Statistical method, device, medium and equipment for urban adjacent space edge rate

Abstract

The embodiment of the present invention discloses a statistical method, device, medium and equipment for the edge-conforming rate of urban adjacent spaces, and the technical field of residual data processing. The method obtains vector coverage patches of various areas around the urban adjacent spaces; segments the urban boundaries to obtain boundary vector data of each segment; uses the boundary vector data of each segment and the vector coverage patches to obtain a determination result of whether each segment is adjacent to each vector coverage patch; based on all the determination results, a statistical result of the edge-conforming rate of the urban adjacent spaces is obtained, thereby eliminating the need for manual statistics, saving time and effort, and the statistical results are not affected by subjective judgment, and the statistical results are more accurate.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a statistical method, device, medium and equipment for calculating the edge rate of adjacent spaces in a city. Background Art

[0002] The development of urban adjacent space is an important reference for regional development and regional coordinated development. In order to understand the development of urban adjacent space, it is necessary to count the edge rate of urban adjacent space and its surrounding areas (such as forests, planting land, mountains, residential land, etc.).

[0003] At present, manual methods are usually used to count the edge rate of urban adjacent spaces. However, this is time-consuming and labor-intensive, and the statistical results are easily affected by subjective judgment, resulting in low accuracy of the statistical results. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a statistical method, device, medium and equipment for the edge rate of urban adjacent spaces, so as to solve the problem that the existing manual method of counting the edge rate of urban adjacent spaces is time-consuming and labor-intensive, and the statistical results are easily affected by subjective judgment, resulting in low accuracy of the statistical results.

[0005] In a first aspect, an embodiment of the present invention provides a statistical method for the edge rate of urban adjacent spaces, the method comprising:

[0006] Obtaining the city's adjacent space and each area to be counted along the edge, wherein the city's adjacent space includes the city boundary and the city boundary buffer zone;

[0007] Segment the city boundary and obtain the boundary vector data of each segment;

[0008] By using the boundary vector data of each section, the vector coverage patches and the city boundary buffer, the determination result of whether each section is adjacent to each vector coverage patch is obtained;

[0009] Based on all the determination results, the statistical result of the urban adjacent space edge rate is obtained.

[0010] Optionally, the step of obtaining a determination result of whether each section is adjacent to each covering patch by using the boundary vector data of each section, the vector covering patch and the city boundary buffer zone includes:

[0011] Based on the boundary vector data of each segment, determine the normal vector corresponding to each boundary vector data;

[0012] Based on the city boundary buffer, a buffer zone corresponding to each section is determined.

[0013] Based on the vector coverage patches, the buffer zone and the normal vectors of each segment, it is determined whether each segment is adjacent to each vector coverage patch.

[0014] Optionally, the determining whether each segment is adjacent to each vector coverage patch based on the vector coverage patch, the buffer zone and the normal vector of each segment includes:

[0015] Determine whether the buffer of each segment contains at least one vector covering spot. If so, determine whether the segment and the vector covering spot falling into the corresponding buffer are adjacent to each other. If not, determine whether the segment and all the vector covering spots are not adjacent to each other.

[0016] Optionally, the determining whether the segment is adjacent to a vector coverage patch falling into a corresponding buffer zone includes:

[0017] Determine the portion of the vector coverage pattern that falls within the buffer zone of the section as the corresponding target area;

[0018] Performing parallel projection of the target area in the direction of the normal vector of the segment;

[0019] Determine whether the segment intersects with the parallel projection. If so, determine that the segment and the vector coverage pattern corresponding to the parallel projection are adjacent to each other; if not, determine that the segment and the vector coverage pattern corresponding to the parallel projection are not adjacent to each other.

[0020] Optionally, determining the buffer zone corresponding to each section based on the city boundary buffer zone includes:

[0021] The buffer zone of the city boundary is divided into sections to obtain corresponding buffer zones.

[0022] Optionally, obtaining the statistical result of the edge rate of the city adjacent space based on all the determination results includes:

[0023] determining a number of segments bordering at least one of the vector coverage patches;

[0024] The number of segments that are adjacent to at least one of the vector coverage patches is calculated, and their proportion in the total number of segments is calculated to obtain the overall adjacent rate of the city boundary area.

[0025] Optionally, obtaining the statistical result of the edge rate of the city adjacent space based on all the determination results includes:

[0026] determining the selected at least one segment as a target segment;

[0027] Selecting a plurality of continuous segments around each of the target segments;

[0028] Calculating the average edge rate of each target segment and the selected multiple segments;

[0029] Determine the average edge-contact rate as the edge-contact rate of the corresponding target section;

[0030] Based on the edge ratio of each target section, an edge curve is obtained.

[0031] In a second aspect, an embodiment of the present invention provides a statistical device for calculating the edge rate of adjacent spaces in a city, including:

[0032] An acquisition module is used to acquire the city adjacent space and each area to be counted along the edge, wherein the city adjacent space includes the city boundary and the buffer zone;

[0033] The segmentation module is used to segment the city boundary and obtain the boundary vector data of each segment;

[0034] A judgment module is used to obtain a judgment result of whether each section is adjacent to each vector coverage patch by using the boundary vector data of each section, the vector coverage patch and the city boundary buffer zone;

[0035] The statistical module is used to obtain the statistical result of the edge rate of the city's adjacent space based on all the determination results.

[0036] In a third aspect, an embodiment of the present invention provides a storage medium, wherein the storage medium stores at least one executable instruction, and the executable instruction enables a processor to execute operations corresponding to the above-mentioned statistical method for the edge rate of urban adjacent spaces.

[0037] In a fourth aspect, an embodiment of the present invention provides a computer device, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0038] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the above-mentioned statistical method for the edge rate of urban adjacent spaces.

[0039] According to an embodiment of the present invention, a statistical method, device, medium and equipment for the edge-conforming rate of urban adjacent spaces are provided. The method obtains vector coverage patches of each area around the urban adjacent space; segments the urban boundary to obtain boundary vector data of each segment; uses the boundary vector data of each segment and the vector coverage patches to obtain a determination result of whether each segment is adjacent to each vector coverage patch; based on all the determination results, a statistical result of the edge-conforming rate of urban adjacent spaces is obtained, thereby eliminating the need for manual statistics, saving time and effort, and the statistical result is not affected by subjective judgment, and the statistical result is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The following drawings of the present invention are used as part of the embodiments of the present invention for understanding the present invention. The embodiments of the present invention are shown in the drawings and the description thereof is used to explain the principle of the present invention.

[0041] In the attached figure:

[0042] Figure 1 It is a flow chart of a statistical method for the urban adjacent space edge rate according to an optional embodiment of the present invention;

[0043] Figure 2 is a flowchart of step S13 according to an optional embodiment of the present invention;

[0044] Figure 3 is a flowchart of step S133 according to an optional embodiment of the present invention;

[0045] Figure 4 is a flowchart of step S1332 according to an optional embodiment of the present invention;

[0046] Figure 5 is a flowchart of step S14 according to an optional embodiment of the present invention;

[0047] Figure 6 is a flowchart of step S14 according to another optional embodiment of the present invention;

[0048] Figure 7 The figure is a schematic diagram of the structure of a statistical device for calculating the edge rate of urban adjacent spaces according to an optional embodiment of the present invention. DETAILED DESCRIPTION

[0049] In the following description, a large number of specific details are provided to provide a more thorough understanding of the present invention. However, it is apparent to those skilled in the art that the present invention can be implemented without one or more of these details. In other examples, in order to avoid confusion with the present invention, some technical features well known in the art are not described.

[0050] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should also be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, integral bodies, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integral bodies, steps, operations, elements, components and / or combinations thereof.

[0051] Now, exemplary embodiments according to the present invention will be described in more detail with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in a variety of different forms and should not be interpreted as being limited to the embodiments set forth herein. It should be understood that these embodiments are provided to make the disclosure of the present invention thorough and complete, and to fully convey the concept of these exemplary embodiments to those of ordinary skill in the art.

[0052] First, as Figure 1 As shown, an embodiment of the present invention provides a statistical method for calculating the edge rate of adjacent spaces in a city, including:

[0053] Step S11: Obtain the city's adjacent space and the areas to be counted.

[0054] The areas to be counted include but are not limited to forests, plantations, mountains, residential land, industrial land, commercial land, water bodies, etc. selected by the staff. The vector coverage map of each area can be obtained by existing methods, which will not be repeated here.

[0055] The urban adjacent space includes the urban boundary and the urban boundary buffer zone. The urban boundary buffer zone is obtained by extending a certain distance (such as 1km, 2km, 5km, etc.) outward from the urban boundary. The length of the distance can be set by the staff and is not strictly limited in this embodiment.

[0056] Step S12: Segment the city boundary to obtain boundary vector data of each segment.

[0057] The number and size of the segments can be set by the staff. The more segments there are, the smaller each segment is, and the higher the accuracy of the statistical results. The boundary vector data of each segment can be obtained by dividing the boundary vector data of the city boundary into segments.

[0058] Step S13: using the boundary vector data of each section, the vector coverage patches and the city boundary buffer, a determination result of whether each section is adjacent to each vector coverage patch is obtained.

[0059] Step S14: Based on all the determination results, the statistical result of the urban adjacent space edge rate is obtained.

[0060] In this embodiment, the method obtains vector coverage patches of each area around the city's adjacent space; segments the city's boundary to obtain boundary vector data of each segment; uses the boundary vector data of each segment and the vector coverage patches to determine whether each segment is adjacent to each vector coverage patch; based on all the determination results, obtains statistical results of the adjacent space rate of the city, thereby eliminating the need for manual statistics, saving time and effort, and the statistical results are not affected by subjective judgment, and the statistical results are more accurate.

[0061] In the above embodiment, if Figure 2 As shown, step S13 specifically includes:

[0062] Step S131: Based on the boundary vector data of each segment, determine the normal vector corresponding to each boundary vector data.

[0063] The boundary vector of the segment can be obtained through the boundary vector data of the segment, and then the corresponding normal vector can be obtained by making a vector perpendicular to the boundary vector.

[0064] Step S132: Based on the city boundary buffer zone, determine the buffer zone corresponding to each section.

[0065] Step S133: Based on the vector coverage patches, the buffer zone and the normal vectors of each segment, determine whether each segment is adjacent to each vector coverage patch.

[0066] Specifically, in the above embodiment, if Figure 3 As shown, step S133 includes:

[0067] Step S1331: Determine whether the buffer of each segment contains at least one vector coverage patch. If so, execute step S1332; if not, execute step S1333.

[0068] The buffer of each segment may contain one vector coverage spot, more than one vector coverage spot, or no vector coverage spot. If part or all of at least one vector coverage spot falls into the buffer of a segment, it can be determined that the buffer of the segment contains the vector coverage spot.

[0069] Step S1332: Determine whether the segment is aligned with the vector coverage patch falling into the corresponding buffer zone.

[0070] If it is determined that the buffer of a certain segment contains at least one vector coverage spot, then it is necessary to further determine whether the segment is adjacent to the vector coverage spot falling into the corresponding buffer to determine whether the segment is adjacent to the area to which the vector coverage spot falling into the corresponding buffer belongs.

[0071] Step S1333: Determine that the segment does not overlap with any of the vector coverage patches.

[0072] If it is determined that the buffer of a certain segment does not contain any vector coverage spots, that is, no vector coverage spots fall into the buffer of the segment, then it can be determined that the segment is not adjacent to any vector coverage spots, that is, the segment is not adjacent to the areas to which each vector coverage spot belongs.

[0073] Specifically, in the above embodiment, if Figure 4As shown, step S1332 includes:

[0074] Step S13321: The portion of the vector coverage patch that falls into the buffer zone of the segment is determined as the corresponding target area.

[0075] Step S13322: perform parallel projection of the target area in the direction of the normal vector of the segment.

[0076] Step S13323: Determine whether the segment intersects with the parallel projection, if so, execute step S13324; if not, execute step S13325.

[0077] By judging whether the parallel projection at least partially falls within the segment, it is judged whether the segment intersects with the parallel projection. Specifically, if part or all of the parallel projection falls within the segment, it is determined that the segment intersects with the parallel projection; if the parallel projection is entirely outside the segment, it is determined that the segment does not intersect with the parallel projection. Further, in the actual intersection judgment processing process, a normal vector and parallel projection intersection calculation method can be used to accelerate the data processing process.

[0078] Step S13324: Determine the overlap between the segment and the vector coverage patch corresponding to the parallel projection.

[0079] Determining the edge of the segment and the vector coverage pattern corresponding to the parallel projection also determines the edge of the segment and the area to which the vector coverage pattern belongs.

[0080] Step S13325: Determine whether the segment and the vector coverage patch corresponding to the parallel projection are not overlapping.

[0081] It is determined that the segment does not overlap with the vector coverage pattern corresponding to the parallel projection, which means that the segment does not overlap with the area to which the vector coverage pattern belongs.

[0082] The result obtained through the above steps may be that a segment is aligned with the vector coverage patch corresponding to one parallel projection, or that the segment is aligned with the vector coverage patch corresponding to more than one parallel projection, or that the segment is not aligned with the vector coverage patch corresponding to any parallel projection.

[0083] In this embodiment, it is possible to accurately determine whether each segment is adjacent to the vector coverage patch falling into the corresponding buffer zone, thereby improving the accuracy of the adjacent determination and further improving the accuracy of the adjacent rate statistics.

[0084] Specifically, in the above embodiment, step S132 includes:

[0085] The buffer zone at the city boundary is divided into sections to obtain the corresponding buffer zone.

[0086] In some embodiments, Figure 5 As shown, step S14 specifically includes:

[0087] Step S1401: Determine the number of segments that are adjacent to at least one vector coverage patch.

[0088] Step S1402: Calculate the number of segments that are adjacent to at least one vector coverage patch and their proportion in the total number of segments to obtain the overall adjacent rate of the city boundary area.

[0089] For example, if the total number of segments is 100 and the number of segments with at least one vector covering patch is 60, then the overall overlap rate of the city boundary area is 60%.

[0090] In other embodiments, Figure 6 As shown, step S14 specifically includes:

[0091] Step S1411: Determine at least one selected segment as a target segment.

[0092] The target segment can be selected from any of all the segments, and the selected segment can be a part of all the segments or all the segments.

[0093] Step S1412: Select multiple continuous segments around each target segment.

[0094] The number of the multiple continuous sections around the target section can be set by the staff, and is not strictly limited in this embodiment.

[0095] Exemplarily, five consecutive segments on the left side of the target segment are selected, and five consecutive segments on the right side of the target segment are selected.

[0096] Step S1413: Calculate the average edge rate of each target segment and the selected multiple segments.

[0097] Exemplarily, if there are six segments in the target segment and five consecutive segments on its left and right sides (ie, 11 segments) that are aligned with at least one vector coverage patch, then the average alignment rate is 6÷11=54.5%.

[0098] Step S1414: Determine the average edge ratio as the edge ratio of the corresponding target segment.

[0099] Step S1415: Obtaining an edge fitting curve based on the edge fitting rate of each target segment.

[0100] In the above embodiment, different statistical methods may be used to count the edge rate, thereby improving the statistical flexibility and meeting actual statistical needs.

[0101] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0102] In the second aspect, the statistical device for calculating the edge rate of the adjacent space of the city corresponds to the statistical method for calculating the edge rate of the adjacent space of the city in the above embodiment. Figure 7 As shown, the statistical devices for the adjacent space edge rate of the city include:

[0103] The acquisition module 201 is used to acquire the city adjacent space and each area to be counted along the edge, and the city adjacent space includes the city boundary and the buffer zone;

[0104] The segmentation module 202 is used to segment the city boundary and obtain boundary vector data of each segment;

[0105] The judgment module 203 is used to obtain a judgment result of whether each section is adjacent to each vector coverage patch by using the boundary vector data of each section, the vector coverage patch and the city boundary buffer zone;

[0106] The statistical module 204 is used to obtain the statistical result of the urban adjacent space edge rate based on all the determination results.

[0107] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0108] Obtaining the city's adjacent space and each area to be counted along the edge, wherein the city's adjacent space includes the city boundary and the city boundary buffer zone;

[0109] Segment the city boundary and obtain the boundary vector data of each segment;

[0110] By using the boundary vector data of each section, the vector coverage patches and the city boundary buffer, the determination result of whether each section is adjacent to each vector coverage patch is obtained;

[0111] Based on all the determination results, the statistical result of the urban adjacent space edge rate is obtained.

[0112] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0113] Obtaining the city's adjacent space and each area to be counted along the edge, wherein the city's adjacent space includes the city boundary and the city boundary buffer zone;

[0114] Segment the city boundary and obtain the boundary vector data of each segment;

[0115] By using the boundary vector data of each section, the vector coverage patches and the city boundary buffer, the determination result of whether each section is adjacent to each vector coverage patch is obtained;

[0116] Based on all the determination results, the statistical result of the urban adjacent space edge rate is obtained.

[0117] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can refer to the relevant descriptions on the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0118] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0119] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0120] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A statistical method for the edge rate of urban adjacent spaces, characterized in that: The method comprises: Obtaining the city's adjacent space and each area to be counted along the edge, wherein the city's adjacent space includes the city boundary and the city boundary buffer zone; Segmenting the city boundary to obtain boundary vector data of each segment; By using the boundary vector data of each section, the vector coverage patches and the city boundary buffer, the determination result of whether each section is adjacent to each vector coverage patch is obtained; Based on all the determination results, the statistical result of the urban adjacent space edge rate is obtained; The method of using the boundary vector data of each section, the vector coverage patches and the city boundary buffer zone to obtain the determination result of whether each section is adjacent to each coverage patch includes: Based on the boundary vector data of each segment, determine the normal vector corresponding to each boundary vector data; Based on the city boundary buffer zone, determining the buffer zone corresponding to each section; Determine whether the buffer of each segment contains at least one vector covered pattern spot; if not, determine that the segment is not adjacent to any of the vector covered pattern spots; If yes, the portion of the vector coverage pattern falling within the buffer zone of the segment is determined as the corresponding target area; Performing parallel projection of the target area in the direction of the normal vector of the segment; Determine whether the segment intersects with the parallel projection; if so, determine that the segment and the vector coverage pattern corresponding to the parallel projection are adjacent to each other; if not, determine that the segment and the vector coverage pattern corresponding to the parallel projection are not adjacent to each other.

2. The method according to claim 1, characterized in that The determining of the buffer zone corresponding to each section based on the city boundary buffer zone includes: The buffer zone of the city boundary is divided into sections to obtain corresponding buffer zones.

3. The method according to claim 1, characterized in that Based on all the determination results, the statistical results of the urban adjacent space edge rate are obtained, including: determining a number of segments bordering at least one of the vector coverage patches; The number of segments that are adjacent to at least one of the vector coverage patches is calculated, and their proportion in the total number of segments is calculated to obtain the overall adjacent rate of the city boundary area.

4. The method according to claim 1, characterized in that: Based on all the determination results, the statistical results of the urban adjacent space edge rate are obtained, including: determining the selected at least one segment as a target segment; Selecting a plurality of continuous segments around each of the target segments; Calculating the average edge rate of each target segment and the selected multiple segments; Determine the average edge-contact rate as the edge-contact rate of the corresponding target section; Based on the edge ratio of each target section, an edge curve is obtained.

5. A statistical device for calculating the rate of urban adjacent space, characterized in that: include: An acquisition module is used to acquire the city adjacent space and each area to be counted along the edge, wherein the city adjacent space includes the city boundary and the city boundary buffer zone; The segmentation module is used to segment the city boundary and obtain the boundary vector data of each segment; A judgment module is used to obtain a judgment result of whether each section is adjacent to each vector coverage patch by using the boundary vector data of each section, the vector coverage patch and the city boundary buffer zone; A statistical module, used for obtaining the statistical result of the edge rate of the adjacent space of the city based on all the determination results; The method of using the boundary vector data of each section, the vector coverage patches and the city boundary buffer zone to obtain the determination result of whether each section is adjacent to each coverage patch includes: Based on the boundary vector data of each segment, determine the normal vector corresponding to each boundary vector data; Based on the city boundary buffer zone, determining the buffer zone corresponding to each section; Determine whether the buffer of each segment contains at least one vector covered pattern spot; if not, determine that the segment is not adjacent to any of the vector covered pattern spots; If yes, the portion of the vector coverage pattern falling within the buffer zone of the segment is determined as the corresponding target area; Performing parallel projection of the target area in the direction of the normal vector of the segment; Determine whether the segment intersects with the parallel projection; if so, determine that the segment and the vector coverage pattern corresponding to the parallel projection are adjacent to each other; if not, determine that the segment and the vector coverage pattern corresponding to the parallel projection are not adjacent to each other.

6. A storage medium storing at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the statistical method for the urban adjacent space edge rate as described in any one of claims 1-4.

7. A computer device comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the statistical method for the urban adjacent space edge rate according to any one of claims 1-4.

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