Method and system for evaluating coupling coordination degree of regional three-generation space
By acquiring and analyzing the land data of urban areas and evaluating the coupling relationship between production, life and ecological space, the problem of inability to effectively reflect spatial functional interaction in the existing technology is solved, and the coordination of efficient evaluation and optimization of urban spatial structure is achieved.
Patent Information
- Application Number
- CN202411347318.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-26
- Publication Date
- 2025-01-07
AI Technical Summary
The existing technology cannot effectively reflect the interaction and coordinated development of production, life, ecological space functions in urban areas and their intensity of human activities, resulting in a lack of scientific rationality in land space planning.
By obtaining the land data of the target area, the geomorphic characteristics and use categories of the divided regions are calculated, the evaluation scores of each sub-region are determined, the coupling stage and coordination level of the three-life space are determined, and the coupling relationship between ecological, production and living spaces in the region is evaluated.
It has achieved efficient and precise display and evaluation of regional three-life space coordination, provided scientific and reasonable suggestions for optimization and adjustment of land space, and promoted rapid urban development.
Smart Images
Figure CN119273225A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of land space optimization and adjustment, and in particular to an evaluation method and system for the coupling coordination degree of regional three-life space. Background Art
[0002] With the development of society, the social and economic level has also made significant progress, but the accelerated process of industrialization and urbanization has intensified the competition and conflict between humans and nature, triggering a series of global problems including climate change, energy crisis and food security. In order to achieve sustainable and coordinated development, it is urgent to establish a scientific and reasonable method for optimizing and adjusting the land space so that it can be organically combined with ecological space, production space and living space. Among them, production space, living space and ecological space are referred to as the three living spaces.
[0003] In the process of urban development and construction, it is usually necessary to conduct a functional evaluation of the coupling coordination degree of the three living spaces in the area where the city is located to obtain the corresponding evaluation results. This allows suggestions to be provided for urban development through the evaluation results to promote rapid urban development. In related technologies, functional evaluation is usually only conducted based on the current needs of land use, national land space planning and other fields. The evaluation results cannot reflect the production, life, and ecological space functions in the region and their interaction and coordinated development with the intensity of human activities.
[0004] Therefore, the present invention proposes a method and system for evaluating the coupling coordination degree of regional three-life space to solve the problems existing in the prior art. Summary of the invention
[0005] The embodiment of the present invention provides a method for evaluating the coupling coordination degree of regional three-life spaces, which can evaluate the coupling coordination degree based on the land use data of the target area, and obtain the evaluation results quickly and accurately. Furthermore, the evaluation results can efficiently and accurately demonstrate the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the regional three-life spaces.
[0006] To achieve the above object, the embodiments of the present invention adopt the following technical solutions:
[0007] In a first aspect, a method for evaluating the coupling coordination degree of regional three-life space is provided, the method comprising: acquiring land data of a target area, the target area comprising multiple sub-areas, the land data comprising the geomorphic features of each sub-area in the multiple sub-areas; determining the primary category and secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category comprises production land, living land or ecological land; the secondary category included in the production land is strong production land, semi-production land or weak production land; the secondary category included in the living land is strong living land, semi-living land or weak living land; the secondary category included in the ecological land is strong ecological land, semi-ecological land or weak ecological land; determining the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; determining the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, the evaluation result comprising the coupling stage and coupling level of the three-life space, the coupling stage comprising low-level coupling, antagonism, running-in or high-level coupling, and the coupling level is used to characterize the coordination degree of the three-life space of the target area.
[0008] In a possible implementation of the first aspect, the geomorphic features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands; the first-level category and second-level category corresponding to each sub-area are determined according to the land data of the target area, including: the first category of the sub-area whose geomorphic feature is industrial and mining construction land is determined as production land and living land, and the second category is determined as strong production land and semi-living land; the first category of the sub-area whose geomorphic feature is paddy fields or dry land is determined as production land, and the second category is determined as semi-production land; the first category of the sub-area whose geomorphic feature is forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands is determined as production land and living land, and the second category is determined as weak production land and weak living land; the first category of the sub-area whose geomorphic feature is urban land or rural settlements is determined as living land and production land, and the second category is determined as strong living land and semi-production land.
[0009] In a possible implementation of the first aspect, each second category is respectively configured with a corresponding weight value; determining an evaluation score of each sub-area of the first category in the target area according to the primary category and the secondary category corresponding to each sub-area, including: determining an evaluation score corresponding to a sub-area of the first category in the target area that is production land, an evaluation score corresponding to a sub-area of the first category in the target area that is living land, and an evaluation score corresponding to a sub-area of the first category in the target area that is ecological land according to the weight values corresponding to the primary category and the secondary category corresponding to each sub-area;
[0010] The formula for determining the evaluation score is:
[0011]
[0012]
[0013] Among them, A1 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score of the sub-region whose first category is living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
[0014] In a possible implementation of the first aspect, an evaluation result of the target area is determined according to the evaluation score of each sub-area of the first category in the target area, including: determining the coupling coordination degree of the target area according to the evaluation score of each sub-area of the first category in the target area; determining the evaluation result of the target area according to the coupling coordination degree of the target area.
[0015] In a possible implementation manner of the first aspect, a formula for determining the coupling coordination degree of the target area is:
[0016]
[0017] T = αA1 + βA2 + γA3;
[0018] Among them, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.
[0019] In a possible implementation manner of the first aspect, each coupling stage corresponds to a different coupling coordination degree interval; the coupling levels include mild imbalance decline, imminent imbalance decline, barely coordinated development, moderately coordinated development, well coordinated development or high-quality coordinated development, and each coupling level corresponds to a different coupling coordination degree interval; determining an evaluation result of the target area according to the coupling coordination degree of the target area, including: determining the coupling stage and coupling level of the target area according to the coupling coordination degree interval corresponding to the coupling coordination degree of the target area; determining the evaluation result of the target area according to the coupling stage and coupling level of the target area.
[0020] The beneficial effects of the present invention are as follows: the method provided by the present invention obtains the land data of the target area, and the land data includes the geomorphic features of each sub-area in multiple sub-areas; determines the primary category and secondary category corresponding to each sub-area according to the land data of the target area; determines the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; determines the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three life spaces. The method provided by the present invention can determine the evaluation result through the land data of the target area, that is, determine the evaluation result through the geomorphic features and use information of different sub-areas in the target area, and then can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area according to the land data, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.
[0021] In a second aspect, an embodiment of the present invention provides an evaluation system for the coupling coordination degree of a regional three-life space, the system comprising: a data acquisition unit, for acquiring land data of a target area, the target area comprising multiple sub-areas, the land data comprising geomorphic features of each sub-area in the multiple sub-areas; a category determination unit, for determining a primary category and a secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category comprises production land, living land or ecological land; the secondary categories of production land are strong production land, semi-production land or weak production land; the secondary categories of living land are strong living land. land, semi-living land or weak living land; the secondary categories of ecological land include strong ecological land, semi-ecological land or weak ecological land; a score determination unit is used to determine the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; a result evaluation unit is used to determine the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three life spaces. The coupling stage includes low-level coupling, antagonism, running-in or high-level coupling. The coupling level is used to characterize the coordination degree of the three life spaces of the target area.
[0022] In a possible implementation of the second aspect, the geomorphic features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands; the category determination unit is specifically used to: determine the first category of the sub-area whose geomorphic features are industrial and mining construction land as production land and living land, and determine the second category as strong production land and semi-living land; determine the first category of the sub-area whose geomorphic features are paddy fields or dry land as production land, and determine the second category as semi-production land; determine the first category of the sub-area whose geomorphic features are forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands as production land and living land, and determine the second category as weak production land and weak living land; determine the first category of the sub-area whose geomorphic features are urban land or rural settlements as living land and production land, and determine the second category as strong living land and semi-production land.
[0023] In a possible implementation of the second aspect, each second category is respectively configured with a corresponding weight value; the score determination unit is specifically used to determine, according to the weight values corresponding to the first-level category and the second-level category corresponding to each sub-area, an evaluation score corresponding to the sub-area whose first category is production land in the target area, an evaluation score corresponding to the sub-area whose first category is living land in the target area, and an evaluation score corresponding to the sub-area whose first category is ecological land in the target area;
[0024] The formula for determining the evaluation score is:
[0025]
[0026] Among them, A1 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score of the sub-region whose first category is living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
[0027] In a possible implementation manner of the second aspect, the result evaluation unit is specifically used to: determine a coupling coordination degree of the target area according to an evaluation score of each sub-area of the first category in the target area; and determine an evaluation result of the target area according to the coupling coordination degree of the target area.
[0028] In a third aspect, an electronic device is provided, comprising a memory and one or more processors; the memory is coupled to the processor; wherein computer program code is stored in the memory, and the computer program code comprises computer instructions, and when the computer instructions are executed by the processor, the electronic device executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.
[0029] In a fourth aspect, a computer-readable storage medium is provided, comprising computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.
[0030] In a fifth aspect, a computer program product is provided. When the computer program product runs on a computer, the computer executes a method for evaluating the coupling coordination degree of a regional three-life space as in any implementation of the first aspect.
[0031] It can be understood that the beneficial effects that can be achieved by the evaluation system for the coupling coordination degree of a regional three-life space described in the second aspect, the electronic device described in the third aspect, the computer-readable storage medium described in the fourth aspect, and the computer program product described in the fifth aspect can be referred to the beneficial effects in the first aspect and any possible design method thereof, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 A schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention;
[0033] Figure 2 A flow chart of a method for evaluating the coupling coordination degree of a regional three-dimensional space shown in an embodiment of the present invention;
[0034] Figure 3 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;
[0035] Figure 4 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;
[0036] Figure 5 A flowchart of another method for evaluating the coupling coordination degree of a regional three-dimensional space according to an embodiment of the present invention;
[0037] Figure 6 This is a schematic diagram of the hardware structure of another evaluation system according to an embodiment of the present invention. DETAILED DESCRIPTION
[0038] The technical solution in the embodiment of the present invention will be described below in conjunction with the accompanying drawings in the embodiment of the present invention. Among them, in the description of the present invention, unless otherwise specified, " / " indicates that the objects associated before and after are in an "or" relationship, for example, A / B can represent A or B; "and / or" in the present invention is only a kind of association relationship describing the associated objects, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. And, in the description of the present invention, unless otherwise specified, "multiple" refers to two or more than two. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.
[0039] In addition, in order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with substantially the same functions and effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not necessarily limit the difference.
[0040] Meanwhile, in the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design scheme described as "exemplary" or "for example" in the embodiments of the present invention should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way for easy understanding.
[0041] With the development of society, the social and economic level has also made significant progress, but the accelerated process of industrialization and urbanization has intensified the competition and conflict between humans and nature, triggering a series of global problems including climate change, energy crisis and food security. In order to achieve sustainable and coordinated development, it is urgent to establish a scientific and reasonable method for optimizing and adjusting the land space so that it can be organically combined with ecological space, production space and living space. Among them, production space, living space and ecological space are referred to as the three living spaces.
[0042] In the process of urban development and construction, it is usually necessary to conduct a functional evaluation of the coupling coordination degree of the three living spaces in the area where the city is located to obtain the corresponding evaluation results. This allows suggestions to be provided for urban development through the evaluation results to promote rapid urban development. In related technologies, functional evaluation is usually only conducted based on the current needs of land use, national land space planning and other fields. The evaluation results cannot reflect the production, life, and ecological space functions in the region and their interaction and coordinated development with the intensity of human activities.
[0043] Therefore, the present invention proposes a method and system for evaluating the coupling coordination degree of regional three-life space to solve the problems existing in the prior art.
[0044] In view of this, an embodiment of the present invention provides an evaluation method for the coupling coordination degree of regional three-life space, the method comprising: acquiring land data of a target area, the target area comprising multiple sub-areas, the land data comprising the geomorphic features of each sub-area in the multiple sub-areas; determining the primary category and secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category comprises production land, living land or ecological land; the secondary category included in the production land is strong production land, semi-production land or weak production land; the secondary category included in the living land is strong living land, semi-living land or weak living land; the secondary category included in the ecological land is strong ecological land, semi-ecological land or weak ecological land; determining the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; determining the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, the evaluation result comprising the coupling stage and coupling level of the three-life space, the coupling stage comprising low-level coupling, antagonism, running-in or high-level coupling, and the coupling level is used to characterize the coordination degree of the three-life space of the target area.
[0045] The method provided by the embodiment of the present invention obtains the land data of the target area, and the land data includes the geomorphic features of each sub-area in multiple sub-areas; determines the primary category and secondary category corresponding to each sub-area according to the land data of the target area; determines the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; determines the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three life spaces. The method provided by the embodiment of the present invention can determine the evaluation result through the land data of the target area, that is, determine the evaluation result through the geomorphic features and use information of different sub-areas in the target area, and then can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the embodiment of the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area according to the land data, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.
[0046] In some embodiments, the evaluation method for the coupling coordination degree of the regional three-life space provided in the embodiment of the present invention can be performed by the evaluation system 100 for the coupling coordination degree of the regional three-life space (hereinafter referred to as the evaluation system 100). As an example, the evaluation system 100 can be any electronic device 200 with data processing capabilities, such as a general-purpose computer, a personal computer, a laptop, a switch or a tablet computer, etc. The specific implementation method of the evaluation system 100 is not limited here.
[0047] Figure 1 The hardware structure diagram of the electronic device provided by the embodiment of the present invention is shown. The electronic device 200 includes a processor 210, a memory 220 and a communication interface 230.
[0048] The processor 210 may include one or more processing cores. The processor 210 uses various interfaces and lines to connect various parts in the electronic device 200, and executes various functions and processes data of the electronic device 200 by running or executing instructions, programs, code sets or instruction sets stored in the memory 220, and calling data stored in the memory 220. Optionally, the processor 210 can be implemented in at least one hardware form of a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA).
[0049] The memory 220 may include a random access memory (RAM) or a read-only memory (ROM). Optionally, the memory 220 includes a non-transitory computer-readable storage medium. The memory 220 may be used to store instructions, programs, codes, code sets, or instruction sets. The memory 220 may include a program storage area. The program storage area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a blind spot determination function, solution determination, etc.), instructions for implementing the above-mentioned various method embodiments, etc.
[0050] The communication interface 230 is used to communicate with other devices, equipment or communication networks, such as data storage devices, image processing equipment or Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.
[0051] In physical implementation, the above-mentioned components (such as processor 210, memory 220 and communication interface 230) can be components in the same device (such as a laptop). Alternatively, at least two of the components can be set in the same device, that is, as different components in one device, similar to the deployment mode of devices or components in a distributed system.
[0052] It is to be understood that the structure illustrated in this embodiment does not constitute a specific limitation on the electronic device 200. In other embodiments of the present invention, the electronic device 200 may include more or fewer components than those illustrated, or combine certain components, or separate certain components, or arrange the components differently. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.
[0053] The following describes the evaluation method of the coupling coordination degree of the regional three-life space provided by the embodiment of the present invention in conjunction with the accompanying drawings.
[0054] Figure 2 A flowchart of a method for evaluating the coupling coordination degree of a regional three-dimensional space provided by an embodiment of the present invention. Optionally, the method can be performed by Figure 1 The method is executed by the electronic device 200 of the hardware structure shown, that is, by the evaluation system 100. The method may include the following steps:
[0055] S1. Acquire land data of a target area, where the target area includes multiple sub-areas, and the land data includes geomorphic features of each of the multiple sub-areas.
[0056] S2. Determine the primary category and secondary category corresponding to each sub-area based on the land data of the target area.
[0057] Among them, the first-level categories include production land, living land or ecological land; the second-level categories of production land include strong production land, semi-production land or weak production land; the second-level categories of living land include strong living land, semi-living land or weak living land; the second-level categories of ecological land include strong ecological land, semi-ecological land or weak ecological land;
[0058] It can also be understood that the main categories include production land, living land or ecological land, and the secondary categories include strong production land, semi-production land, weak production land, strong living land, semi-living land, weak living land, strong ecological land, semi-ecological land and ecological land; among them, the main category of production land includes 3 secondary categories, namely strong production land, semi-production land and weak production land, and the main category of living land includes 3 secondary categories, namely strong living land, semi-living land and weak living land; the main category of ecological land includes 3 secondary categories, namely strong ecological land, semi-ecological land and weak ecological land.
[0059] It should be understood that the above division into the first category and the second category is only for illustrative purposes. The sub-areas may be divided into more or fewer levels based on the land data of each sub-area in the target area, and different first categories and second categories may be set. The embodiments of the present invention do not impose any particular restrictions on this.
[0060] In one possible implementation, the landform features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands.
[0061] It should be understood that the above landform features are merely exemplary, and the embodiments of the present invention do not impose any particular limitation on the types of landforms included in the ground features.
[0062] For further information, see Figure 3 , S2 provided in the embodiment of the present invention specifically includes the following steps:
[0063] S21. The first category of sub-areas with landform characteristics of industrial and mining construction land is determined as production land and living land, and the second category is determined as intensive production land and semi-living land.
[0064] S22. Determine the first category of sub-areas whose landform features are paddy fields or dry land as production land, and determine the second category as semi-production land.
[0065] S23. The first category of sub-areas whose landform features are forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands shall be identified as production land and living land, and the second category shall be identified as weak production land and weak living land.
[0066] S24. The first category of sub-areas with landform characteristics of urban land or rural settlements is determined as living land and production land, and the second category is determined as intensive living land and semi-production land.
[0067] S3. Determine an evaluation score of each sub-region of the first category in the target region according to the first-level category and the second-level category corresponding to each sub-region.
[0068] In some embodiments, each second category is respectively configured with a corresponding weight value.
[0069] In an example, the corresponding weight values of strong production land, strong living land and strong ecological land are 5, the weight values of semi-production land, semi-living land and semi-ecological land are 3, and the weight values of weak production land, weak living land and ecological land are 1.
[0070] Optionally, the above S3 specifically includes the following steps: determining, based on the weight values corresponding to the first-level category and the second-level category corresponding to each sub-area, the evaluation score corresponding to the sub-area in the target area whose first category is production land, the evaluation score corresponding to the sub-area in the target area whose first category is living land, and the evaluation score corresponding to the sub-area in the target area whose first category is ecological land.
[0071] The formula for determining the evaluation score is:
[0072]
[0073] Among them, A1 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score of the sub-region whose first category is living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
[0074] S4. Determine an evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, where the evaluation result includes a coupling stage and a coupling level of the three-life space.
[0075] Among them, the coupling stages include low-level coupling, antagonism, running-in or high-level coupling, and the coupling level is used to characterize the degree of coordination of the three-life space in the target area.
[0076] In some embodiments, see Figure 4 The above S4 specifically includes the following steps:
[0077] S41 . Determine the coupling coordination degree of the target area according to the evaluation score of each sub-area of the first category in the target area.
[0078] In a possible implementation, the formula for determining the coupling coordination degree of the target area is:
[0079]
[0080] T = αA1 + βA2 + γA3;
[0081] Among them, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.
[0082] S42. Determine an evaluation result of the target area according to the coupling coordination degree of the target area.
[0083] In a possible implementation, each coupling stage corresponds to a different coupling coordination degree interval; the coupling levels include mild disorder decline, imminent disorder decline, barely coordinated development, moderately coordinated development, well coordinated development or high-quality coordinated development, and each coupling level corresponds to a different coupling coordination degree interval.
[0084] In an example, the coupling coordination degree interval corresponding to the low-level coupling in the coupling stage is greater than or equal to 0 and less than 0.3, the coupling coordination degree interval corresponding to the antagonism in the coupling stage is greater than or equal to 0.3 and less than 0.5, the coupling coordination degree interval corresponding to the running-in stage is greater than or equal to 0.5 and less than 0.8, and the coupling coordination degree interval corresponding to the high-level coupling in the coupling stage is greater than or equal to 0.8 and less than 1.
[0085] In another example, the coupling coordination degree interval corresponding to the coupling level of severe disharmony and decline is greater than or equal to 0 and less than 0.3; the coupling coordination degree interval corresponding to the coupling level of mild disharmony and decline is greater than or equal to 0.3 and less than 0.4; the coupling coordination degree interval corresponding to the coupling level of impending disharmony and decline is greater than or equal to 0.4 and less than 0.5; the coupling coordination degree interval corresponding to the coupling level of barely coordinated development is greater than or equal to 0.5 and less than 0.6; the coupling coordination degree interval corresponding to the coupling level of moderate coordinated development is greater than or equal to 0.6 and less than 0.7; the coupling coordination degree interval corresponding to the coupling level of good coordinated development is greater than or equal to 0.7 and less than 0.8; the coupling coordination degree interval corresponding to the coupling level of high-quality coordinated development is greater than or equal to 0.8 and less than 1.
[0086] S42 above, see Figure 5 , specifically including the following steps:
[0087] S421 . Determine a coupling stage and a coupling level of the target area according to a coupling coordination degree interval corresponding to the coupling coordination degree of the target area.
[0088] S422. Determine an evaluation result of the target area according to the coupling stage and coupling level of the target area.
[0089] As can be seen from the above S1-S4, the method provided by the embodiment of the present invention obtains the land data of the target area, and the land data includes the geomorphic features of each sub-area in multiple sub-areas; determines the primary category and secondary category corresponding to each sub-area according to the land data of the target area; determines the evaluation score of each sub-area of the first category in the target area according to the primary category and secondary category corresponding to each sub-area; determines the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three life spaces. The method provided by the embodiment of the present invention can determine the evaluation result through the land data of the target area, that is, determine the evaluation result through the geomorphic features and use information of different sub-areas in the target area, and then can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the study area, and evaluate the coordination of the development of the three life spaces in the region. The method provided by the embodiment of the present invention can efficiently and accurately display the coupling relationship between the ecological, production, and living spaces in the target area according to the land data, and can evaluate the coordination of the development of the three life spaces in the target area. The method provided by the present invention is of great significance in evaluating and optimizing the regional spatial structure.
[0090] The above mainly introduces the scheme of the embodiment of the present invention from the perspective of the method. It can be understood that in order to realize the above functions, the evaluation system 100 includes at least one of the hardware structure and software modules corresponding to each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiment disclosed in this article, the embodiment of the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiment of the present invention.
[0091] The embodiment of the present invention can divide the evaluation system 100 into functional units according to the above method example. For example, the evaluation system 100 can be divided into functional units corresponding to various functions, or two or more functions can be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present invention is schematic and is only a logical functional division. There may be other division methods in actual implementation.
[0092] For example, Figure 6The hardware structure diagram of an evaluation system 100 provided by an embodiment of the present invention is shown. The evaluation system 100 includes: a data acquisition unit 610, used to acquire land data of a target area, the target area includes multiple sub-areas, and the land data includes geomorphic features of each sub-area in the multiple sub-areas; a category determination unit 620, used to determine the primary category and secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category includes production land, living land or ecological land; the secondary category of production land includes strong production land, semi-production land or weak production land; the secondary category of living land includes strong living land, semi-living land or weak living land; The secondary categories of ecological land include strong ecological land, semi-ecological land or weak ecological land; the score determination unit 630 is used to determine the evaluation score of each first-category sub-area in the target area according to the primary category and secondary category corresponding to each sub-area; the result evaluation unit 640 is used to determine the evaluation result of the target area according to the evaluation score of each first-category sub-area in the target area, and the evaluation result includes the coupling stage and coupling level of the three-life space. The coupling stage includes low-level coupling, antagonism, running-in or high-level coupling. The coupling level is used to characterize the coordination degree of the three-life space in the target area.
[0093] Optionally, the geomorphic features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands; the category determination unit 620 is specifically used to: determine the first category of the sub-area whose geomorphic features are industrial and mining construction land as production land and living land, and determine the second category as strong production land and semi-living land; determine the first category of the sub-area whose geomorphic features are paddy fields or dry land as production land, and determine the second category as semi-production land; determine the first category of the sub-area whose geomorphic features are forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands as production land and living land, and determine the second category as weak production land and weak living land; determine the first category of the sub-area whose geomorphic features are urban land or rural settlements as living land and production land, and determine the second category as strong living land and semi-production land.
[0094] Optionally, each second category is respectively configured with a corresponding weight value; the score determination unit 630 is specifically used to determine the evaluation score corresponding to the sub-region whose first category is production land in the target area, the evaluation score corresponding to the sub-region whose first category is living land in the target area, and the evaluation score corresponding to the sub-region whose first category is ecological land in the target area according to the weight values corresponding to the first category and the second category corresponding to each sub-region;
[0095] The formula for determining the evaluation score is:
[0096]
[0097] Among them, A1 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score of the sub-region whose first category is living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
[0098] Optionally, the result evaluation unit 640 is specifically used to: determine the coupling coordination degree of the target area according to the evaluation score of each sub-area of the first category in the target area; and determine the evaluation result of the target area according to the coupling coordination degree of the target area.
[0099] Those skilled in the art will appreciate that all or part of the steps of the above embodiments can be implemented by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium. The above-mentioned storage medium can be a read-only memory, a random access memory, etc. The above-mentioned processing unit or processor can be a central processing unit, a general-purpose processor, a specific circuit structure (application specific integrated circuit, ASIC), a microprocessor (digital signal processor, DSP), a field programmable gate array (field programmable gate array, FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof.
[0100] The embodiment of the present invention also provides a computer program product including instructions, when the instructions are run on a computer, the computer executes any one of the methods in the above embodiments. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., an SSD), etc.
[0101] It should be noted that the above-mentioned devices for storing computer instructions or computer programs provided in the embodiments of the present invention, such as but not limited to the above-mentioned memory, computer-readable storage medium and communication chip, etc., all have non-transitory. Those skilled in the art should be aware that in one or more of the above-mentioned examples, the functions described in the embodiments of the present invention can be implemented with hardware, software, firmware or any combination thereof. When implemented using software, these functions can be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein the communication medium includes any medium that is convenient for transmitting a computer program from one place to another. The storage medium can be any available medium that a general or special-purpose computer can access.
[0102] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.
Claims
1. A method for evaluating the coupling coordination degree of regional three-life space, characterized in that: The method comprises: Acquire land data of a target area, wherein the target area includes a plurality of sub-areas, and the land data includes geomorphic features of each of the plurality of sub-areas; Determine the primary category and secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category includes production land, living land or ecological land; the secondary category included in the production land is strong production land, semi-production land or weak production land; the secondary category included in the living land is strong living land, semi-living land or weak living land; the secondary category included in the ecological land is strong ecological land, semi-ecological land or weak ecological land; Determine an evaluation score for each sub-region of the first category in the target region according to the first category and the second category corresponding to each sub-region; The evaluation result of the target area is determined according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three-life space. The coupling stage includes low-level coupling, antagonism, running-in or high-level coupling. The coupling level is used to characterize the degree of coordination of the three-life space of the target area.
2. The method according to claim 1, characterized in that: The geomorphic features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands; the primary category and secondary category corresponding to each sub-area determined according to the land data of the target area include: The first category of sub-areas with landform characteristics of industrial and mining construction land is determined as production land and living land, and the second category is determined as strong production land and semi-living land; The first category of sub-areas whose geomorphic features are paddy fields or dry land is identified as production land, and the second category is identified as semi-production land; The first category of sub-areas whose landform features are forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands is determined as production land and living land, and the second category is determined as weak production land and weak living land; The first category of sub-areas whose landform features are urban land or rural settlements is determined as living land and production land, and the second category is determined as intensive living land and semi-production land.
3. The method according to claim 2, characterized in that Each second category is respectively configured with a corresponding weight value; the step of determining the evaluation score of each sub-area of the first category in the target area according to the first category and the second category corresponding to each sub-area comprises: Determine, according to the weight values corresponding to the primary categories and secondary categories corresponding to each sub-region, the evaluation scores corresponding to the sub-regions in the target region whose first category is production land, the evaluation scores corresponding to the sub-regions in the target region whose first category is living land, and the evaluation scores corresponding to the sub-regions in the target region whose first category is ecological land; The formula for determining the evaluation score is: Among them, A2 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score corresponding to the sub-region of the first category of living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
4. The method according to claim 3, characterized in that The step of determining the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area comprises: Determining the coupling coordination degree of the target area according to the evaluation score of each sub-area of the first category in the target area; An evaluation result of the target area is determined according to the coupling coordination degree of the target area.
5. The method according to claim 4, characterized in that The formula for determining the coupling coordination degree of the target area is: T = αA1 + βA2 + γA3; Wherein, D is the coupling coordination degree of the target area; C is the coupling degree of the target area; T is the comprehensive coordination index of the target area; α, β and γ are preset coefficients.
6. The method according to claim 5, characterized in that Each of the coupling stages corresponds to a different coupling coordination degree interval; the coupling levels include mild disorder decline, imminent disorder decline, barely coordinated development, moderately coordinated development, well coordinated development or high-quality coordinated development, and each of the coupling levels corresponds to a different coupling coordination degree interval; The step of determining the evaluation result of the target area according to the coupling coordination degree of the target area includes: Determining a coupling stage and a coupling level of the target area according to a coupling coordination degree interval corresponding to the coupling coordination degree of the target area; An evaluation result of the target area is determined according to the coupling stage and the coupling level of the target area.
7. An evaluation system for the coupling coordination degree of regional three-life space, characterized in that: The system comprises: A data acquisition unit, configured to acquire land data of a target area, wherein the target area includes a plurality of sub-areas, and the land data includes geomorphic features of each of the plurality of sub-areas; A category determination unit is used to determine the primary category and secondary category corresponding to each sub-area according to the land data of the target area, wherein the primary category includes production land, living land or ecological land; the secondary category included in the production land is strong production land, semi-production land or weak production land; the secondary category included in the living land is strong living land, semi-living land or weak living land; the secondary category included in the ecological land is strong ecological land, semi-ecological land or weak ecological land; A score determination unit, used to determine an evaluation score of each sub-region of the first category in the target region according to the primary category and the secondary category corresponding to each sub-region; A result evaluation unit is used to determine the evaluation result of the target area according to the evaluation score of each sub-area of the first category in the target area, and the evaluation result includes the coupling stage and coupling level of the three-life space. The coupling stage includes low-level coupling, antagonism, running-in or high-level coupling. The coupling level is used to characterize the coordination degree of the three-life space of the target area.
8. The system according to claim 7, characterized in that The geomorphic features include industrial and mining construction land, paddy fields, dry land, urban land, rural settlements, forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands; the category determination unit is specifically used for: The first category of sub-areas with landform characteristics of industrial and mining construction land is determined as production land and living land, and the second category is determined as strong production land and semi-living land; The first category of sub-areas whose geomorphic features are paddy fields or dry land is identified as production land, and the second category is identified as semi-production land; The first category of sub-areas whose landform features are forests, grasslands, rivers, lakes, reservoirs, ponds, shoals or wetlands is determined as production land and living land, and the second category is determined as weak production land and weak living land; The first category of sub-areas whose landform features are urban land or rural settlements is determined as living land and production land, and the second category is determined as intensive living land and semi-production land.
9. The system according to claim 8, characterized in that Each second category is respectively configured with a corresponding weight value; the score determination unit is specifically used to determine the evaluation score corresponding to the sub-area whose first category is production land in the target area, the evaluation score corresponding to the sub-area whose first category is living land in the target area, and the evaluation score corresponding to the sub-area whose first category is ecological land in the target area according to the weight values corresponding to the first category and the second category corresponding to each sub-area; The formula for determining the evaluation score is: Among them, A1 is the evaluation score corresponding to the sub-region whose first category is production land, and A3 is the evaluation score corresponding to the sub-region whose first category is ecological land; X 11 is the area of intensively productive land in the target area; is the weight value of strong production land; X 12 is the area of semi-productive land in the target area; is the weight value of semi-production land; X 13 is the area of weak production land in the target area; is the weight value of weak production land; A2 is the evaluation score corresponding to the sub-region of the first category of living land, X 21 is the area of intensive living land in the target area; is the weight value of strong living land; X 22 is the area of semi-living land in the target area; is the weight value of semi-living land; X 23 is the area of weak living land in the target area; is the weight value of weak living land; A3 is the evaluation score corresponding to the sub-area of the first category of ecological land; X 31 is the area of strong ecological land in the target area; is the weight value of strong ecological land; X 32 is the area of semi-ecological land in the target area; is the weight value of semi-ecological land; X 33 is the area of ecologically weak land in the target area; is the weight value of weak ecological land.
10. The system according to claim 9, characterized in that The result evaluation unit is specifically used for: Determining the coupling coordination degree of the target area according to the evaluation score of each sub-area of the first category in the target area; An evaluation result of the target area is determined according to the coupling coordination degree of the target area.