Method for identifying three-dimensional space based on qualitative and quantitative functional evaluation

Abstract

The application discloses a kind of based on qualitative and quantitative function evaluation's triculture space identification method, triculture space is divided into production, life, ecology 3 single spaces and production-life, production-ecology, life-ecology, production-life-ecology 4 compound spaces.Through calculating qualitative function evaluation value, calculating quantitative function evaluation value, calculating qualitative-quantitative function evaluation value, calculating first and last position index, judging triculture space type four steps are carried out to triculture space identification division, and the space type of correction maladjustment is utilized Coupling coordination degree.The application provides theoretical basis for land space structure and space layout optimization research, guides land space structure and space layout optimization, improves the rationality and scientificity of resource element configuration in land space planning, promotes land space pattern optimization development, with practical significance and good application prospect.

Description

Technical Field

[0001] This invention relates to the field of land and space planning technology, and in particular to a method for identifying living, breathing, and ecological spaces based on qualitative and quantitative functional evaluation. Background Technology

[0002] The three spaces—production space, living space, and ecological space—are based on land use functions and human activities. As the carrier of human survival, development, and socio-economic activities, national land space plays a vital role in production, living, and ecological functions. Scientifically identifying these three functions and rationally dividing these three spaces is fundamental to optimizing the layout of national land space and the rational development and utilization of resources, and has significant theoretical and practical implications.

[0003] Even with the same land use type, the production, living, and ecological functions will inevitably differ due to the influence of the dominant functions of the administrative region. Furthermore, different land use types within the same administrative region should also perform different production, living, and ecological functions. Existing research has not simultaneously considered the influence of land use type and the dominant functions of the administrative region, nor has it adopted both qualitative and quantitative methods to identify these three functions. Moreover, it lacks a method for quantitatively evaluating the dominant functions of these three functions to determine their spatial composition. Therefore, this paper designs a method for identifying the three-life space based on qualitative and quantitative functional evaluation. This method provides a theoretical basis for research on the optimization of national land spatial structure and layout, guides the optimization of national land spatial structure and layout, enhances the rationality and scientific nature of resource allocation in national land spatial planning, and promotes the optimized development of the national land spatial pattern. It has practical significance and promising application prospects. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention, based on multi-functional evaluation of land use classification, comprehensively determines the influence of dominant functions by considering factors such as the natural, economic, and social aspects of administrative regions. It constructs a qualitative-quantitative evaluation model of the three-life functions (production, living, and ecology), introduces a primacy index to quantify the dominant functions and divide the three-life spaces. The spatial type of a unit grid is determined according to the strength and dominance of its three-life functions, classifying the three-life spaces into three single spaces (production, living, and ecology) and four composite spaces (production-living, production-ecology, living-ecology, and production-living-ecology). In production space, production functions are dominant; similarly, living and ecological spaces are dominant. In production-living space, both production and living functions are dominant; similarly, in production-ecology and living-ecology spaces, production, living, and ecological functions are balanced within the production-living-ecology space unit grid. This invention reveals the distribution characteristics of production, living, and ecological spaces in urban agglomerations, aiming to improve the scientific nature of the identification and division of the three-life spaces, and proposes guidance and optimization suggestions for land spatial functional zoning.

[0005] To achieve the above objectives, the three-dimensional space identification method based on qualitative and quantitative functional evaluation described in this invention consists of the following parts:

[0006] A three-dimensional space identification method based on qualitative and quantitative functional assessment consists of four steps:

[0007] Step-1: Calculate the qualitative function evaluation score, using the following formula:

[0008]

[0009]

[0010]

[0011] In the formula: W pi W li W ei These are the qualitative functional evaluation values ​​of production, living, and ecology within the i-th unit grid, respectively.

[0012] j represents the land use type, which is determined according to the secondary category of the classification system of the Second National Land Survey, and there are a total of 37 types.

[0013] n is the total number of land use types for each cell grid;

[0014] S j This represents the area of ​​a certain land use type within each cell grid.

[0015] V pj V lj V ej These represent the production, living, and ecological function values ​​per unit area for the j-th land use type, respectively. The function values ​​are assigned 5 points, 3 points, 1 point, and 0 points respectively according to "strong", "half", "weak", and "non".

[0016] Step 2: Select indicators to construct an evaluation index system for the three functions of life in the study area. After dimensionless processing of the indicators, use the entropy method to determine the indicator weights and calculate the quantitative functional evaluation values. The formula is as follows:

[0017] Dimensionless processing of indicators:

[0018] In the formula: y ab x is a dimensionless index value. ab x is the index value. max x is the maximum index value. min The minimum index value;

[0019] Calculate the weight of the b-th index in the a-th cell:

[0020] In the formula: Y ab Let b be the weight of the b-th indicator in the a-th cell grid, and m be the total number of cell grids in the study area;

[0021] Indicator information entropy calculation:

[0022] In the formula: e b The information entropy is the index, where m is the total number of cell grids in the study area; lnm is the natural logarithm of the value of m; and lnY is the information entropy. ab Yes: Y ab The natural logarithm;

[0023] Information utility value calculation: d b =1-e b ;

[0024] In the formula: d b Information utility value;

[0025] Indicator weight calculation: H b The weight of the b-th evaluation indicator;

[0026] X a =∑H b ·Z b ;

[0027] In the formula: X a The quantitative functional evaluation value of the three aspects of life for the a-th evaluation unit;

[0028] H b The weight of the b-th evaluation indicator;

[0029] Z b For item b, the value is the dimensionless value.

[0030] Step 3: Calculate the qualitative-quantitative functional evaluation value, using the following formula:

[0031] F pi =αW pi +βX pi ;

[0032] F li =αW li +βX li ;

[0033] F ei =αW ei +βX ei ;

[0034] F pi F li F ei These represent the evaluation values ​​of production, living, and ecological functions in the qualitative-quantitative functional evaluation of the i-th unit grid;

[0035] W piW li W ei These represent the evaluation values ​​of production, living, and ecological functions in the qualitative evaluation of the i-th unit grid;

[0036] X pi X li X ei These represent the evaluation values ​​of production, living, and ecological functions in the quantitative evaluation of the i-th unit grid;

[0037] α and β are the weights for evaluating the function value, where α + β = 1;

[0038] Step-4: Calculate the first and last indexes to determine the type of the Three-Life Space. The formula is as follows:

[0039] S i1 =F i1 / F i2 ;

[0040] S i2 =F i1 / F i3 ;

[0041] In the formula S i1 and S i2 These are the primacy index and the first-to-last index of the three functions of the i-th unit grid, respectively;

[0042] F i1 The functional evaluation value that ranks first in the qualitative and quantitative functional evaluation values ​​of the three elements within the unit grid;

[0043] F i2 The functional evaluation value ranked second in the qualitative and quantitative functional evaluation scores within the unit grid;

[0044] F i3 The last functional evaluation value in the qualitative and quantitative functional evaluation scores within the unit grid is the functional evaluation value that ranks the lowest.

[0045] When S i1 If the value is ≥2, then the unit grid is the production, living, or ecological space of the dominant function;

[0046] S i1 <2 and S i2 If the value is greater than 2, then the unit grid is a composite space dominated by two functions: production-living, production-ecology, and living-ecology.

[0047] If S i1 <2 and S i2 If the value is less than 2, then the unit grid is a composite space of production, living and ecology.

[0048] Preferably, the three-dimensional space identification method based on qualitative and quantitative functional evaluation further includes a fifth step:

[0049] Step 5: Correct the misalignment type using coupling coordination degree, as shown in the following formula:

[0050]

[0051] T = χ1F1 + χ2F2 + ... + χ n F n ;

[0052]

[0053] Where C represents the functional coupling degree of the unit grid;

[0054] F n The three-dimensional qualitative and quantitative functional evaluation values ​​for the unit grid;

[0055] T represents the coordination index of the three functions of the unit grid, χ n As for weighting, the three functions are equally important and should have the same weight, i.e., χ². n = 1 / n, where D is the coupling coordination degree;

[0056] When the composite space type of the unit grid is production-living space, production-ecological space and living-ecological space, n=2;

[0057] When the composite space type is a production-living-ecological composite space, n=3;

[0058] When the mesh coupling coordination degree D of the composite functional unit is less than 0.5, i.e., it is in a "misaligned" state, the spatial type needs to be corrected. The specific correction method is as follows:

[0059] Two types of functionally integrated production-living space, production-ecological space, and living-ecological space: ① Production-living space F pi >F li At that time, it was corrected to production space, F pi <F li At that time, it was revised to living space; ② Production-ecological space F pi >F ei At that time, it was corrected to production space, F pi <F ei At that time, it was revised to ecological space; ③ Living-ecological space F li >F ei When Fli < Fei, it is corrected to living space; when Fli < Fei, it is corrected to ecological space.

[0060] Three types of integrated production-living-ecological spaces: ①F pi >F ei And Fli >F ei At that time, it was revised to a production-living space; ②F pi >F li =F ei At that time, it was revised to production space; ③F pi >F li And F ei >F li At that time, it was revised to production-ecological space; ④F ei >F pi =F li At that time, it was revised to ecological space; ⑤F li >F pi And F ei >F pi At that time, it was revised to a living-ecological space; ⑥F li >F pi =F ei At that time, it was revised to refer to living space;

[0061] F pi F li F ei These are the production, living, and ecological function evaluation values ​​in the qualitative-quantitative functional evaluation of the i-th unit grid, respectively; preferably, the size of each unit grid is 1km*1km.

[0062] Preferably, in Step-3, α+β=1, and fixed values ​​α=0.6 and β=0.4 are taken.

[0063] Compared with existing technologies, the present invention has the following beneficial effects: Traditionally, the three-life space is divided into ecological space, production space, and living space. However, the present invention determines the spatial type of a unit grid according to the strength and dominance of the three-life functions of the unit grid, and divides the three-life space into three single spaces of production, living, and ecology, and four composite spaces of production-living, production-ecology, living-ecology, and production-living-ecology. It constructs a qualitative-quantitative three-life functional space identification model, improves the scientific nature of the identification and division of the three-life space, and proposes guidance and optimization suggestions for the functional zoning of national land space. Attached image description:

[0064] Figure 1 Here is a flowchart of the three-dimensional space recognition method described in this invention;

[0065] Figure 2 Here is a schematic diagram of the qualitative functional identification results;

[0066] Figure 3 For example: Schematic diagram of quantitative functional recognition results

[0067] Figure 4 Here is a schematic diagram of the qualitative-quantitative functional identification results.

[0068] Figure 5 Here is a schematic diagram of the three-life space delineation results of the primacy model.

[0069] Figure 6 Here is a schematic diagram of the coupling coordination degree analysis results.

[0070] Figure 7 Here is a schematic diagram of the conforming spatial cell mesh, corrected by the coupling compatibility model.

[0071] Figure 8 For: Revised diagram of the Three Lives Space

[0072] Figure 9 Here is a diagram illustrating the primacy triangle of the three functions of life.

[0073] Figure 10 Here is a schematic diagram of the three-dimensional space classification; Detailed Implementation

[0074] The present invention will now be described in further detail with reference to specific embodiments.

[0075] Step 1: Calculate the qualitative functional evaluation value:

[0076] Land use type is the most direct method to determine the three functions of production, living, and ecology. However, the same land type often contains multiple functional attributes simultaneously, requiring a determination of the strength of these functions for different land types. Based on data availability and following the classification system of the Second National Land Survey, this invention assigns scores to different land use types according to the strength of their production, living, and ecological functions. Taking ecological land as an example: strong ecological, semi-ecological, weak ecological, and non-ecological functions are assigned 5, 3, 1, and 0 points respectively. Production and living functions are assigned scores according to the same rules. For example, paddy fields in cultivated land have strong production, weak living, and semi-ecological functions, and are assigned 5, 1, and 3 points respectively for production, living, and ecological functions. See Table 1 for scores of other land types. The qualitative functional evaluation value of each land use type within a 1km×1km grid is calculated using the formula:

[0077]

[0078] In the formula: W pi W li W ei These are the qualitative functional evaluation values ​​of production, living, and ecology within the i-th unit grid, respectively.

[0079] j represents the land use type, which is determined according to the secondary category of the classification system of the Second National Land Survey, and there are a total of 37 types.

[0080] n is the total number of land use types for each cell grid;

[0081] Sj This represents the area of ​​a certain land use type within each cell grid.

[0082] V pj V lj V ej These represent the production, living, and ecological function values ​​per unit area for the j-th land use type, respectively. The function values ​​are assigned 5 points, 3 points, 1 point, and 0 points respectively according to "strong", "half", "weak", and "non".

[0083] Table 1. Scoring of the Three Functions of Different Land Use Types

[0084]

[0085] Calculate the qualitative functional evaluation value W for production, living, and ecology of each unit grid. pi W li W ei The calculation results were divided into five levels—high, relatively high, medium, relatively low, and low—using the natural breakpoint method. Different colors were used to draw spatial distribution maps of production, living, and ecological functions, respectively. Figure 2 As shown.

[0086] Step 2: Calculate the quantitative functional evaluation value:

[0087] Using county-level administrative regions of city cluster A as the identification unit, and comprehensively considering the multifunctional attributes, spatial differences, and systematic nature of land, combined with the development and current status of city cluster A and taking into account data availability, 21 indicators were selected to construct an evaluation index system for the three functions of production, living, and ecological functions in the study area (see Table 2 for details). After dimensionless processing, the entropy method was used to determine the weight of the indicators, and the values ​​of the three functions were calculated. The natural discontinuity method was used to divide them into five levels: strong, relatively strong, medium, relatively weak, and weak. Spatial distribution maps of production, living, and ecological functions were drawn respectively.

[0088] Dimensionless processing of indicators:

[0089] In the formula: y ab x is a dimensionless index value. ab x is the index value. max x is the maximum index value. min The minimum index value;

[0090] There are a total of 21 indicators. Calculate the weight of the b-th indicator in the a-th unit:

[0091] In the formula: Y ab Let b be the weight of the b-th indicator in cell a, and m be the total number of cell grids in the study area;

[0092] Indicator information entropy calculation:

[0093] In the formula: e b The information entropy is the index, where m is the total number of cell grids in the study area; lnm is the natural logarithm of the value of m; and lnY is the information entropy. ab Yes: Y ab The natural logarithm;

[0094] Information utility value calculation: d b =1-e b ;

[0095] In the formula: d b Information utility value;

[0096] Indicator weight calculation: H b The weight of the b-th evaluation indicator;

[0097] Calculation of the Three Lives Function Value: X a =∑H b ·Z b ;

[0098] In the formula: F a The quantitative functional evaluation value of the three aspects of life for the a-th evaluation unit grid;

[0099] H b The weight of the b-th evaluation indicator;

[0100] Z b This is the standardized value of indicator b.

[0101] Table 2A: Multifunctional Evaluation System for Urban Agglomeration Territorial Spatial Structure

[0102]

[0103]

[0104] Step 3: Calculate the qualitative-quantitative functional evaluation values:

[0105] When considering the multi-functionality of land use classification, the dominant functions are determined by a comprehensive consideration of factors such as the natural, economic, and social aspects of the administrative region. A unified qualitative and quantitative evaluation value is established, with five levels—high, relatively high, medium, relatively low, and low—assigned values ​​of 5, 4, 3, 2, and 1 respectively. Based on different scores and weights, a qualitative-quantitative spatial identification model for the three functions (life, ecology, and environment) is constructed, as shown in the following formula:

[0106] F pi =αW pi +βX pi F li =αW li +βX li F ei =αW ei +βXei

[0107] F pi F li F ei These represent the evaluation values ​​of production, living, and ecological functions in the qualitative-quantitative functional evaluation of the i-th unit grid;

[0108] W pi W li W ei These represent the evaluation values ​​of production, living, and ecological functions in the qualitative evaluation of the i-th unit grid;

[0109] X pi X li X ei These represent the evaluation values ​​of production, living, and ecological functions in the quantitative evaluation of the i-th unit grid;

[0110] α and β are the evaluation function value weights, where α+β=1, and fixed values ​​are taken for α=0.6 and β=0.4.

[0111] Step 4: Calculate the first and last indexes to determine the type of the three-life space:

[0112] The primacy index is a commonly used indicator for analyzing the degree of difference in urban development scale within a region. It can intuitively reflect the concentration and dominant position of the leading city in the allocation of certain resources. This invention uses the primacy index and adds a first-to-last index to determine the dominant functions of the three aspects of life (production, living, and ecology) in a unit grid, thereby determining the spatial type of the three aspects of life. The calculation formula is as follows:

[0113] S i1 =F i1 / F i2 S i2 =F i1 / F i3 ;

[0114] In the formula S i1 and S i2 These are the primacy index and the first-to-last index of the three functions of the i-th unit grid, respectively;

[0115] F i1 The functional evaluation value that ranks first in the qualitative and quantitative functional evaluation values ​​of the three elements within the unit grid;

[0116] F i2 The second-ranked functional evaluation value in the qualitative-quantitative functional evaluation score ranking within the unit grid.

[0117] F i3 The last functional evaluation value in the ranking of qualitative and quantitative functional evaluation values ​​within the unit grid is the functional evaluation value.

[0118] A triangular diagram of the primacy of the three-life functions is drawn to determine the type of the three-life space.

[0119] When S i1 If the value is ≥2, then the unit grid is the production, living, or ecological space of the dominant function;

[0120] S i1 <2 and S i2 If the value is greater than 2, then the unit grid is a composite space dominated by two functions: production-living, production-ecology, and living-ecology.

[0121] If S i1 <2 and S i2 If the value is less than 2, then the unit grid is a composite space integrating production, living, and ecology. See details. Figure 9 .

[0122] Step 5: Correcting the spatial misalignment type using coupling coordination degree:

[0123] Based on the quantitative identification of the three-dimensional space, the "imbalance" and "coordination" states of the three-dimensional functions in the composite space should also be considered. This invention analyzes the coordination level of the three functions within the unit grid of the composite space through a unit grid three-dimensional function coupling coordination degree model, and corrects the composite three-dimensional space type. The coupling coordination degree model involves the calculation of three index values: coupling degree C, coordination index T, and coupling coordination degree D. The calculation formulas are as follows:

[0124]

[0125] T=χ1F1+χ2F2+···+χ n F n

[0126]

[0127] Where C represents the functional coupling degree of the unit grid;

[0128] F n The three-dimensional qualitative and quantitative functional evaluation values ​​for the unit grid;

[0129] T represents the coordination index of the three functions of the unit grid, χ n As for weighting, the three functions are equally important and should have the same weight, i.e., χ². n =1 / n, where D is the coupling coordination degree.

[0130] When the composite space type of the unit grid is production-living space, production-ecological space and living-ecological space, n=2;

[0131] When the composite space type is a production-living-ecological composite space, n=3.

[0132]

[0133]

[0134] An analysis of the coupling coordination degree of the three functions was conducted. Based on the classification of coupling coordination degree levels, when the coupling coordination degree D of the composite functional unit grid is less than 0.5, indicating a state of "disharmony," the spatial type needs to be corrected. The specific correction method is as follows:

[0135] (1) Two types of functional composite production-living space, production-ecological space, and living-ecological space: ① Production-living space F pi >F li At that time, it was corrected to production space, F pi <F li At that time, it was revised to living space; ② Production-ecological space F pi >F ei At that time, it was corrected to production space, F pi <F ei At that time, it was revised to ecological space; ③ Living-ecological space F li >F ei When Fli < Fei, it is corrected to living space; when Fli < Fei, it is corrected to ecological space.

[0136] (2) Three-functional integrated production-living-ecological space: ①F pi >F ei And F li >F ei At that time, it was revised to a production-living space; ②F pi >F li =F ei At that time, it was revised to production space; ③F pi >F li And F ei >F li At that time, it was revised to production-ecological space; ④F ei >F pi =F li At that time, it was revised to ecological space; ⑤F li >F pi And F ei >F pi At that time, it was revised to a living-ecological space; ⑥F li >F pi =F ei At that time, it was revised to refer to living space;

[0137] F pi F li F ei These represent the evaluation values ​​of production, living, and ecological functions in the qualitative-quantitative functional evaluation of the i-th unit grid;

[0138] The above description is only a part of the specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the protection scope of the present invention.

Claims

1. The method for identifying the three-dimensional space based on qualitative and quantitative functional evaluation includes four steps: Step-1: Calculate the qualitative functional evaluation value, the formula is as follows: ； ； ； In the formula: W pi 、W li 、W ei respectively, the production, life, and ecological qualitative function evaluation values in the i-th unit grid. j is the land use type, which is determined according to the second-level class of the national second land survey classification system, and there are 37 types; n is the total number of land use types of each unit grid; S j represents the area of a certain land use type in each cell grid; V pj 、V lj 、V ej respectively represent the production, life and ecological function value of the jth land use type per unit area, and the function value is assigned 5 points, 3 points, 1 point and 0 point according to "strong", "half", "weak" and "non" respectively; Step-2: Select indexes to construct the three-dimensional functional evaluation index system of the study area, after dimensionless processing of the indexes, use the entropy method to determine the index weight, calculate the quantitative functional evaluation value, the formula is as follows: Index dimensionless processing: ; wherein: y ab is a dimensionless index value, x ab is an index value, x max is a maximum index value, x min is a minimum index value; Computing the bth index weight in the ath cell grid: ; In the formula: Y ab is the weight of the bth index in the ath unit grid, and m is the total number of unit grids in the study area. Index information entropy calculation: ; In the formula: e b is the index information entropy, m is the total number of unit grids in the study area; ln m is ：m is the natural logarithm of the value; ln Yab is: Yab is the natural logarithm of the value; Information utility value calculation: d b = 1 - e b ; In the formula: db is the information utility value; Index weight calculation: ; H b weighting the evaluation criteria for the bth item; X a =∑H b ·Z b ; In the formulae: Xa is the tristimulus quantification function evaluation value of the a-th evaluation unit; H b weighting the evaluation criteria for the bth item; Z b The value after the dimensionless treatment of the first b index; Step-3: Calculate the qualitative-quantitative functional evaluation value, the formula is as follows: F pi = aW pi + βX pi ; F li = aW li + βX li ; F ei = aW ei + βX ei ; F pi 、F li 、F ei Xi, X2, X3, X4, X5, X6, X7, X8, X9, X10, X11, X12, X13, X14, X15, X16, X17, X18, X19, X20, X21, X22, X23, X24, X25, X26, X27, X28, X29, W pi 、W li 、W ei The production, life and ecological function evaluation values in the i-th unit grid, respectively. X pi 、X li 、X ei respectively, the production, life and ecological function evaluation value of the i-th unit grid α and β are the evaluation function value weights, wherein α+β=1; Step-4: Calculate the first and last position index to judge the three-dimensional space type, the formula is as follows: S i1 = F i1 / F i2 ; S i2 = F i1 / F i3 ; wherein S i1 and S i2 are the first and last order indices of the i-th unit grid triad functionality, respectively. F i1 The function evaluation value of the single unit grid is ranked first in the qualitative and quantitative function evaluation value of the three generations. F i2 the second function evaluation value is the function evaluation value ranked second in the evaluation of the qualitative and quantitative functions of the three births within the unit grid; F i3 The function evaluation value of the last end of the unit grid is ranked and sequenced. When S i1 ≥ 2, the unit grid is a single space dominated by any one of production, life or ecology. S i1 <2 and S i2 >2, the unit grid is a production-life, production-ecology, life-ecology composite space dominated by two functions; If S i1 <2 and S i2 <2, the unit grid is a production-life-ecological complex space.

2. The method of identifying the three-dimensional space based on the qualitative and quantitative functional evaluation according to claim 1, characterized in that: It also includes a fifth step: Step-5: Use the coupling coordination degree to correct the space type in a state of disorder, the formula is as follows: ； ； ； wherein C is the unit grid tri-function coupling degree; F n Qualitative-quantitative function evaluation value of three-dimensional cell grid T For the unit grid three generation function coordination index, χ n For the weight, three generation functions are equally important and should have the same weight, that is χ n = 1 / n , D For the coupling coordination degree; The unit grid composite space type is production-life space, production-ecological space and life-ecological space n = 2; The composite space type is production-life-ecological composite space n = 3; When the coupling coordination degree D of the composite functional unit grid is less than 0.5, that is, in a state of disorder, the space type needs to be corrected, and the specific correction method is:

2. Functional composite production-living space, production-ecological space, living-ecological space: ① Production-living space F pi > F li is modified to production space, F pi < F li is modified to living space; ② Production-ecological space F pi > F ei is modified to production space, F pi < F ei is modified to ecological space; ③ Living-ecological space F li > F ei is modified to living space, Fli < Fei is modified to ecological space; 3 kinds of functional composite production-life-ecological space: ①F pi > F ei and F li > F ei , modified as production-life space; ②F pi > F li =F ei , modified as production space; ③F pi > F li and F ei > F li , modified as production-ecological space; ④F ei > F pi =F li , modified as ecological space; ⑤F li > F pi and F ei > F pi , modified as life-ecological space; ⑥F li > F pi =F ei , modified as life space; F pi 、F li 、F ei The production, life and ecological function evaluation values in the i-th unit grid qualitative-quantitative function evaluation, respectively.

3. The tridimensional space recognition method based on qualitative and quantitative function evaluation according to claim 1 or 2, characterized in that: The size of each unit grid is 1km*1km.

4. The tridimensional space recognition method based on qualitative and quantitative function evaluation according to claim 1 or 2, characterized in that: In Step-3, α+β=1, take the fixed value α=0.6, β=0.4.

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