage grades of different regional influencing factors, or to overlay according to the weights of different regional influencing factors, so as to generate a multi-factor location advantage raster image of the target area.

[0144] In the embodiment of the present application, multiple levels of preset location advantage parameter ranges are used to grade the location advantage parameters of each grid in the location advantage grid image of each regional influencing factor, and the location advantage grade grid image of each regional influencing factor is obtained, so that the generated location advantage grade grid image of the regional influencing factor is more intuitive, and the places with smaller location advantage parameter values ​​are quickly determined, which is convenient for highlighting key areas. The key areas of the multi-factor location advantage grid image of the generated target area are more prominent, which is convenient for subsequent data analysis.

[0145] Based on the above embodiment, the present application also provides another process of generating a multi-factor location advantage grid image of a target area in a regional layout evaluation method. Fig.13 A schematic diagram of a process for generating a multi-factor location advantage grid image of a target area in another regional layout evaluation method provided in an embodiment of the present application, such as Fig.13 As shown, in the above step 104, a multi-factor overlay analysis is performed based on the location advantage grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area, including:

[0146] Step 1301: Determine layout guidance weights of multiple regional influencing factors according to their corresponding layout guidance importance.

[0147] Among them, when the regional influencing factor is transportation, the regional layout is oriented towards open and convenient access; when the regional influencing factor is science and technology innovation, the regional layout is oriented towards innovation-driven development; when the regional influencing factor is enterprise, the regional layout is oriented towards major enterprises and major projects; when the regional influencing factor is labor, the regional layout is oriented towards labor support, etc.

[0148] Optionally, the scores of the experts on the importance of the layout orientation of the multiple regional influencing factors are obtained, and the layout orientation weights of the multiple regional influencing factors are determined according to the scores of the experts on the importance of the layout orientation of the multiple regional influencing factors. The score ranges from 0 to 10 points, and the higher the score, the more important the layout orientation of the regional influencing factor is.

[0149] Optionally, according to the scores of experts on the importance of layout orientation of multiple regional influencing factors, the median of the layout orientation importance scores of the regional influencing factors is determined, and according to the multiple medians of the layout orientation importance scores of multiple regional influencing factors and the median of the layout orientation importance scores of each regional influencing factor, the layout orientation weights of the multiple regional influencing factors are determined by formula (5).

[0150] (5)

[0151] in, For the Regional influencing factors, No. The layout guidance weight of the regional influencing factors, For the The median of the layout-oriented importance scores of the regional influencing factors. is the number of regional influencing factors.

[0152] Step 1302: Perform multi-factor overlay analysis on the location advantage grid images of the multiple regional influencing factors according to the layout guidance weights of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0153] Optionally, according to the layout guidance weights of multiple regional influencing factors, a multi-factor overlay analysis is performed on the location advantage grid images of multiple regional influencing factors through formula (6), so as to generate a multi-factor location advantage grid image of the target area.

[0154] (6)

[0155] in, For the The layout guidance weight of the regional influencing factors, For the The locational advantage grid image of the regional influencing factors, is the multi-factor location advantage grid image of the target area, The number of layout-oriented weights for regional influence factors.

[0156] In the embodiment of the present application, according to the layout guidance weights of multiple regional influencing factors, the location advantage grid images of multiple regional influencing factors are subjected to multi-factor overlay analysis to generate a multi-factor location advantage grid image of the target area. This more accurately reflects the relative importance of regional influencing factors and unifies the analysis perspective, thereby improving the accuracy of the regional layout evaluation report.

[0157] Based on the above embodiments, the present application also provides a process for generating a regional layout evaluation report of a target area in a regional layout evaluation method. Fig.14 A schematic diagram of a flow chart of generating a regional layout evaluation report of a target region in a regional layout evaluation method provided in an embodiment of the present application, such as Fig.14 As shown, in the above step 105, a regional layout evaluation report of the target area is generated according to the multi-factor location advantage grid image of the target area, including:

[0158] Step 1401: Overlay the preset layout control lines onto the location advantage grid images of multiple regional influencing elements and the multi-element location advantage grid image of the target area to obtain multiple element grid images and a regional grid image.

[0159] Among them, the preset layout control line is the regional land space control line, and the regional land space control line is the control line of land elements such as the urban development boundary line and the industrial land control line.

[0160] Optionally, the regional land space control line is superimposed on the location advantage raster images of multiple regional influencing factors and the multi-factor location advantage raster image of the target area, and corresponding mapping elements such as frame, map name, legend, compass and scale are added to obtain multiple factor raster images and regional raster images and export them one by one.

[0161] Step 1402: Generate a regional layout evaluation report for the target area based on the data expression logic of the location advantage grid images of multiple regional influencing factors, the weight setting logic of multiple regional influencing factors, multiple element grid images, and regional raster images.

[0162] Among them, the data expression logic of the location advantage grid images of multiple regional influencing factors is the logic of converting the location advantage grid images of multiple regional influencing factors into the multi-factor location advantage grid image of the target area; the weight setting logic of multiple regional influencing factors is the weight setting of the location advantage grid image of multiple regional influencing factors to generate the multi-factor location advantage grid image of the target area. The regional layout evaluation report includes: the overview of the analysis location of the target area, the overview of the layout element data of the target area, the overview of the key points corresponding to the layout elements, the single-factor location advantage analysis, the weight analysis, the comprehensive analysis of the multi-factor superposition, the multi-factor location advantage grid image of the target area, the single-factor location advantage grid image and other information, and the layout element corresponding key points are mainly used to indicate the specific point position of a certain regional influencing factor in the geographic space. The embodiment of the present application does not limit this, and may also include other relevant information of the target area. The regional layout evaluation report is used to assist in determining the target area's carrying space, thereby guiding the resource allocation, industrial layout and regional development strategy of the target area's influencing factors.

[0163] Optionally, based on the data expression logic of the locational advantage raster images of multiple regional influencing factors, the weight setting logic of multiple regional influencing factors, multiple element raster images and regional raster images, a regional layout evaluation report for the target area is generated and exported.

[0164] In an embodiment of the present application, the preset layout control lines are superimposed on the location advantage grid images of multiple regional influencing factors and the multi-factor location advantage grid image of the target area, respectively, to obtain multiple-factor location advantage grid images and multi-factor location advantage grid images with national land space control lines. The preset layout control lines are introduced to simulate the carrying space of the regional layout, solve the problem of extensive occupation of land space, and improve the accuracy and practicality of generating a regional layout evaluation report for the target area.

[0165] Based on the same inventive concept, an embodiment of the present application also provides a regional layout evaluation report generation system corresponding to the regional layout evaluation method. Since the principle of solving the problem by the device in the embodiment of the present application is similar to the above-mentioned regional layout evaluation method in the embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0166] Fig.15 A schematic diagram of the structure of a regional layout evaluation report generation system provided in an embodiment of the present application, such as Fig.15 As shown, the system includes: a data visualization module 1501, a single factor analysis module 1502, a multi-factor analysis module 1503 and an export module 1504.

[0167] The data visualization module 1501 is used to obtain an administrative division vector layer of a target area and multiple element space layers of the target area; the multiple element space layers correspond to multiple regional influencing factors respectively; perform spatial analysis on the administrative division vector layer to determine multiple observation points in the target area;

[0168] The single factor analysis module 1502 is used to perform single factor advantage analysis on multiple key points in each element space layer according to multiple observation points, and generate a location advantage grid image of the regional influencing factor corresponding to each element space layer;

[0169] The multi-factor analysis module 1503 is used to perform multi-factor overlay analysis based on the location advantage grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area;

[0170] The export module 1504 is used to generate a regional layout evaluation report of the target area based on the multi-factor location advantage grid image of the target area.

[0171] In a possible implementation manner, the data visualization module 1501 is further used to obtain a topographic map of the target area.

[0172] In a possible implementation, the data visualization module 1501 is specifically used to: perform geographic boundary registration on the administrative division vector layer and the topographic map to generate a spatial base map of the target area;

[0173] Generate multiple initial key points based on the administrative division vector layer and preset distance parameters;

[0174] According to the spatial base map, multiple initial key points are added and deleted to obtain multiple observation points in the target area.

[0175] In a possible implementation, the single factor analysis module 1502 is specifically used to: obtain the time distance data from each key point to multiple observation points in each element space layer as the time distance data of multiple observation points for each key point;

[0176] Generate a location advantage grid image of each key point based on the time distance data of each key point from multiple observation points;

[0177] The single-element location advantage analysis is performed based on the location advantage grid images of multiple key points to generate the location advantage grid images of the regional influencing factors corresponding to each element spatial layer.

[0178] In a possible implementation, the single factor analysis module 1502 is specifically used to: determine the time parameters from the multiple observation points to each key point and the distance parameters from the multiple observation points to each key point, respectively, according to the time distance data from the multiple observation points to each key point;

[0179] According to the distance parameters from multiple observation points to each key point, a preset inverse distance weight algorithm is used to determine the weights of multiple observation points relative to each key point;

[0180] According to the weights of multiple observation points relative to each key point and the time parameters from multiple observation points to each key point, a preset interpolation algorithm is used to determine the location advantage parameters of multiple observation points relative to each key point;

[0181] Based on the location advantage parameters of multiple observation points relative to each key point and the administrative division vector layer of the target area, a location advantage raster image of each key point is generated.

[0182] In a possible implementation, the single factor analysis module 1502 is specifically used to: determine a plurality of location advantage parameters of each grid in a plurality of grids from the location advantage grid images of a plurality of key points;

[0183] A preset minimum value screening algorithm is used to determine the minimum location advantage parameter of each grid from multiple location advantage parameters of each grid;

[0184] According to the minimum location advantage parameters of multiple grids, the location advantage raster image of the regional influencing elements corresponding to each element spatial layer is generated.

[0185] In a possible implementation, the multi-factor analysis module 1503 is specifically used to: use multiple levels of preset location advantage parameter ranges to grade the location advantage parameters of each grid in the location advantage grid image of each regional influencing factor, and obtain the location advantage grade grid image of each regional influencing factor;

[0186] A multi-factor overlay analysis is performed based on the location advantage grade raster images of multiple regional influencing factors to generate a multi-factor location advantage raster image of the target area.

[0187] In a possible implementation, the multi-factor analysis module 1503 is specifically used to: determine the layout orientation weights of the multiple regional influencing factors according to the importance of the layout orientation corresponding to the multiple regional influencing factors;

[0188] According to the layout guidance weights of multiple regional influencing factors, a multi-factor overlay analysis is performed on the location advantage grid images of multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

[0189] In a possible implementation, the export module 1504 is specifically used to: superimpose the preset layout control lines on the location advantage grid images of multiple regional influencing elements and the multi-element location advantage grid image of the target area, respectively, to obtain multiple element grid images and a regional grid image;

[0190] According to the data expression logic of the location advantage raster images of multiple regional influencing factors, the weight setting logic of multiple regional influencing factors, multiple element raster images and regional raster images, a regional layout evaluation report of the target area is generated.

[0191] The present application also provides a computer device, Fig.16 A schematic diagram of the structure of a computer device provided in an embodiment of the present application is shown in FIG. Fig.16 As shown, the computer device includes: a processor 1601, a memory 1602, and optionally, a bus 1603. The memory 1602 stores machine-readable instructions executable by the processor 1601. When the computer device is running, the processor 1601 communicates with the memory 1602 via the bus 1603. When the machine-readable instructions are executed by the processor 1601, the steps of the above-mentioned regional layout evaluation method are executed.

[0192] The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned regional layout evaluation method are executed.

[0193] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the method embodiment, and will not be repeated in this application. In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0194] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or part of the technical solution that contributes to the prior art or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), disk or optical disk and other media that can store program code.

[0195] The above are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.

Claims

1. A method for evaluating regional layout, characterized in that: The method comprises: Acquire an administrative division vector layer of a target area and a plurality of element space layers of the target area; the plurality of element space layers respectively correspond to a plurality of regional influencing elements; Performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area; According to the multiple observation points, a single factor advantage analysis is performed on the multiple key points in each element space layer to generate a location advantage grid image of the regional influencing factors corresponding to each element space layer; wherein the multiple key points are used to indicate the multiple key elements in each element space layer; Performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area; Generating a regional layout evaluation report of the target area according to the multi-factor location advantage grid image of the target area; The method of performing single factor advantage analysis on multiple key points in each element space layer according to the multiple observation points to generate a location advantage grid image of the regional influencing factors corresponding to each element space layer includes: Obtaining the time distance data from each key point in each element space layer to the multiple observation points as the time distance data of the multiple observation points for each key point; Generating a location advantage grid image of each key point according to the time distance data of each key point from the multiple observation points; Performing single-element location advantage analysis based on the location advantage grid images of the multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element spatial layer; Generating the location advantage grid image of each key point according to the time distance data of each key point from the multiple observation points includes: According to the time distance data of the multiple observation points for each key point, respectively determine the time parameters from the multiple observation points to each key point, and the distance parameters from the multiple observation points to each key point; According to the distance parameters from the multiple observation points to each key point, a preset inverse distance weighting algorithm is used to determine the weights of the multiple observation points relative to each key point; According to the weights of the multiple observation points relative to each key point and the time parameters from the multiple observation points to each key point, a preset interpolation algorithm is used to determine the location advantage parameters of the multiple observation points relative to each key point; wherein the preset interpolation algorithm is ;in, is the location advantage parameter of each key point, is the coordinate of each key point in the administrative division vector layer of the target area, For the The weight of each observation point relative to each key point, For the observation points, is the number of the multiple observation points, For the The coordinates of the observation points in the administrative division vector layer of the target area, For the Time parameters of each observation point; A location advantage raster image of each key point is generated according to the location advantage parameters of the multiple observation points relative to each key point and the administrative division vector layer of the target area.

2. The regional layout evaluation method according to claim 1, characterized in that: Before performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area, the method further includes: Acquire a topographic map of the target area; The performing spatial analysis on the administrative division vector layer to determine a plurality of observation points within the target area includes: Performing geographic boundary registration on the administrative division vector layer and the topographic map to generate a spatial base map of the target area; Based on the administrative division vector layer and the preset distance parameter, generating multiple initial observation points; According to the spatial base map, the multiple initial observation points are added and deleted to obtain multiple observation points in the target area.

3. The regional layout evaluation method according to claim 1, characterized in that: The single-element location advantage analysis is performed based on the location advantage grid images of the multiple key points to generate the location advantage grid images of the regional influencing elements corresponding to each element space layer, including: Determining a plurality of location advantage parameters of each grid in a plurality of grids from the location advantage grid images of the plurality of key points; Using a preset minimum value screening algorithm, determine the minimum location advantage parameter of each grid from the multiple location advantage parameters of each grid; According to the minimum location advantage parameters of the multiple grids, a location advantage grid image of the regional influencing element corresponding to each element space layer is generated.

4. The regional layout evaluation method according to claim 1, characterized in that: The performing of multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area includes: Using multiple levels of preset location advantage parameter ranges, the location advantage parameters of each grid in the location advantage grid image of each regional influencing factor are graded to obtain the location advantage grade grid image of each regional influencing factor; A multi-factor overlay analysis is performed based on the location advantage grade grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

5. The regional layout evaluation method according to claim 1, characterized in that: The performing of multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area includes: Determining layout guidance weights of the plurality of regional influencing factors according to the importance of the plurality of regional influencing factors corresponding to the layout guidance; According to the layout guidance weights of the multiple regional influencing factors, a multi-factor overlay analysis is performed on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area.

6. The regional layout evaluation method according to claim 1, characterized in that: The generating of a regional layout evaluation report of the target area according to the multi-factor location advantage grid image of the target area comprises: Superimposing the preset layout control lines on the location advantage grid images of the multiple regional influencing elements and the multi-element location advantage grid image of the target area, respectively, to obtain multiple element grid images and a regional grid image; A regional layout evaluation report of the target area is generated according to the data expression logic of the location advantage grid images of the multiple regional influencing factors, the weight setting logic of the multiple regional influencing factors, the multiple element grid images and the regional raster image.

7. A regional layout evaluation report generation system, characterized in that: The system comprises: A data visualization module is used to obtain an administrative division vector layer of a target area and a plurality of element space layers of the target area; the plurality of element space layers correspond to a plurality of regional influencing factors respectively; perform spatial analysis on the administrative division vector layer to determine a plurality of observation points in the target area; A single factor analysis module is used to perform single factor advantage analysis on multiple key points in each element space layer according to the multiple observation points, and generate a location advantage grid image of the regional influencing factors corresponding to each element space layer; wherein the multiple key points are used to indicate multiple key elements in each element space layer; A multi-factor analysis module, used for performing multi-factor overlay analysis based on the location advantage grid images of the multiple regional influencing factors to generate a multi-factor location advantage grid image of the target area; An export module, used for generating a regional layout evaluation report of the target area according to the multi-factor location advantage grid image of the target area; The single element analysis module is specifically used to: obtain the time distance data from each key point in each element space layer to the multiple observation points as the time distance data of the multiple observation points for each key point; Generating a location advantage grid image of each key point according to the time distance data of each key point from the multiple observation points; Performing single-element location advantage analysis based on the location advantage grid images of the multiple key points to generate a location advantage grid image of the regional influencing element corresponding to each element spatial layer; The single factor analysis module is specifically used to: determine the time parameters from the multiple observation points to each key point and the distance parameters from the multiple observation points to each key point respectively according to the time distance data from the multiple observation points to each key point; According to the distance parameters from the multiple observation points to each key point, a preset inverse distance weighting algorithm is used to determine the weights of the multiple observation points relative to each key point; According to the weights of the multiple observation points relative to each key point and the time parameters from the multiple observation points to each key point, a preset interpolation algorithm is used to determine the location advantage parameters of the multiple observation points relative to each key point; wherein the preset interpolation algorithm is ;in, That is, the location advantage parameter of each key point. is the coordinate of each key point in the administrative division vector layer of the target area, For the The weight of each observation point relative to each key point, For the observation points, is the number of the multiple observation points, For the The coordinates of the observation points in the administrative division vector layer of the target area, For the Time parameters of each observation point; A location advantage raster image of each key point is generated according to the location advantage parameters of the multiple observation points relative to each key point and the administrative division vector layer of the target area.

8. A computer device, characterized in that: include: A processor and a storage medium, wherein the storage medium stores program instructions executable by the processor, and when the computer device is running, the processor communicates with the storage medium, and the processor executes the program instructions to perform the steps of the regional layout evaluation method as described in any one of claims 1 to 6.

Images