Method and device for determining territorial space statistical standard unit by using data calculation

Abstract

The invention relates to a method and a device for determining a territorial space statistical standard unit by using data calculation, belongs to the technical field of territorial space big data processing, and solves the problems that an existing statistical unit division method is lack of multi-scale adaptive capacity, unreasonable in boundary control and unstable in space structure. The territorial space statistical standard unit determination method comprises the following steps: constructing a first-level plaque unit according to multi-source space data, and carrying out geometric structure optimization on the first-level plaque unit to form a second-level plaque unit; performing spatial neighborhood merging optimization processing and integrity constraint verification processing on the secondary plaque unit to obtain a minimum function statistics standard unit; and dividing each minimum function statistics standard unit according to the set levels, executing neighborhood search merging on the minimum function statistics standard units smaller than the corresponding first set area threshold in each set level, and determining the territorial space statistics standard unit of each set level. The method has the advantages of multi-scale adaptive capacity, reasonable boundary control and stable space structure.

Description

Technical Field

[0001] The present application relates to the technical field of land space planning data processing, and in particular to a method and device for determining land space statistical standard units using data calculation. Background Art

[0002] National land space planning is a long-term plan and overall arrangement of the national land space resources and layout, aiming to achieve effective control and scientific management of national land space and promote the balance between development and protection. In recent years, national land space planning has gradually shifted from traditional "land use layout control" to "functional overall management" and "multi-objective integrated coordination", which has put forward higher requirements on the expression ability and application adaptability of spatial information units.

[0003] Functional statistical standard units are used to divide national territory into quantifiable, comparable and updateable basic statistical units. They are used to carry various attribute information such as land use structure, ecological protection needs, population distribution, spatial development intensity, etc. They are the data basis for application links such as function identification, classification analysis, scenario simulation and policy evaluation. In practical applications, they need to meet the complex requirements of clear spatial boundaries, aggregatable attribute data, hierarchical functional expression, and adaptability to multi-scale tasks. In national territory space planning, the application of the national territory space information model TIM (Territory Information Mode) is gradually becoming popular. TIM is an open information model framework that needs to be connected to current relevant standards and models, including model information standards such as BIM / CIM. TIM will further expand the basic model based on the existing GIS data model, including spatial entities, activity complexes, network models, etc., to meet the requirements of global and full-space data expression. Among them, the national territory space functional statistical standard unit is the smallest entity depicted by the national territory space information model TIM. It is the basic unit for monitoring and management of national territory space planning implementation, and is crucial to ensuring the accuracy and scientificity of the main function analysis data. The national territory space functional statistical standard unit usually has a standardized and coded name and is divided based on specific indicators.

[0004] However, the existing functional statistical standard unit division scheme mainly relies on administrative divisions, land status maps or traditional geographical division units. When facing the needs of multi-scale national land space functional statistics, the following technical problems still need to be solved: Lack of multi-scale adaptability: The existing scheme has a fixed division granularity and cannot flexibly aggregate scales according to different analysis objectives and planning levels, making it difficult to support integrated spatial analysis from micro-control to macro-assessment. Unreasonable boundary control: The division process fails to systematically introduce spatial control lines, which easily causes functional units to cross the control boundary, affecting the boundary consistency and operability of the plan. Unstable spatial structure: Due to the lack of a unified spatial rule and data fusion mechanism, the patch morphology is fragmented, the area is disparate, and the boundaries are complex, which is not conducive to spatial statistics and subsequent model analysis, nor is it conducive to the scientific, dynamic and intelligent management of national land space. Summary of the invention

[0005] In view of the above analysis, an embodiment of the present invention aims to provide a method and device for determining a standard unit of national land space statistics using data calculation, so as to solve the problems of lack of multi-scale adaptability, unreasonable boundary control and unstable spatial structure in the existing national land space statistical unit division scheme.

[0006] The present application embodiment provides a method for determining a national land space statistical standard unit using data calculation, comprising the steps of: Constructing a primary patch unit according to multi-source spatial data, and optimizing the geometric structure of the primary patch unit to form a secondary patch unit; The spatial neighborhood merging optimization process and the integrity constraint verification process are sequentially performed on the secondary patch units to obtain the minimum functional statistical standard unit; Divide each minimum functional statistical standard unit according to the set level, and perform neighborhood search and merging on the minimum functional statistical standard unit within each set level that is smaller than the corresponding first set area threshold to determine the national land space statistical standard unit of each set level; Neighborhood search merging includes the following steps: Counting standard units with minimum functionality As the center, enter the first neighborhood search merge: ; like , the merge is complete; otherwise, the second neighborhood search merge is started: ; like , the merge is complete; otherwise, the third neighborhood search merge is started: ; like , the merger is completed; in, Representation and Adjacent The set of neighboring units of order, =1,2,3; express Neighborhood unit area; for With Order Neighborhood Unit The sum of the areas of =1,2,3; Set the area threshold for the first.

[0007] The method for determining the national land space statistical standard unit using data calculation in the embodiment of the present application integrates and processes multi-source national land space data based on spatial data calculation rules, and constructs a standardized, data-driven minimum functional statistical standard unit division model. It can generate minimum functional statistical standard units with unified spatial granularity and adapt to multi-scale planning goals, significantly improve the spatial support accuracy and analysis application basis of national land space planning implementation, and help to realize the scientific, dynamic and intelligent management of national land space.

[0008] As one of the optional embodiments, the process of constructing a primary patch unit according to multi-source spatial data includes the following steps: Acquire multi-source spatial data, including nature reserve boundary data, watershed boundary data, village and community boundary data, road network data, and land use status data; Perform unified coordinate projection transformation, vector boundary topology correction and format standardization on multi-source spatial data to obtain multi-source processed data; Spatial overlay analysis is performed based on multi-source processed data, and the surface element segmentation operation is used to generate initial spatial patches to form primary patch units.

[0009] As one of the optional embodiments, the process of optimizing the geometric structure of the primary plaque unit to form the secondary plaque unit includes the steps of: The first-level patch units whose perimeter-to-area ratio is less than the set ratio are merged with the adjacent patches; The neighbor merging process is performed on the primary patch units whose area is smaller than the area control threshold.

[0010] As one of the optional embodiments, the process of performing spatial neighborhood merging optimization processing on the secondary patch unit includes the steps of: A spatial neighborhood merging optimization process is performed on the secondary patch units whose areas are smaller than the second set area threshold.

[0011] As one of the optional embodiments, the integrity constraint verification process is as follows: If the setting unit satisfies , delete the intersection part of the setting unit with the minimum function statistical standard unit as the new minimum function statistical standard unit; where and represent the minimum function statistical standard unit intersecting with the setting unit ; For the minimum administrative region boundary , its expression form is: ; where represents the minimum function statistical standard unit represents the administrative region unit; If and , then re-divide the minimum administrative region boundary according to the minimum function statistical standard unit .

[0012] As an optional embodiment, the first set area threshold corresponds to the set level and is the lower quartile of all minimum function statistical standard units within the corresponding set level.

[0013] As an optional embodiment, it further includes the steps of: Construct a standard geographic information system layer and attribute table according to the national land space statistical standard units of each set level.

[0014] The embodiment of the present application also provides a national land space statistical standard unit determination device using data calculation, including: A unit initialization module, configured to construct a first-level patch unit according to multi-source spatial data and optimize the geometric structure of the first-level patch unit to form a second-level patch unit; A unit preprocessing module, configured to sequentially perform spatial neighborhood merging optimization processing and integrity constraint verification processing on the second-level patch unit to obtain the minimum function statistical standard unit; A unit division module, configured to divide each minimum function statistical standard unit according to the set level and perform neighborhood search and merging on the minimum function statistical standard units within each set level that are smaller than the corresponding first set area threshold to determine the national land space statistical standard units of each set level; The neighborhood search and merging includes the following steps: Centered on the minimum function statistical standard unit , enter the first neighborhood search and merging: ; If , the merge is complete; otherwise, the second neighborhood search merge is started: ; like , the merge is complete; otherwise, the third neighborhood search merge is started: ; like , the merger is completed; in, Representation and Adjacent The set of neighboring units of order, =1,2,3; express Neighborhood unit area; for With Order Neighborhood Unit The sum of the areas of =1,2,3; Set the area threshold for the first.

[0015] The device for determining the national land space statistical standard unit using data calculation in the embodiment of the present application integrates and processes multi-source national land space data based on spatial data calculation rules, and constructs a standardized, data-driven minimum functional statistical standard unit division model. It can generate minimum functional statistical standard units with unified spatial granularity and adapt to multi-scale planning goals, significantly improve the spatial support accuracy and analysis application basis of national land space planning implementation, and help to realize scientific, dynamic and intelligent national land space governance.

[0016] At least one embodiment of the present application further provides a data control device, including: one or more memories non-transitorily storing computer-executable instructions; One or more processors are configured to run computer executable instructions, wherein the computer executable instructions, when executed by one or more processors, implement a method for determining a standard unit of land and space statistics using data calculation according to any embodiment of the present application.

[0017] The above-mentioned data control device, based on spatial data calculation rules, integrates and processes multi-source national land space data, constructs a standardized, data-driven minimum functional statistical standard unit division model, and can generate minimum functional statistical standard units with unified spatial granularity and adapt to multi-scale planning goals, significantly improving the spatial support accuracy and analysis application basis of national land space planning implementation, and helping to realize the scientific, dynamic and intelligent national land space governance.

[0018] At least one embodiment of the present application further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, a method for determining a national land spatial statistical standard unit using data calculus according to any embodiment of the present application is implemented.

[0019] Based on the spatial data calculus rules, the above-mentioned non-transitory computer-readable storage medium performs fusion processing on multi-source national land spatial data, constructs a standardized and data-driven minimum functional statistical standard unit division model, and can generate minimum functional statistical standard units with a unified spatial granularity and adaptable to multi-scale planning objectives, significantly improving the spatial support accuracy and analysis application foundation for the implementation of national land spatial planning, and contributing to the scientific, dynamic, and intelligent management of national land space. Brief Description of the Drawings

[0020] Figure 1 It is a flowchart of a method for determining a national land spatial statistical standard unit using data calculus according to an embodiment of the application; Figure 2 It is a structural diagram of a module of a device for determining a national land spatial statistical standard unit using data calculus according to an embodiment of the application; Figure 3 It is a schematic block diagram of a data control device provided by the present invention; Figure 4 It is a schematic diagram of a non-transitory computer-readable storage medium provided by the present invention. Detailed Embodiments

[0021] In order to make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the described embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0022] Unless otherwise defined, the technical terms or scientific terms used in this application should be understood by people with ordinary skills in the field to which this application belongs. "First", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0023] In order to keep the following description of the embodiments of the present application clear and concise, the present application omits detailed descriptions of some known functions and known components.

[0024] An embodiment of the present application provides a method for determining standard units of national land space statistics using data calculation.

[0025] Figure 1 This is a flow chart of a method for determining a standard unit of national land space statistics using data calculation in an embodiment of an application, such as Figure 1 As shown, a method for determining a national land space statistical standard unit using data calculation in an embodiment of the application includes steps S100 to S103: S100, constructing a primary patch unit according to multi-source spatial data, and optimizing the geometric structure of the primary patch unit to form a secondary patch unit; S101, sequentially performing spatial neighborhood merging optimization processing and integrity constraint verification processing on the secondary patch units to obtain a minimum functional statistical standard unit; S102, dividing each minimum functional statistical standard unit according to the set level, and performing neighborhood search and merging on the minimum functional statistical standard unit within each set level that is smaller than the corresponding first set area threshold, to determine the national land space statistical standard unit of each set level; Neighborhood search merging includes the following steps: Counting standard units with minimum functionality As the center, enter the first neighborhood search merge: ; like , the merge is complete; otherwise, the second neighborhood search merge is started: ; like , the merging is completed; otherwise, enter the third neighborhood search and merging: ; If , the merging is completed; Among them, represents the -th order neighborhood cell set adjacent to , = 1, 2, 3; represents 's neighborhood cell 's area; is 's sum of areas with its -th order neighborhood cell , = 1, 2, 3; is the first set area threshold.

[0026] Specifically, with the minimum functional statistical standard cell as the center, conduct the first neighborhood search and merging. Define as 's sum of areas with its first-order neighborhood cell . Select the cell with the smallest area in the neighborhood set for merging, and calculate the sum of areas after merging: ; Among them, represents the first-order neighborhood cell set adjacent to the cell , represents the area of the neighborhood cell . If , the merging is completed; otherwise, enter the second neighborhood search and merging.

[0027] With the minimum functional statistical standard cell as the center, conduct the second neighborhood search and merging. Define as 's sum of areas with its second-order neighborhood cell . Select the cell with the smallest area in the neighborhood set for merging, and calculate the sum of areas after merging: ; Among them, represents the second-order neighborhood cell set adjacent to the cell , represents the area of the neighborhood cell . If , the merging is completed; otherwise, enter the third neighborhood search and merging.

[0028] Centered on the smallest functional statistical standard cell , perform the third neighborhood search and merging. Define as the sum of the areas of and its third-order neighborhood cells. Select the cell with the smallest area in the neighborhood set for merging, and calculate the area sum after merging: ; wherein, represents the set of third-order neighborhood cells adjacent to cell , and represents the area of neighborhood cell . If , the merging is completed.

[0029] Through the above steps, during each neighborhood merging, preferentially select the cell with the smallest area for merging. If a certain merging satisfies (where ), then cell is successfully merged; otherwise, continue with the subsequent merging operations until all cells meet the merging conditions or reach the maximum number of merges.

[0030] S103. Construct a standard geographic information system layer and attribute table based on the national territorial space statistical standard cells at each set level.

[0031] Among them, the multi-source spatial data includes nature reserve boundary data, watershed boundary data, village and community boundary data, road network data, and land use status data.

[0032] Preferably, the process of constructing the first-level patch units according to the multi-source spatial data in step S100 includes the steps of: Obtain multi-source spatial data; Perform unified coordinate projection conversion, vector boundary topology correction, and format standardization processing on the multi-source spatial data to obtain multi-source processed data; Perform spatial overlay analysis based on the multi-source processed data, and generate initial spatial patches through polygon feature segmentation operations to form the first-level patch units.

[0033] By obtaining multi-source spatial data closely related to national territorial space division, and performing unified coordinate projection conversion, vector boundary topology correction, and format standardization processing on the multi-source spatial data, the data superposition ability and boundary closure in the subsequent spatial division process are ensured. This step is the prerequisite for forming the basis of spatial division, and can ensure the consistency and integrity of the source data. ​​​​​

[0034] Based on the processed watershed boundary data and road network data, a spatial overlay analysis is carried out, and a polygon element segmentation operation is used to generate initial spatial patches, forming a first-level patch set including multiple first-level patch units. This operation uses both natural boundaries (watersheds) and artificial boundaries (roads) as the spatial division framework to ensure the coordination of the division results in ecological logic and development logic, and constructs basic units with clear boundaries and physical separation meanings.

[0035] Based on this, the process of optimizing the geometric structure of the first-level patch units in step S101 to form second-level patch units includes the steps of: Performing boundary adsorption and adjacent patch merging processing on the first-level patch units with a perimeter-area ratio less than the set ratio; Performing adjacent merging processing on the first-level patch units with an area less than the area regulation threshold.

[0036] To optimize the geometric structure of the first-level patch units, first calculate the perimeter-area ratio of each first-level patch unit , which is used to judge the regularity of its spatial form. This ratio is defined as follows: ; Among them, represents the perimeter of the first-level patch unit, represents the area of the first-level patch unit, The larger it is, the more complex the boundary corresponding to the unit area is, and the more fragmented the patch is. Set the threshold , when a certain first-level patch unit satisfies (for example, when the set ratio is 10, it is judged as a fragmented patch. At this time, boundary adsorption and adjacent patch merging processing are performed on this first-level patch unit to improve the patch shape regularity and boundary simplicity. At the same time, set the area regulation threshold , and perform adjacent merging on the first-level patch units with an area less than as well to avoid forming spatial units with too fine statistical granularity, and finally generate second-level patch units with regular shapes that meet the requirements of subsequent analysis.

[0037] Based on the second-level patch units, perform an area scale verification on them, screen out the units with independent analysis value, and perform spatial neighborhood merging optimization on the second-level patch units with relatively small areas to further improve the statistical stability and analysis adaptability of the spatial units.

[0038] Preferably, the process of performing spatial neighborhood merging optimization processing on the second-level patch units in step S101 includes the steps of: Performing spatial neighborhood merging optimization processing on the second-level patch units with an area less than the second set area threshold.

[0039] Specifically, calculate the area of each secondary patch unit and compare it with the set second set area threshold . The second set area threshold can be set as the lower quartile of the area set of all secondary patch units, that is: ; ; where the second set area threshold represents the lower quartile statistical value of the area set of secondary patch units, is the number of patches. For patches that meet , retain their boundary and attribute information and directly use them as candidate statistical units; for secondary patch units with an area smaller than the threshold , trigger the spatial neighborhood merging and optimization process.

[0040] The spatial neighborhood merging and optimization process is executed based on the following principles: 1. The principle of spatial adjacency priority: select from adjacent patches that have direct boundary contact with the current secondary patch unit; 2. The principle of similarity of uses priority: preferentially merge secondary patch units with the closest land use types or functional attributes; 3. The principle of minimum boundary increment: among multiple mergeable objects, preferentially select the target with the smallest newly added boundary length after merging to minimize morphological disturbance.

[0041] Through the above strategy, the orderly merging of patches with insufficient area is achieved, and the boundary and area values of secondary patch units are updated after each merge. Finally, a set of candidate secondary patch units with an area meeting the threshold requirements and high spatial stability is generated as the input data for the next integrity check.

[0042] Preferably, the integrity constraint check in step S101 is processed as follows: If the set unit meets , delete the intersecting part of the set unit with the minimum function statistical standard unit as the new minimum function statistical standard unit; where and represent the minimum function statistical standard units intersecting with the set unit ; For the minimum administrative region boundary , its expression form is: ; where represents the minimum function statistical standard unit, represents the administrative region unit; If and , then according to the minimum function statistical standard unit for the minimum administrative region boundary Perform re-segmentation.

[0043] Although the set of secondary patch units obtained after the spatial neighborhood merging and optimization process already meets the basic area requirements, it is still necessary to further verify its legality and consistency in terms of spatial logic and planning boundaries. Therefore, in this step, multi-dimensional spatial integrity constraint checks are performed on each secondary patch unit to eliminate units with potential problems such as cross-border and fragmentation, ensuring that the minimum functional statistical standard units constructed subsequently are manageable and policy-compatible.

[0044] Among them, the set unit includes three categories: plot units ; nature reserve units ; small watershed units . Then the integrity constraint verification process includes the following three processes: Integrity verification of plot units: The minimum functional statistical standard units obtained by division should ensure the integrity of the plot units. Let the set of plot units be , and the set of standard units be . If there exists a certain plot unit that intersects with two or more standard units , and , that is, the condition is satisfied: ; Among them, represents the plot unit, and represent the minimum functional statistical standard units that intersect with . If the above conditions are met, it is considered that the plot unit is divided, violating the integrity constraint. For each minimum functional statistical standard unit that intersects with the plot unit , delete the intersection part with the plot unit , and take the plot unit as part of the new minimum functional statistical standard unit, thereby restoring the spatial integrity of the plot unit .

[0045] Integrity verification of nature reserves: As the ecological security bottom line, nature reserves require maintaining their spatial closure and functional coherence during the division process. Let the set of nature reserves be . If a certain nature reserve unit is simultaneously cross-covered by two or more minimum functional statistical standard units, that is, there exists ; Among them, represents the nature reserve unit, and represents the minimum functional statistical standard unit that intersects with If the above conditions are met, it is considered that the nature reserve is fragmented, violating the requirements of ecological integrity. At this time, based on the boundary of the nature reserve as the control basis, for each minimum functional statistical standard unit that intersects with the nature reserve unit , delete the intersecting part with the nature reserve unit and take the nature reserve unit as part of the new minimum functional statistical standard unit.

[0046] Integrity verification of small watersheds: As the basic hydrological analysis unit, the small watershed should maintain its spatial integrity and closure. Let the set of small watersheds be , if there exists , which intersects with multiple units simultaneously, satisfying ; wherein, represents the small watershed unit, and represent the minimum functional statistical standard unit that intersects with . If the above conditions are met, the small watershed unit is cut, and the hydrological connectivity of the watershed division is not satisfied. It should be completely incorporated into the interior of a certain unit through boundary adjustment. For each minimum functional statistical standard unit that intersects with the small watershed unit , delete the intersecting part with the small watershed unit . Take the small watershed unit as part of the new minimum functional statistical standard unit.

[0047] Administrative boundary consistency verification: Based on the minimum administrative boundary , it is required that the patches shall not straddle multiple administrative units, and the formal expression is ; wherein, represents the administrative unit, represents the minimum functional statistical standard unit.

[0048] If there exists a patch unit that intersects with multiple administrative units , that is, satisfying: and ; Otherwise, it violates the administrative boundary consistency. The patch should be re-divided according to the administrative unit boundary to ensure that the divided unit is operable in administrative logic. Through this re-division operation, it is ensured that the divided patch unit is operable in administrative logic, avoiding management and planning conflicts caused by inconsistent boundaries.

[0049] Through the screening of the above four types of integrity conditions one by one, for the patches that meet all integrity constraint conditions at the same time, they are directly retained as the formal minimum functional statistical standard units; for the patches with integrity conflicts, boundary correction, neighborhood merging or splitting and reconstruction are performed according to the conflict type until all integrity standards are met. After this step of processing, the set of output minimum functional statistical standard units has spatial attributes with clear boundaries, independent closure, and no crossing of key control lines.

[0050] After completing the integrity constraint verification process, a set of minimum functional statistical standard units that meet various boundary control conditions has been obtained. In this step, based on this set, a hierarchical "bottom-up" spatial aggregation strategy is set, including administrative village / community level, township and street level, and county and district level, to form a national territorial space statistical unit system with unified logic and hierarchical adaptation.

[0051] Preferably, the first set area threshold corresponds to the set level and is the lower quartile of all minimum functional statistical standard units within the corresponding set level, that is: Judge each minimum functional statistical standard unit whether the area reaches the first set area threshold , and this first set area threshold is the lower quartile of the areas of all minimum functional statistical standard units within the set level: ; If , then this minimum functional statistical standard unit is directly retained as the national territorial space statistical standard unit at the set level; if , then the neighborhood merging mechanism is executed, as follows: The first neighborhood search and merge: centered on , perform an aggregation operation in its first-order neighborhood to construct an area function: Centered on the minimum functional statistical standard unit , enter the first neighborhood search and merge: ; If , the merge is completed; otherwise, enter the second neighborhood search and merge: ; If , the merge is completed; otherwise, enter the third neighborhood search and merge: ; If , the merging is completed; Among them, represents the -th order neighborhood cell set adjacent to , where = 1, 2, 3; represents the area of the neighborhood cell of ; is the sum of the area of and its -th order neighborhood cell , where = 1, 2, 3; is the first set area threshold.

[0052] If , continue with the merging operations of other subsequent units until all units meet the merging conditions or reach the maximum number of merging times, serving as the statistical standard units of the national territorial space at the set level.

[0053] In step S103, based on the obtained sets of statistical standard units of the national territorial space at each set level, including different scales such as administrative village / community level, township / sub-district level, and county / district level, etc. This step generates a standardized geographic information system layer based on these units and constructs an attribute table with a unified structure to achieve the integration of spatial expression and attribute collection. The layer is output as closed polygon vector data, meeting the requirements of topological correctness, and the file format can include SHP, GeoJSON, or GDB, etc., and each layer corresponds to a spatial level. In terms of attribute collection, fields are established for each unit, including unique number (unit_id), spatial level (level), boundary coordinates (geometry), area (area), boundary source type (source_type), merge record (merge_history), integrity flag (pass_integrity), and merge round (round_merge_level), etc. Some of these fields can be used to trace the generation process of the unit and determine whether it participates in subsequent processing. The finally output layer and attribute table constitute a complete data result, which can directly serve work such as the implementation of national territorial space planning, functional area identification, development boundary control, and resource allocation, and has the characteristics of unified boundaries, clear granularity, rich attributes, and sustainable update.

[0054] The method for determining the national territorial space statistical standard unit using data calculation according to the embodiments of the present application performs fusion processing on multi-source national territorial space data based on spatial data calculation rules, constructs a standardized and data-driven minimum functional statistical standard unit division model, and can generate minimum functional statistical standard units with a unified spatial granularity and adaptable to multi-scale planning objectives, significantly improving the spatial support accuracy and analysis application foundation for the implementation of national territorial space planning, and contributing to the realization of scientific, dynamic, and intelligent national territorial space governance.

[0055] The embodiments of the present application also provide an apparatus for determining the national territorial space statistical standard unit using data calculation.

[0056] Figure 2 The following is a module structure diagram of the apparatus for determining the national territorial space statistical standard unit using data calculation according to an embodiment of the present application, as Figure 2 shown. The apparatus for determining the national territorial space statistical standard unit using data calculation according to an embodiment of the present application includes: A unit initialization module 100, configured to construct a first-level patch unit according to multi-source spatial data and optimize the geometric structure of the first-level patch unit to form a second-level patch unit; A unit preprocessing module 101, configured to sequentially perform spatial neighborhood merging optimization processing and integrity constraint verification processing on the second-level patch unit to obtain the minimum functional statistical standard unit; A unit division module 102, configured to divide each minimum functional statistical standard unit according to the set hierarchy and perform neighborhood search and merging on the minimum functional statistical standard units within each set hierarchy that are smaller than the corresponding first set area threshold to determine the national territorial space statistical standard units at each set hierarchy; The neighborhood search and merging includes the following steps: Centered on the minimum functional statistical standard unit , enter the first neighborhood search and merging: ; If , the merging is completed; otherwise, enter the second neighborhood search and merging: ; If , the merging is completed; otherwise, enter the third neighborhood search and merging: ; If , the merging is completed; Wherein, represents the set of -order neighborhood units adjacent to , = 1, 2, 3; represents Neighborhood unit area; for With Order Neighborhood Unit The sum of the areas of =1,2,3; Set the area threshold for the first.

[0057] The device for determining the national land space statistical standard unit using data calculation in the embodiment of the present application integrates and processes multi-source national land space data based on spatial data calculation rules, and constructs a standardized, data-driven minimum functional statistical standard unit division model. It can generate minimum functional statistical standard units with unified spatial granularity and adapt to multi-scale planning goals, significantly improve the spatial support accuracy and analysis application basis of national land space planning implementation, and help to realize scientific, dynamic and intelligent national land space governance.

[0058] At least one embodiment of the present application also provides a data control device. Figure 3 A schematic block diagram of a data control device provided in at least one embodiment of the present application. Figure 3 As shown, the data control device 20 may include one or more memories 200 and one or more processors 201. The memory 200 is used to store computer executable instructions non-transiently; the processor 201 is used to run the computer executable instructions, and when the computer executable instructions are run by the processor 201, the processor 201 may execute one or more steps in the method for determining the standard unit of land space statistics using data calculation according to any embodiment of the present application.

[0059] The specific implementation and related explanation of each step of the method for determining the standard unit of national space statistics using data calculation can be found in the relevant content of the embodiment of the method for determining the standard unit of national space statistics using data calculation, which will not be repeated here. It should be noted that Figure 3 The components of the data control device 20 shown are merely exemplary and non-limiting. The data control device 20 may also have other components according to actual application requirements.

[0060] In one embodiment, the processor 201 and the memory 200 can communicate with each other directly or indirectly. For example, the processor 201 and the memory 200 can communicate through a network connection. The network can include a wireless network, a wired network, and / or any combination of a wireless network and a wired network. The types and functions of the network are not limited herein. For another example, the processor 201 and the memory 200 can also communicate through a bus connection. The bus can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. For example, the processor 201 and the memory 200 can be set at the remote data server side (cloud) or the distributed energy system side (local side), or can also be set at the client side (e.g., a mobile device such as a mobile phone). For example, the processor 201 can be a Central Processing Unit (CPU), a Tensor Processing Unit (TPU), or a Graphics Processing Unit (GPU), etc., which has data processing capabilities and / or instruction execution capabilities, and can control other components in the data control device 20 to perform desired functions. The Central Processing Unit (CPU) can be of the X86 or ARM architecture, etc.

[0061] In one embodiment, the memory 200 can include any combination of one or more computer program products. The computer program products can include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory can include, for example, Random Access Memory (RAM) and / or cache memory, etc. Non-volatile memory can include, for example, Read Only Memory (ROM), hard disk, Erasable Programmable Read Only Memory (EPROM), Portable Compact Disc Read Only Memory (CD-ROM), USB memory, flash memory, etc. One or more computer-executable instructions can be stored on the computer-readable storage media. The processor 201 can run the computer-executable instructions to implement various functions of the data control device 20. Various application programs and various data can also be stored in the memory 200, as well as various data used and / or generated by the application programs, etc.

[0062] It should be noted that the data control device 20 can achieve similar technical effects as the foregoing method for determining the national land space statistical standard unit using data calculus. The repeated parts will not be elaborated herein.

[0063] At least one embodiment of the present application also provides a non-transitory computer-readable storage medium. Figure 4 It is a schematic diagram of a non-transitory computer-readable storage medium provided by at least one embodiment of the present application. For example, as Figure 4As shown, one or more computer-executable instructions 301 can be non-transiently stored on a non-transitory computer-readable storage medium 30. For example, when the computer-executable instructions 301 are executed by a computer, the computer can be caused to execute one or more steps in the method for determining a national land space statistical standard unit using data calculus according to any embodiment of the present application.

[0064] In one embodiment, the non-transitory computer-readable storage medium 30 can be applied to the above data control device 20. For example, it can be the memory 200 in the data control device 20.

[0065] In one embodiment, the description of the non-transitory computer-readable storage medium 30 can refer to the description of the memory 200 in the embodiment of the data control device 20, and repeated parts will not be elaborated.

[0066] It should be noted that when the memory 200 stores different non-transitory computer-executable instructions, the data control device 20 correspondingly serves as a firmware upgrade device. When the computer-executable instructions are run by the processor 201, the processor 201 can be caused to execute one or more steps in the method for determining a national land space statistical standard unit using data calculus according to any embodiment of the present application.

[0067] For the present application, the following points also need to be explained: (1) The accompanying drawings of the embodiments of the present application only relate to the structures involved in the embodiments of the present application, and other structures can refer to the general design.

[0068] (2) For the sake of clarity, in the accompanying drawings used to describe the embodiments of the present invention, the thickness and dimensions of layers or structures are enlarged. It can be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" or "under" another element, the element can be "directly" on or under the other element, or there can be intermediate elements.

[0069] (3) Without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other to obtain new embodiments. The above are only the specific implementation manners of the present application, but the protection scope of the present application is not limited thereto. The protection scope of the present application should be subject to the protection scope of the claims.

[0070] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combinations of these technical features do not conflict, they should all be considered as the scope recorded in this specification.

[0071] The above embodiments only represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the scope of the patented application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method for determining the standard unit of national land space statistics using data calculation, characterized in that: Includes steps: Constructing a primary patch unit according to multi-source spatial data, and optimizing the geometric structure of the primary patch unit to form a secondary patch unit; Sequentially performing spatial neighborhood merging optimization processing and integrity constraint verification processing on the secondary patch units to obtain a minimum functional statistical standard unit; Divide each of the minimum functional statistical standard units according to the set level, and perform neighborhood search and merging on the minimum functional statistical standard units within each of the set levels that are smaller than the corresponding first set area threshold to determine the national land space statistical standard units of each set level; The neighborhood search merging comprises the following steps: Counting standard units with minimum functionality As the center, enter the first neighborhood search merge: ； like , the merge is complete; otherwise, the second neighborhood search merge is started: ； like , the merge is complete; otherwise, the third neighborhood search merge is started: ； like , the merger is completed; in, Representation and Adjacent The set of neighboring units of order, =1,2,3; express Neighborhood unit area; for With Order Neighborhood Unit The sum of the areas of =1,2,3; Set the area threshold for the first.

2. The method for determining the standard unit of national land space statistics using data calculation according to claim 1, characterized in that: The process of constructing a primary patch unit based on multi-source spatial data comprises the following steps: Acquire multi-source spatial data; wherein the multi-source spatial data includes nature reserve boundary data, watershed boundary data, village and community boundary data, road network data and land use status data; Performing unified coordinate projection transformation, vector boundary topology correction and format standardization processing on the multi-source spatial data to obtain multi-source processed data; A spatial overlay analysis is performed based on multi-source processed data, and an initial spatial patch is generated using a surface element segmentation operation to form the primary patch unit.

3. The method for determining the standard unit of national land space statistics by using data calculation according to claim 1, characterized in that: The process of optimizing the geometric structure of the primary plaque unit to form a secondary plaque unit comprises the steps of: The first-level patch units whose perimeter-to-area ratio is less than the set ratio are merged with the adjacent patches; The neighbor merging process is performed on the primary patch units whose area is smaller than the area control threshold.

4. The method for determining the standard unit of national land space statistics using data calculation according to claim 1, characterized in that: The process of performing spatial neighborhood merging optimization processing on the secondary patch unit comprises the steps of: A spatial neighborhood merging optimization process is performed on the secondary patch units whose area is smaller than the second set area threshold.

5. The method for determining the standard unit of national land space statistics using data calculation according to claim 1, characterized in that: The steps of the integrity constraint verification process are: If you set the unit satisfy , delete the setting unit Medium and Minimum Functional Statistical Standard Unit The intersection part is used as the new minimum functional statistical standard unit; among them, and Display and setting unit The minimum functional statistical standard unit of intersection; For the smallest administrative area boundary , which is expressed as: ;in, represents the minimum functional statistical standard unit, Indicates administrative unit; like and , then the standard unit is counted according to the minimum function Minimum administrative area boundaries Perform re-segmentation.

6. The method for determining the standard unit of national land space statistics using data calculation according to claim 1, characterized in that: The first set area threshold corresponds to a set level, and the first set area threshold is the lower quartile of all minimum functional statistical standard units in the corresponding set level.

7. The method for determining the standard unit of national land space statistics using data calculation according to any one of claims 1 to 6, characterized in that: Also includes the steps: Construct standard geographic information system layers and attribute tables based on the standard units of land and space statistics at each set level.

8. A device for determining standard units of national land space statistics using data calculation, characterized in that: include: A unit initialization module, used for constructing a primary patch unit according to multi-source spatial data, and optimizing the geometric structure of the primary patch unit to form a secondary patch unit; A unit preprocessing module is used to sequentially perform spatial neighborhood merging optimization processing and integrity constraint verification processing on the secondary patch unit to obtain a minimum functional statistical standard unit; A unit division module is used to divide each of the minimum functional statistical standard units according to the set level, and perform neighborhood search and merging on the minimum functional statistical standard units within each of the set levels that are smaller than the corresponding first set area threshold to determine the national land space statistical standard units of each set level; The neighborhood search merging comprises the following steps: Counting standard units with minimum functionality As the center, enter the first neighborhood search merge: ； like , the merge is complete; otherwise, the second neighborhood search merge is started: ； like , the merge is complete; otherwise, the third neighborhood search merge is started: ； like , the merger is completed; in, Representation and Adjacent The set of neighboring units of order, =1,2,3; express Neighborhood unit area; for With Order Neighborhood Unit The sum of the areas of =1,2,3; Set the area threshold for the first.

9. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, implement the method for determining the standard unit of land and space statistics using data calculation as described in any one of claims 1 to 7.

10. A data control device, characterized in that: include: one or more memories non-transitorily storing computer-executable instructions; One or more processors are configured to run computer executable instructions, wherein the computer executable instructions, when executed by one or more processors, implement the method for determining the standard unit of land and space statistics using data calculation as described in any one of claims 1 to 7.

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