Rural land utilization evaluation system and method

Abstract

The invention discloses a rural land utilization evaluation system and method, and relates to the technical field of land management, and the system comprises a spatial analysis module which obtains a spatial distance value, a land utilization type value and a regional distribution value based on a land unit division result, carries out the superposition calculation of a spatial incidence relation matrix, and extracts the conflict intensity. According to the method, through comprehensive calculation of the spatial distance, the land utilization type and the regional distribution, the land conflict intensity and the dynamic characteristics thereof are quantitatively analyzed, the problem that the land resource conflict distribution is not clearly identified is solved, in the dynamic prediction process, the land dynamic characteristics are quantified through space and ecological connectivity difference operation, and the prediction accuracy is improved. According to the method, land utilization change requirements, economic value and ecological connectivity normalization processing and weighted calculation are effectively coped with, dynamic balance of economic benefits and ecological protection is achieved, limitation of single-dimension evaluation is avoided, and reasonable allocation of land resources is strengthened by adjusting the proportion of economic and ecological parameters through optimization verification and reducing evaluation deviation.

Description

Technical Field

[0001] The present invention relates to the technical field of land management, and in particular to a rural land use assessment system and method. Background Art

[0002] The field of land management technology refers to a comprehensive management system that plans, utilizes, protects and supervises land resources through scientific means and technical tools. This field involves the development and utilization of land resources, sustainable development, ecological protection and land ownership management, and covers the extensive application of modern information technology, remote sensing mapping, geographic information system (GIS), big data analysis and other technologies. The core goal of land management is to achieve the rational allocation and optimal utilization of land resources, promote regional economic development, social stability and ecological environmental protection, and provide a scientific basis for government decision-making and social development.

[0003] Among them, the rural land use assessment system refers to a tool or method based on modern information technology, which is used to analyze and evaluate the use status, suitability and sustainability of rural land resources. Its purpose is to provide a scientific basis for rural land planning, development and protection, and promote the improvement of agricultural production efficiency, ecological environment protection and sustainable use of land resources.

[0004] Existing technologies lack comprehensive quantification of the intensity and dynamic characteristics of land conflicts, making it difficult to accurately identify and predict the changing trends of land resources, resulting in difficulty in timely optimization and adjustment of resource conflicts. Assessments are mostly based on a single dimension, ignoring the balance between economic and ecological values, which can easily lead to imbalances between land development and ecological protection. Since the dynamic adjustment of weights is not adopted, the assessment results are not adaptable enough in balancing multiple demands, which can easily affect the accuracy and scientific nature of planning decisions. There is a lack of verification-based parameter optimization links, and the problem of deviation accumulation is more significant, which may cause the land use planning effect to deviate from actual needs and restrict the realization of sustainable land use goals. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a rural land use assessment system and method.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a rural land use assessment system, comprising: Spatial analysis module: Based on the land unit division results, obtain the spatial distance value, land use type value and regional distribution value, superimpose and calculate the spatial correlation relationship matrix, extract the conflict intensity, and calculate the neighborhood conflict characteristic value in combination with the regional distribution value; Dynamic impact prediction module: based on the neighborhood conflict characteristic value, the conflict intensity value and the connectivity characteristic value are calculated to obtain the spatial connectivity value, the ecological connectivity value is superimposed and calculated, and the difference operation is performed in combination with the regional distribution value and the connectivity value to generate the neighborhood dynamic characteristic quantitative value; Adaptive weight adjustment module: based on the neighborhood dynamic characteristic quantification value, extract the economic value characteristic value and the ecological connectivity characteristic value, perform normalization and weighted operation, extract the comprehensive distribution value, calculate the weight ratio in combination with the conflict intensity value, and generate an adaptive weight adjustment value; Multi-level evaluation module: based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are extracted, the utilization value characteristic value is obtained by weighted superposition according to the adjustment value, the benefit value is calculated by combining the regional area value and the spatial connectivity value, and the land use evaluation value is generated; Verification and optimization module: Based on the land use assessment value, the assessment value is compared with the conflict intensity value, the deviation value is calculated, the ratio of regional economic distribution and ecological distribution parameters is adjusted, the utilization value distribution is calculated in combination with the calibration parameter distribution value, and the land assessment optimization index is generated.

[0007] The neighborhood conflict characteristic values ​​include conflict intensity and regional distribution value, the neighborhood dynamic characteristic quantization values ​​include ecological connectivity value and difference operation value, the adaptive weight adjustment value includes weight ratio and comprehensive distribution value, the land use evaluation value includes benefit value and utilization value characteristic value, and the land evaluation optimization index includes deviation value and utilization value distribution.

[0008] As a further solution of the present invention, the step of obtaining the neighborhood conflict characteristic value is specifically as follows: Based on the land unit division results, the spatial distance value, land use type value and regional distribution value are called to construct a weighted superposition function of the three, and the spatial correlation relationship matrix is ​​calculated and generated; The conflict intensity in the spatial association relationship matrix is ​​extracted, and the neighborhood conflict characteristic parameters are constructed in combination with the regional distribution value. The neighborhood conflict characteristic parameter set is generated by determining the conflict intensity by weighted operation on the regional distribution dimension.

[0009] Based on the neighborhood conflict characteristic parameter set, the threshold judgment logic of the conflict intensity is set, and the threshold of the conflict intensity is dynamically adjusted using the formula: ; Calculate and obtain the neighborhood conflict characteristic value; in, represents the neighborhood conflict eigenvalue, represents the conflict intensity of the ith unit, represents the regional distribution value of the i-th unit, is the weighted average of the conflict intensity, Represents the number of area units.

[0010] As a further solution of the present invention, the step of obtaining the quantized value of the neighborhood dynamic feature is specifically: Based on the neighborhood conflict characteristic value, calling the conflict intensity value and the connectivity characteristic value, calculating the weighted connectivity parameter between the spatial units, and generating a spatial connectivity value; In combination with the spatial connectivity value, the ecological connectivity parameter is called, and according to the degree of overlap between units, the regional distribution value is used as a weight, and the spatial connectivity value is superimposed and calculated to generate the ecological connectivity value.

[0011] Based on the ecological connectivity value and the spatial connectivity value, combined with the regional distribution value, the difference weight coefficient is calculated, and the conflict characteristic value distribution is adjusted according to the regional difference, using the formula: ; Calculate and obtain the quantitative value of neighborhood dynamic characteristics; in, represents the quantitative value of the neighborhood dynamic characteristics, represents the spatial connectivity value of the ith unit, represents the ecological connectivity value of the ith unit, represents the regional distribution value of the i-th unit, represents the conflict eigenvalue of the ith unit, Represents the number of area units.

[0012] As a further solution of the present invention, the step of obtaining the adaptive weight adjustment value is specifically: Based on the neighborhood dynamic characteristic quantified value, the economic value characteristic value and the ecological connectivity characteristic value are called, normalized, and a normalized characteristic value is generated; The normalized economic value characteristic value and ecological connectivity characteristic value are weighted and combined, and the weighting factor is set to reflect the criticality of the differentiated characteristics. The weighted characteristic values ​​of multiple data points are calculated to generate a comprehensive distribution value.

[0013] Combining the comprehensive distribution value with the conflict intensity value in the region, the weighted average method is used to refer to the influence of each data point, and the formula is used: ; Calculate and obtain an adaptive weight adjustment value; in, represents the adaptive weight adjustment value, represents the comprehensive distribution value of the i-th data point, represents the conflict intensity value of the ith data point, Represents the total number of data points.

[0014] As a further solution of the present invention, the steps for obtaining the land use assessment value are specifically as follows: Based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are called, the data normalization matching scale is performed, the weighted utilization value characteristic value is calculated, and the weighted utilization value characteristic value is generated; Based on the weighted utility value characteristic value, the regional area value and the spatial connectivity value are applied to calculate the overall benefit value of multiple regions, and the weighted benefit value is generated with reference to the spatial position and economic activity density of each region.

[0015] Using the weighted benefit value and combining the quantitative analysis results of regional area and spatial connectivity, the formula is adopted: ; Calculate the comprehensive evaluation index of land use, reflect the advantages and disadvantages of land use in differentiated areas, and obtain the land use evaluation value; in, represents the land use assessment value, represents the area value of the ith region, represents the weighted utility value feature value of the ith region, represents the spatial connectivity value of the ith region, Represents the total number of regions.

[0016] As a further solution of the present invention, the steps for obtaining the land evaluation optimization index are specifically as follows: Based on the land use assessment value, the conflict intensity value is called, the two are compared region by region, and the regional deviation value is extracted through differential deviation analysis; By using the regional deviation value, the regional economic distribution parameters and ecological distribution parameters are called, the proportional relationship between the two is adjusted, the dynamic weight distribution is set, and the proportional correction of the distribution parameters is performed to generate the calibrated distribution parameters.

[0017] Combining the calibrated distribution parameters with the regional deviation value, the utilization value characteristic value is adjusted using the normalized distribution function, using the formula: ; Calculate and generate utilization value distribution; in, Represents the utilization value distribution, represents the calibration distribution parameter of the ith region, represents the economic and ecological adjustment ratio of the ith region, represents the deviation value of the ith region, Total number of regions represented; In combination with the utilization value distribution, the regional area and weight deviation analysis adjustment function are used to calculate and generate land evaluation optimization indicators.

[0018] The technical solution of the present invention also provides: a rural land use assessment method, which is executed based on the rural land use assessment system and includes the following steps: S1: Based on the land unit division results, obtain the land use type value, spatial distance value and regional distribution value, calculate the spatial association relationship matrix, extract the conflict intensity value and combine it with the regional distribution value to perform neighborhood feature calculation to generate neighborhood conflict feature values; S2: Based on the neighborhood conflict characteristic value, extract the conflict intensity value and the spatial connectivity parameter, calculate the spatial connectivity value and the ecological connectivity value, perform a difference operation on the two connectivity values ​​and the regional distribution value, and generate a neighborhood dynamic characteristic quantization value; S3: Based on the neighborhood dynamic characteristic quantization value, extract regional economic parameters and ecological connectivity parameters, calculate economic value characteristic values ​​and ecological connectivity characteristic values, perform normalization processing and weighted operations, extract comprehensive distribution parameter values ​​and calculate weight ratios in combination with conflict intensity values, and generate adaptive weight adjustment values; S4: Based on the adaptive weight adjustment value, the economic value characteristic value and the ecological connectivity characteristic value are called, and weighted distribution operation is performed according to the weight adjustment value. The land use benefit distribution value is calculated by combining the regional area value and the spatial connectivity value. The benefit distribution value is compared with the spatial conflict intensity value to generate a land use evaluation optimization index.

[0019] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, the intensity of land conflicts and their dynamic characteristics are quantitatively analyzed through comprehensive calculation of spatial distance, land use type and regional distribution, thus solving the problem of unclear identification of land resource conflict distribution. In the dynamic prediction process, the dynamic characteristics of land are quantified through spatial and ecological connectivity difference calculation, effectively responding to the demand for land use changes. Economic value and ecological connectivity are normalized and weighted to achieve a dynamic balance between economic benefits and ecological protection, avoiding the limitations of single-dimensional evaluation. By optimizing and verifying, the proportion of economic and ecological parameters is adjusted, the evaluation bias is reduced, and the rational allocation of land resources is strengthened. The overall plan takes multi-level and multi-dimensional evaluation as the core to improve the scientificity and sustainability of rural land use planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a system flow chart of the present invention; Figure 2 A flowchart of the steps for obtaining neighborhood conflict characteristic values ​​according to the present invention; Figure 3A flowchart of the steps for obtaining the quantized value of the neighborhood dynamic feature of the present invention; Figure 4 A flowchart of the steps for obtaining the adaptive weight adjustment value of the present invention; Figure 5 A flow chart of the steps for obtaining the land use assessment value of the present invention; Figure 6 This is a flow chart of the steps for obtaining the land assessment optimization index of the present invention. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0022] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0023] Embodiment 1

[0024] See also Figure 1 The present invention provides a technical solution: a rural land use assessment system, comprising: The spatial analysis module obtains the spatial distance value, land use type value and regional distribution value based on the land unit division results, superimposes and calculates the spatial correlation relationship matrix, extracts the conflict intensity, and calculates the neighborhood conflict characteristic value in combination with the regional distribution value; The dynamic impact prediction module calculates the conflict intensity value and the connectivity characteristic value based on the neighborhood conflict characteristic value to obtain the spatial connectivity value, superimposes the ecological connectivity value, combines the regional distribution value and the connectivity value for difference calculation, and generates the neighborhood dynamic characteristic quantitative value; The adaptive weight adjustment module extracts the economic value characteristic value and the ecological connectivity characteristic value based on the neighborhood dynamic characteristic quantification value, performs normalization and weighted operation, extracts the comprehensive distribution value, calculates the weight ratio in combination with the conflict intensity value, and generates the adaptive weight adjustment value; The multi-level assessment module extracts the economic value distribution value and ecological connectivity distribution value based on the adaptive weight adjustment value, obtains the utilization value characteristic value by weighted superposition according to the adjustment value, calculates the benefit value by combining the regional area value and the spatial connectivity value, and generates the land use assessment value; The verification and optimization module compares the land use assessment value with the conflict intensity value based on the land use assessment value, calculates the deviation value, adjusts the ratio of regional economic distribution and ecological distribution parameters, calculates the utilization value distribution based on the calibration parameter distribution value, and generates land assessment optimization indicators.

[0025] The neighborhood conflict characteristic values ​​include conflict intensity and regional distribution value. The neighborhood dynamic characteristic quantization values ​​include ecological connectivity value and difference operation value. The adaptive weight adjustment values ​​include weight ratio and comprehensive distribution value. The land use assessment values ​​include benefit value and utilization value characteristic value. The land assessment optimization indicators include deviation value and utilization value distribution.

[0026] See also Figure 2 , the specific steps for obtaining the neighborhood conflict feature value are: Based on the results of land unit division, the spatial distance value, land use type value and regional distribution value are called to construct a weighted superposition function of the three, and the spatial correlation relationship matrix is ​​calculated and generated.

[0027] This process involves detailed data collection and weighted calculation. The spatial distance value is obtained by measuring the geographic coordinates of each land unit through the geographic information system. The land use type value is obtained through remote sensing image analysis and land use records. The regional distribution value is calculated based on land registration data and population density information. Each value has been accurately measured and verified to ensure the accuracy and representativeness of the data. Through the weighted superposition of these values, a spatial correlation matrix reflecting the relationship between land units is obtained. This matrix can be used to further analyze the conflict intensity and potential development problems of land use.

[0028] The conflict intensity in the spatial correlation matrix is ​​extracted and combined with the regional distribution value to construct the neighborhood conflict characteristic parameters. The neighborhood conflict characteristic parameter set is generated by weighted operation of the conflict intensity in the regional distribution dimension.

[0029] Statistical analysis methods are used to determine the conflict intensity between land units. Regional distribution values ​​are used as weighted factors in the calculation to ensure the regionality and practical application value of the results. The statistical analysis used in this process includes variance analysis and weighted average. Each step is strictly based on the actual data to avoid any deviation in the data processing process, ensuring the scientificity and practicality of the neighborhood conflict characteristic parameter set. These parameter sets will provide a scientific basis for the next step of setting the conflict intensity threshold.

[0030] Based on the neighborhood conflict characteristic parameter set, the threshold judgment logic of the conflict intensity is set, and the threshold of the conflict intensity is dynamically adjusted using the formula: ; Calculate and obtain the neighborhood conflict characteristic value; in, represents the neighborhood conflict eigenvalue, represents the conflict intensity of the ith unit, represents the regional distribution value of the i-th unit, is the weighted average of the conflict intensity, Represents the number of area units.

[0031] formula: ; The benefit of the formula is that it provides a comprehensive way to reflect neighborhood conflict characteristics by combining the weighted average of conflict intensity and regional distribution, as well as considering the standard deviation of conflict intensity, which makes the analysis results more comprehensive and adaptable.

[0032] Detailed explanation of the formula and the process of formula calculation and derivation: First, calculate the weighted average conflict intensity ,in As example values, we calculate: .

[0033] Then calculate the standard deviation part, assuming : .

[0034] so ; .

[0035] The results show that this method can obtain a specific value to describe the conflict characteristics of the neighborhood, which can be used to evaluate and predict the possibility of land use conflicts in practical applications.

[0036] See also Figure 3 , the specific steps for obtaining the quantized value of the neighborhood dynamic feature are: Based on the neighborhood conflict eigenvalue, the conflict intensity value and the connectivity eigenvalue are called to calculate the weighted connectivity parameters between spatial units and generate the spatial connectivity value; The weighted overlay function based on the neighborhood conflict eigenvalue is the key calculation process. In this process, the conflict intensity value and the connectivity eigenvalue are combined, the conflict intensity value of each land unit is multiplied by its connectivity eigenvalue, and then the results of all land units are accumulated to obtain the preliminary spatial connectivity value. This step ensures that the spatial connectivity of each unit is taken into account, thereby providing a comprehensive and quantitative indicator to characterize the connectivity between spatial units. This result serves as the basis for further calculation of ecological connectivity.

[0037] Combined with the spatial connectivity value, the ecological connectivity parameter is called, and according to the overlap degree between units, the regional distribution value is used as the weight, and the spatial connectivity value is superimposed and calculated to generate the ecological connectivity value; The spatial connectivity value is combined with the ecological connectivity parameter, and the regional distribution weight of each unit is taken into account. The ecological connectivity value is calculated by the weighted average method. The ecological data and regional distribution data monitored on the spot are used in this process to ensure the practical applicability and accuracy of the calculation results. This result reflects the comprehensive effect of connectivity and regional distribution within the ecosystem.

[0038] Based on the ecological connectivity value and spatial connectivity value, combined with the regional distribution value, the difference weight coefficient is calculated, and the distribution of conflict characteristic values ​​is adjusted according to regional differences. The formula is: ; Calculate and obtain the quantitative value of neighborhood dynamic characteristics; in, represents the quantitative value of the neighborhood dynamic characteristics, represents the spatial connectivity value of the ith unit, represents the ecological connectivity value of the ith unit, represents the regional distribution value of the i-th unit, represents the conflict eigenvalue of the ith unit, Represents the number of area units.

[0039] formula: ; The formula is beneficial because it introduces the spatial connectivity value and ecological connectivity value and subtract the regional distribution value from it Conflicting eigenvalues The square of the product of can more accurately quantify the dynamic characteristics between neighbors. This formula is particularly suitable for dynamic and complex geospatial data analysis.

[0040] Detailed explanation of the formula and the process of formula calculation and derivation: Set the parameters as follows: , , , , .

[0041] The calculation process is: ; ; ; ; ; ; ; The results show that the neighborhood dynamic feature quantization value It is 2.381, representing the dynamic relationship between neighbors after considering the spatial and ecological connectivity as well as the influence of regional distribution. This high value indicates that within the analyzed region, the conflict characteristics and ecological characteristics between regions show obvious differences. This result can be used for further regional development strategy formulation and resource allocation.

[0042] See also Figure 4 , the specific steps for obtaining the adaptive weight adjustment value are: Based on the quantitative values ​​of neighborhood dynamic characteristics, the economic value characteristic values ​​and ecological connectivity characteristic values ​​are called and normalized to generate normalized characteristic values.

[0043] First, the economic value characteristic value and ecological connectivity characteristic value of each land unit are obtained through actual monitoring or model calculation. These values ​​come from specific land use data and ecological databases, and then normalized to ensure the uniformity and comparability of the data. The normalization process usually adopts the maximum-minimum standardization method, which is simple and effective. By subtracting the minimum value and dividing it by the difference between the maximum and minimum values, all characteristic values ​​are converted to the range between 0 and 1, thereby eliminating the influence of the original data unit and order of magnitude and improving the comparability between different data.

[0044] The normalized economic value characteristic value and ecological connectivity characteristic value are weighted and merged, and the weighting factor is set to reflect the criticality of the differentiated characteristics. The weighted characteristic values ​​of multiple data points are calculated to generate a comprehensive distribution value.

[0045] The normalized economic value eigenvalues ​​and ecological connectivity eigenvalues ​​are further weighted. The weighted calculation is based on the importance of each feature in the current analysis target. This importance is determined through historical data analysis or expert experience. The specific weighting method uses a linear combination, that is, multiplying each eigenvalue by its corresponding weight coefficient, and then summing all the products. This method is very common in multi-feature data processing and effectively combines the information of each eigenvalue to obtain a comprehensive feature representation, which reflects the comprehensive distribution after considering all relevant features.

[0046] Combining the comprehensive distribution value with the conflict intensity value in the region, the weighted average method is used to refer to the influence of each data point, and the formula is used: ; Calculate and obtain an adaptive weight adjustment value; in, represents the adaptive weight adjustment value, represents the comprehensive distribution value of the i-th data point, represents the conflict intensity value of the ith data point, Represents the total number of data points.

[0047] formula: ; The benefit of the formula is that through weighted averaging, the influence of each data point on the overall result can be adjusted according to its conflict intensity, making the result closer to the dynamic changes of the actual situation.

[0048] Detailed explanation of the formula and the process of formula calculation: Consider a specific example. Suppose there are three regions, and their comprehensive distribution values ​​are are 0.5, 0.3 and 0.2 respectively, corresponding to the conflict intensity values They are 10, 5 and 15 respectively, insert the formula to calculate: ; The result shows that the integrated adaptive weight adjustment value is 0.3167, which represents the average influence-adjusted weight value of each region, which is used in further data analysis or decision-making process.

[0049] See also Figure 5 , the specific steps for obtaining land use assessment values ​​are as follows: Based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are called, the data is normalized and matched, and the weighted utilization value characteristic value is calculated to generate the weighted utilization value characteristic value; Based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are processed by data normalization to ensure the consistency of each characteristic scale. Then, a weighted algorithm is used to allocate proportional weights according to the adaptive weight adjustment value, and the normalized weighted sum of the characteristic values ​​is calculated. This step makes full use of numerical normalization and weighted merging technology. The normalization process uses the maximum and minimum method. After subtracting the minimum value of the characteristic from each value, the value is divided by the range of the characteristic to ensure that the data is between 0 and 1. In the weighted merging process, the weights are determined by experts in related fields based on the influence of economic and ecological factors. This method can more accurately reflect the comprehensive impact of the economic and ecological values ​​of different regions and generate weighted utility value characteristic values.

[0050] Based on the weighted utility value characteristic value, the regional area value and spatial connectivity value are applied to calculate the overall benefit value of multiple regions, and the weighted benefit value is generated by referring to the spatial location and economic activity density of each region; The regional area value and spatial connectivity value are used for weighted calculation to evaluate the economic activities and spatial location of each region. Taking into account the actual situation of the regional area and spatial connectivity, the area value and connectivity index of each region are obtained through detailed data surveys and field investigations. The connectivity index is calculated through the road network data in the GIS system. The area value and spatial connectivity value of each region are standardized and weighted averaged according to the preset weight ratio. This method can actually reflect the differences and comprehensive economic benefits between regions and generate weighted benefit values.

[0051] Using the weighted benefit value, combined with the quantitative analysis results of regional area and spatial connectivity, the formula is adopted: ; Calculate the comprehensive evaluation index of land use, reflect the advantages and disadvantages of land use in differentiated areas, and obtain the land use evaluation value; in, represents the land use assessment value, represents the area value of the ith region, represents the weighted utility value feature value of the ith region, represents the spatial connectivity value of the ith region, Represents the total number of regions.

[0052] formula: ; The benefit of the formula is that by combining the weighted characteristic values ​​of regional area and economic and ecological values, and taking into account the impact of spatial connectivity, it can comprehensively evaluate the benefits of land use, thereby providing more scientific data to support land planning and management decisions.

[0053] Detailed explanation of the formula and the process of formula calculation and derivation: Assume the total number of regions is 5 and the area They are [2, 3, 2.5, 4, 3.5] hectares respectively, and the weighted utility value characteristic value They are [200, 300, 250, 400, 350] respectively, and the spatial connectivity values They are [0.8, 0.9, 0.85, 0.9, 0.88] respectively. The product of the area and the utilization value of each region is calculated as [400, 900, 625, 1600, 1225]. The sum is 3250. The total number of regions n is 5. The average value of the product of area and value is 650. The average value of spatial connectivity is 0.866. According to the formula: ; The results show that by comprehensively considering the economic value, area and spatial connectivity of the region, the overall land use assessment of the region is 1212.9, which can be used as a reference for policy making and land use optimization.

[0054] See also Figure 6 , the specific steps for obtaining land assessment optimization indicators are as follows: Based on the land use assessment value, the conflict intensity value is called, and the two are compared region by region. Through differential deviation analysis, the regional deviation value is extracted; Based on the land use assessment values, a detailed investigation of conflict intensity values ​​was conducted on each region. Through field measurements and comparative analysis of regional statistical data, the actual conflict intensity of each region was identified. These measured data were accurately compared with the land use assessment values, and the deviation values ​​were calculated one by one. This deviation value reflects the difference between regional planning and actual operations, and provides a basis for the subsequent adjustment of regional economic and ecological distribution parameters. Through this process, areas that need to be optimized are identified, providing data support for adjustment decisions.

[0055] Using the regional deviation value, the regional economic distribution parameters and ecological distribution parameters are called, the proportional relationship between the two is adjusted, the dynamic weight distribution is set, and the proportional correction of the distribution parameters is performed to generate the calibrated distribution parameters; Using regional deviation values, we deeply analyzed the interaction between regional economic distribution parameters and ecological distribution parameters, adjusted the proportional relationship between the two, and implemented a dynamic weight allocation scheme to adapt to the development needs of different regions. We used advanced parameter adjustment methods to recalculate and correct distribution parameters to ensure a more reasonable resource allocation in each region. This refinement process ensured the scientific nature and practical applicability of parameter adjustment, providing a solid data foundation for regional development strategies.

[0056] Combining the calibrated distribution parameters with the regional deviation value, the normalized distribution function is used to adjust the utilization value characteristic value using the formula: ; Calculate and generate utilization value distribution; in, Represents the utilization value distribution, represents the calibration distribution parameter of the ith region, represents the economic and ecological adjustment ratio of the ith region, represents the deviation value of the ith region, Total number of regions represented;

[0057] formula: ; The benefit of the formula is that it can effectively adjust the accuracy of land use assessment by combining regional adjustment parameters and quantitative analysis of deviation values, thereby enhancing the adaptability and sensitivity of the model.

[0058] Detailed explanation of the formula and the process of formula calculation and derivation: Assume that there are three regions of data as follows: (regional calibration distribution parameters) are 1.2, 1.5, and 1.3 respectively; (Economic and ecological adjustment ratios) are 0.8, 0.9, and 0.85 respectively; (The deviation values ​​of the regions) are 0.3, 0.2, and 0.4 respectively.

[0059] First calculate the numerator: ; Compute the sum of the squares of the denominators: ; The final calculation formula is: ; The result shows that by adjusting the weights and parameters, the utilization value distribution is 6.528, which represents the optimized evaluation value of the overall land use efficiency and has guiding significance for the formulation of subsequent land use strategies.

[0060] Combined with the utilization value distribution, the regional area and weight deviation analysis adjustment function are used to calculate and generate land evaluation optimization indicators.

[0061] Combined with the utilization value distribution, the regional area value is first quantified through geographic surveying and mapping, the actual area value of each region is extracted, and the weight deviation analysis adjustment function is called to further correct the utilization value distribution in the region, and the benefit value of each region is calculated. By comprehensively comparing these benefit values ​​to evaluate the advantages and disadvantages of land use, different regions are optimized and ranked, and development strategies are adjusted to form land use evaluation optimization indicators.

[0062] A rural land use assessment method is provided, and the rural land use assessment method is implemented based on the rural land use assessment system, and comprises the following steps: S1: Based on the land unit division results, obtain the land use type value, spatial distance value and regional distribution value, calculate the spatial association relationship matrix, extract the conflict intensity value and combine it with the regional distribution value to perform neighborhood feature calculation to generate neighborhood conflict feature values; S2: Based on the neighborhood conflict characteristic value, the conflict intensity value and spatial connectivity parameter are extracted, the spatial connectivity value and ecological connectivity value are calculated, and the difference operation is performed between the two connectivity values ​​and the regional distribution value to generate the neighborhood dynamic characteristic quantitative value; S3: Based on the neighborhood dynamic characteristic quantification value, extract regional economic parameters and ecological connectivity parameters, calculate economic value characteristic value and ecological connectivity characteristic value, perform normalization and weighted operation, extract comprehensive distribution parameter value and calculate weight ratio in combination with conflict intensity value, and generate adaptive weight adjustment value; S4: Based on the adaptive weight adjustment value, the economic value characteristic value and the ecological connectivity characteristic value are called, and weighted distribution operation is performed according to the weight adjustment value. The land use benefit distribution value is calculated by combining the regional area value and the spatial connectivity value. The benefit distribution value is compared with the spatial conflict intensity value to generate the land use evaluation optimization index.

[0063] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A rural land use assessment system, characterized in that: The system comprises: Spatial analysis module: Based on the land unit division results, obtain the spatial distance value, land use type value and regional distribution value, superimpose and calculate the spatial correlation relationship matrix, extract the conflict intensity, and calculate the neighborhood conflict characteristic value in combination with the regional distribution value; Dynamic impact prediction module: based on the neighborhood conflict characteristic value, the conflict intensity value and the connectivity characteristic value are calculated to obtain the spatial connectivity value, the ecological connectivity value is superimposed and calculated, and the difference operation is performed in combination with the regional distribution value and the connectivity value to generate the neighborhood dynamic characteristic quantitative value; Adaptive weight adjustment module: based on the neighborhood dynamic characteristic quantification value, extract the economic value characteristic value and the ecological connectivity characteristic value, perform normalization and weighted operation, extract the comprehensive distribution value, calculate the weight ratio in combination with the conflict intensity value, and generate an adaptive weight adjustment value; Multi-level evaluation module: based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are extracted, the utilization value characteristic value is obtained by weighted superposition according to the adjustment value, the benefit value is calculated by combining the regional area value and the spatial connectivity value, and the land use evaluation value is generated; Verification and optimization module: Based on the land use assessment value, the assessment value is compared with the conflict intensity value, the deviation value is calculated, the ratio of regional economic distribution and ecological distribution parameters is adjusted, the utilization value distribution is calculated in combination with the calibration parameter distribution value, and the land assessment optimization index is generated.

2. The rural land use assessment system according to claim 1, characterized in that: The neighborhood conflict characteristic values ​​include conflict intensity and regional distribution value; the neighborhood dynamic characteristic quantization values ​​include ecological connectivity value and difference operation value; the adaptive weight adjustment value includes weight ratio and comprehensive distribution value; the land use evaluation value includes benefit value and utilization value characteristic value; the land evaluation optimization index includes deviation value and utilization value distribution.

3. The rural land use assessment system according to claim 2, characterized in that: The steps for obtaining the neighborhood conflict characteristic value are specifically as follows: Based on the land unit division results, the spatial distance value, land use type value and regional distribution value are called to construct a weighted superposition function of the three, and the spatial correlation relationship matrix is ​​calculated and generated; Extracting the conflict intensity in the spatial association relationship matrix, combining it with the regional distribution value, constructing neighborhood conflict characteristic parameters, and determining the conflict intensity by weighted operation on the regional distribution dimension to generate a neighborhood conflict characteristic parameter set; Based on the neighborhood conflict characteristic parameter set, the threshold judgment logic of the conflict intensity is set, and the threshold of the conflict intensity is dynamically adjusted using the formula: ； Calculate and obtain the neighborhood conflict characteristic value; in, represents the neighborhood conflict eigenvalue, represents the conflict intensity of the ith unit, represents the regional distribution value of the i-th unit, is the weighted average of the conflict intensity, Represents the number of area units.

4. The rural land use assessment system according to claim 3, characterized in that: The steps for obtaining the neighborhood dynamic feature quantization value are specifically as follows: Based on the neighborhood conflict characteristic value, calling the conflict intensity value and the connectivity characteristic value, calculating the weighted connectivity parameter between the spatial units, and generating a spatial connectivity value; In combination with the spatial connectivity value, the ecological connectivity parameter is called, and according to the overlap degree between the units, the regional distribution value is used as a weight, and the spatial connectivity value is superimposed and calculated to generate the ecological connectivity value; Based on the ecological connectivity value and the spatial connectivity value, combined with the regional distribution value, the difference weight coefficient is calculated, and the conflict characteristic value distribution is adjusted according to the regional difference, using the formula: ； Calculate and obtain the quantitative value of neighborhood dynamic characteristics; in, represents the quantitative value of the neighborhood dynamic characteristics, represents the spatial connectivity value of the ith unit, represents the ecological connectivity value of the ith unit, represents the regional distribution value of the i-th unit, represents the conflict eigenvalue of the ith unit, Represents the number of area units.

5. The rural land use assessment system according to claim 4, characterized in that: The step of obtaining the adaptive weight adjustment value is specifically as follows: Based on the neighborhood dynamic characteristic quantified value, the economic value characteristic value and the ecological connectivity characteristic value are called, normalized, and a normalized characteristic value is generated; The normalized economic value characteristic value and the ecological connectivity characteristic value are weighted and combined, a weighting factor is set to reflect the criticality of the differentiated characteristics, and the weighted characteristic values ​​of multiple data points are calculated to generate a comprehensive distribution value; Combining the comprehensive distribution value with the conflict intensity value in the region, the weighted average method is used to refer to the influence of each data point, and the formula is used: ； Calculate and obtain an adaptive weight adjustment value; in, represents the adaptive weight adjustment value, represents the comprehensive distribution value of the ith data point, represents the conflict intensity value of the ith data point, Represents the total number of data points.

6. The rural land use assessment system according to claim 5, characterized in that: The steps for obtaining the land use assessment value are specifically as follows: Based on the adaptive weight adjustment value, the economic value distribution value and the ecological connectivity distribution value are called, the data normalization matching scale is performed, the weighted utilization value characteristic value is calculated, and the weighted utilization value characteristic value is generated; Based on the weighted utility value characteristic value, the regional area value and the spatial connectivity value are applied to calculate the overall benefit value of multiple regions, and the weighted benefit value is generated by referring to the spatial location and economic activity density of each region; Using the weighted benefit value and combining the quantitative analysis results of regional area and spatial connectivity, the formula is adopted: ； Calculate the comprehensive evaluation index of land use, reflect the advantages and disadvantages of land use in differentiated areas, and obtain the land use evaluation value; in, represents the land use assessment value, represents the area value of the ith region, represents the weighted utility value feature value of the ith region, represents the spatial connectivity value of the ith region, Represents the total number of regions.

7. The rural land use assessment system according to claim 6, characterized in that: The steps for obtaining the land evaluation optimization index are as follows: Based on the land use assessment value, the conflict intensity value is called, the land use assessment value is compared with the conflict intensity value region by region, and the regional deviation value is extracted through differential deviation analysis; Using the regional deviation value, calling the regional economic distribution parameters and the ecological distribution parameters, adjusting the proportional relationship between the regional economic distribution parameters and the ecological distribution parameters, setting the dynamic weight distribution and performing proportional correction of the distribution parameters, and generating calibrated distribution parameters; Combining the calibrated distribution parameters with the regional deviation value, the utilization value characteristic value is adjusted using the normalized distribution function, using the formula: ； Calculate and generate utilization value distribution; in, Represents the utilization value distribution, represents the calibration distribution parameter of the ith region, represents the economic and ecological adjustment ratio of the ith region, represents the deviation value of the ith region, Total number of regions represented; In combination with the utilization value distribution, the regional area and weight deviation analysis adjustment function are used to calculate and generate land evaluation optimization indicators.

8. A rural land use assessment method, characterized in that: The rural land use assessment system according to any one of claims 1 to 7 is implemented, comprising the following steps: S1. Based on the land unit division results, obtain the land use type value, spatial distance value and regional distribution value, calculate the spatial association relationship matrix, extract the conflict intensity value and perform neighborhood feature calculation in combination with the regional distribution value to generate the neighborhood conflict feature value; S2. Based on the neighborhood conflict characteristic value, extract the conflict intensity value and the spatial connectivity parameter, calculate the spatial connectivity value and the ecological connectivity value, perform a difference operation on the two connectivity values ​​and the regional distribution value, and generate a neighborhood dynamic characteristic quantization value; S3. Based on the neighborhood dynamic characteristic quantization value, extract regional economic parameters and ecological connectivity parameters, calculate economic value characteristic values ​​and ecological connectivity characteristic values, perform normalization and weighted operations, extract comprehensive distribution parameter values ​​and calculate weight ratios in combination with conflict intensity values, and generate adaptive weight adjustment values; S4. Based on the adaptive weight adjustment value, the economic value characteristic value and the ecological connectivity characteristic value are called, and weighted distribution operation is performed according to the weight adjustment value. The land use benefit distribution value is calculated by combining the regional area value and the spatial connectivity value. The benefit distribution value is compared with the spatial conflict intensity value to generate a land use evaluation optimization index.

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