Rural residential area evaluation method based on toughness theory

Abstract

The invention discloses a rural residential area evaluation method based on a toughness theory. The method comprises the following steps: 1) collecting rural residential area evaluation reference data; 2) calculating a rural residence kernel system toughness evaluation index; 3) calculating the toughness evaluation index of the outer edge system of the rural residential area; 4) performing standardization processing on the rural residential area kernel system toughness evaluation index and the rural residential area outer edge system toughness evaluation index to obtain standardized evaluation indexes; and 5) determining the comprehensive toughness level of the rural residential area based on the standardized evaluation indexes. According to the invention, through overall evaluation of internal and external functional structures of rural residential areas, rural planning is changed from passive constraint to active cooperation, and transformation and upgrading of land space governance from two-dimensional management and control to three-dimensional enabling (space + function + mechanism) are realized. And finally, a benign development pattern that internal functions are used for guaranteeing livelihood base lines and external functions are used for expanding development space is formed.

Description

Technical Field

[0001] The present invention relates to the field of national land space planning, and in particular to a rural settlement evaluation method based on resilience theory. Background Art

[0002] The evaluation of rural settlements is a crucial component of national land space planning, encompassing aspects such as the human living environment, land use efficiency, ecological protection, and social development. Scientific evaluation can optimize the layout of rural settlements, promote intensive land use, and promote integrated urban and rural development.

[0003] Resilience theory emphasizes the ability of systems to withstand and mitigate internal and external disturbances, fostering sustainable development. It provides an important theoretical framework for exploring optimal pathways for mountain settlements to adapt to social, economic, and ecological changes. Rural settlement resilience refers to the ability to withstand and mitigate the risks posed by internal and external disturbances, and to leverage the external environment—economic, social, and environmental—to regain a new equilibrium. For rural areas, it is crucial to comprehensively consider the internal and external functional structures of rural settlements, understand the inherent characteristics of rural spatial resilience, identify the risks facing rural settlements, and cultivate resilient rural spaces that can adapt to changes in external disturbances or coexist with them. Only then can we effectively respond to and mitigate risks and challenges.

[0004] Existing evaluation methods for the internal functions of rural settlements include quantitative and qualitative methods, while existing evaluation methods for their external functions include GIS spatial analysis and economic models. Integrating these internal and external function evaluation methods to evaluate rural settlements results in the fragmentation of these functions into independent modules, lacking analysis of their interactions and failing to resolve conflicts between them. Existing methods for the coordination of internal and external functions are still in their infancy and require a transition from "fragmented evaluation" to "systematic coordination" through interdisciplinary models, dynamic data integration, and innovative policy mechanisms. Summary of the Invention

[0005] The purpose of the present invention is to provide a rural settlement evaluation method based on resilience theory, comprising the following steps:

[0006] 1) Collect reference data for rural settlement evaluation.

[0007] 2) Based on the rural settlement evaluation reference data, calculate the rural settlement core system resilience evaluation index.

[0008] 3) Based on the rural settlement evaluation reference data, calculate the rural settlement peripheral system resilience evaluation index.

[0009] 4) Standardize the resilience evaluation index of the core system of rural residential areas and the resilience evaluation index of the peripheral system of rural residential areas to obtain the standardized evaluation index.

[0010] 5) Determine the comprehensive resilience level of rural settlements based on standardized evaluation indicators.

[0011] Furthermore, the rural settlement evaluation reference data includes town location data, school location data, village committee location data, homestay location data, scenic spot reception point location data, and land use change survey data.

[0012] Furthermore, the rural settlement core system resilience evaluation indicators include terrain position index, land use diversity index, and land use compatibility index.

[0013] Furthermore, the terrain index is as follows:

[0014]

[0015] Where T is the topographic index. E represents the elevation of any area in the countryside.

[0016] Indicates the average elevation value of the rural area. S indicates the slope value of any area in the rural area. Indicates the average slope value of the rural area.

[0017] Furthermore, the land use diversity index is as follows:

[0018]

[0019] Where D is the land use diversity index. i represents the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and P i It represents the proportion of the area of ​​rural residential land type of type i to the total area of ​​rural residential land.

[0020] Furthermore, the land use compatibility index is as follows:

[0021]

[0022] Where J is the land use compatibility index. i and j both represent the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and C ij Indicates the compatibility value, A i 、A j They represent the areas of the i-th and j-th rural residential land use types respectively.

[0023] Furthermore, the resilience evaluation indicators of the peripheral system of rural settlements include the proportion of production space, the distance to the nearest school, the distance to the village committee, whether it involves geological disaster points, the distance to tourist reception facilities, the sown area of ​​economic crops, the landscape diversity index, the distance to the town, and the road network density.

[0024] Furthermore, the landscape diversity index is as follows:

[0025]

[0026] Where SHEI represents the landscape diversity index, k represents the landscape type index, m represents the number of landscape types, and P k It represents the proportion of the k-th type of landscape area to the total area of ​​rural residential land.

[0027] Furthermore, when the resilience evaluation index of the core system of rural settlements or the resilience evaluation index of the peripheral system of rural settlements has a positive effect, the standardization process is as follows:

[0028]

[0029] In the formula, X represents the evaluation index after standardization, x represents the evaluation index before standardization, and x max 、x min Respectively represent the maximum and minimum values ​​of the evaluation indicators before standardization.

[0030] When the resilience evaluation index of the core system of rural settlements or the resilience evaluation index of the peripheral system of rural settlements has a negative effect, the standardization process is as follows:

[0031]

[0032] Furthermore, the comprehensive resilience level of the rural settlements is as follows:

[0033]

[0034] Where RI is the comprehensive toughness index, t represents the evaluation index, w represents the total number of evaluation indicators, ω t represents the weight of the t-th evaluation index, X t Represents the evaluation index after the tth normalization process.

[0035] The technical effect of the present invention is unquestionable. The present invention proposes a rural settlement evaluation method based on resilience theory. The present invention constructs a comprehensive framework of multi-dimensional coordination of "social resilience + economic resilience + ecological resilience" through resilience theory to avoid imbalance in rural development. Resilience theory provides a new perspective for the evaluation of rural settlements that is systematic, dynamic and humanistic. It can not only identify shortcomings, but also guide villages to achieve a virtuous cycle of "resisting risks-adjusting structures-promoting transformation" in a complex environment. Through the overall evaluation of the internal and external functional structures of rural settlements, the present invention enables rural planning to shift from "passive constraints" to "active coordination", and realizes the transformation and upgrading of land space governance from "two-dimensional control" to "three-dimensional empowerment" (space + function + mechanism), and ultimately forms a virtuous development pattern of "using internal functions to ensure the bottom line of people's livelihood and using external functions to expand development space". BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0037] The present invention will be further described below with reference to the following examples, but it should not be understood that the scope of the present invention is limited to the following examples. Without departing from the above technical ideas of the present invention, various substitutions and modifications can be made according to common technical knowledge and customary means in the art, and all should be included in the scope of protection of the present invention.

[0038] Example 1:

[0039] See also Figure 1 , a rural settlement evaluation method based on resilience theory, including the following steps:

[0040] 1) Collect reference data for rural settlement evaluation.

[0041] 2) Based on the rural settlement evaluation reference data, calculate the rural settlement core system resilience evaluation index.

[0042] 3) Based on the rural settlement evaluation reference data, calculate the rural settlement peripheral system resilience evaluation index.

[0043] 4) Standardize the resilience evaluation index of the core system of rural residential areas and the resilience evaluation index of the peripheral system of rural residential areas to obtain the standardized evaluation index.

[0044] 5) Determine the comprehensive resilience level of rural settlements based on standardized evaluation indicators.

[0045] Example 2:

[0046] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in Example 1. Furthermore, the rural settlement evaluation reference data includes town location data, school location data, village committee location data, homestay location data, scenic spot reception point location data, and land use change survey data.

[0047] Example 3:

[0048] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 2. Furthermore, the rural settlement core system resilience evaluation index includes a terrain position index, a land use diversity index, and a land use compatibility index.

[0049] Example 4:

[0050] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 3. Furthermore, the terrain position index is as follows:

[0051]

[0052] Where T is the topographic index. E represents the elevation of any area in the countryside. Indicates the average elevation value of the rural area. S indicates the slope value of any area in the rural area. Indicates the average slope value of the rural area.

[0053] Example 5:

[0054] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 4. Furthermore, the land use diversity index is as follows:

[0055]

[0056] Where D is the land use diversity index. i represents the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and P i It represents the proportion of the area of ​​rural residential land type of type i to the total area of ​​rural residential land.

[0057] Example 6:

[0058] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 5. Furthermore, the land use compatibility index is as follows:

[0059]

[0060] Where J is the land use compatibility index. i and j both represent the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and Cij Indicates the compatibility value, A i 、A j They represent the areas of the i-th and j-th rural residential land use types respectively.

[0061] Example 7:

[0062] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 6. Furthermore, the resilience evaluation indicators of the peripheral system of the rural settlement include the proportion of production space, the distance to the nearest learning, the distance to the village committee, whether it involves geological disaster points, the distance to tourist reception facilities, the sown area of ​​economic crops, the landscape diversity index, the distance to the town, and the road network density.

[0063] Example 8:

[0064] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 7. Furthermore, the landscape diversity index is as follows:

[0065]

[0066] Where SHEI represents the landscape diversity index, k represents the landscape type index, m represents the number of landscape types, and P k It represents the proportion of the k-th type of landscape area to the total area of ​​rural residential land.

[0067] Example 9:

[0068] A rural settlement evaluation method based on resilience theory, the main technical content of which is described in any one of Examples 1 to 8. Furthermore, when the resilience evaluation index of the core system of a rural settlement or the resilience evaluation index of the peripheral system of a rural settlement has a positive effect, the normalization process is as follows:

[0069]

[0070] In the formula, X represents the evaluation index after standardization, x represents the evaluation index before standardization, and x max 、x min Respectively represent the maximum and minimum values ​​of the evaluation indicators before standardization.

[0071] When the resilience evaluation index of the core system of rural settlements or the resilience evaluation index of the peripheral system of rural settlements has a negative effect, the standardization process is as follows:

[0072]

[0073] Example 10:

[0074] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 1 to 9. Furthermore, the comprehensive resilience level of the rural settlement is as follows:

[0075]

[0076] Where RI is the comprehensive toughness index, t represents the evaluation index, w represents the total number of evaluation indicators, ω t represents the weight of the tth evaluation index, X t Represents the evaluation index after the tth normalization process.

[0077] Example 11:

[0078] See also Figure 1 , a rural settlement evaluation method based on resilience theory, including the following steps:

[0079] 1) Collect reference data for rural settlement evaluation.

[0080] 2) Based on the rural settlement evaluation reference data, calculate the rural settlement core system resilience evaluation index.

[0081] 3) Based on the rural settlement evaluation reference data, calculate the rural settlement peripheral system resilience evaluation index.

[0082] 4) Standardize the resilience evaluation index of the core system of rural residential areas and the resilience evaluation index of the peripheral system of rural residential areas to obtain the standardized evaluation index.

[0083] 5) Determine the comprehensive resilience level of rural settlements based on standardized evaluation indicators.

[0084] Example 12:

[0085] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in Example 11. Furthermore, the rural settlement evaluation reference data includes socioeconomic data, town location data, school location data, village committee location data, homestay location data, scenic area reception point location data, town population data, school population data, village committee population data, homestay population data, scenic area reception point population data, town economic crop planting data, school economic crop planting data, village committee economic crop planting data, homestay economic crop planting data, scenic area reception point economic crop planting data, and land use change survey data.

[0086] Example 13:

[0087] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 12. Furthermore, the rural settlement core system resilience evaluation index includes a terrain position index, a land use diversity index, and a land use compatibility index.

[0088] The topographic position index (Equation 1), land use diversity index (Equation 2), and land use compatibility index (Equation 3) are used to characterize the internal resilience of rural settlements. In complex mountainous terrain, settlements located at lower altitudes and with shallower slopes are more suitable and less prone to natural disasters. The higher the level of land use diversity within a settlement, the stronger its adaptive capacity. The more orderly the layout of various plots within a patch, the greater its compatibility and the stronger its adaptability.

[0089] Example 14:

[0090] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 13. Furthermore, the terrain position index is as follows:

[0091]

[0092] Where T is the topographic index. E represents the elevation of any area in the countryside. Indicates the average elevation value of the rural area. S indicates the slope value of any area in the rural area. Represents the average slope value of the rural area. The larger the value of T, the higher the elevation of the rural settlement and the steeper the slope.

[0093] Example 15:

[0094] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 14. Furthermore, the land use diversity index is as follows:

[0095]

[0096] Where D is the land use diversity index. i represents the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and P i It represents the proportion of the land use type of the i-th rural settlement to the total land use of rural settlements. The larger the value of D, the higher the degree of diversity of rural settlement land use.

[0097] Example 16:

[0098] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 15. Furthermore, the land use compatibility index is as follows:

[0099]

[0100] Where J is the land use compatibility index. i and j both represent the land use type index of rural residential areas, n represents the number of land use types of rural residential areas, and C ij Indicates the compatibility value, which is determined by expert evaluation for residential, commercial, industrial, green space and other land use types. Compatibility scores are assigned to different combinations of uses. i 、A j The larger the value of J, the higher the compatibility of rural residential land use.

[0101] Example 17:

[0102] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 16. Furthermore, the resilience evaluation indicators of the peripheral system of the rural settlement include the proportion of production space, the distance to the nearest learning, the distance to the village committee, whether it involves geological disaster points, the distance to tourist reception facilities, the sown area of ​​economic crops, the landscape diversity index, the distance to the town, and the road network density.

[0103] First, considering the intertwined distribution of ecological space, agricultural production space, and rural settlement space in mountainous areas, resulting in greater spatial disturbance, the peripheral system, which closely interacts with the settlements, should possess suitability for production and living. Rural residents can fully utilize the material foundation provided by surrounding agricultural production resources such as cultivated land and gardens to engage in agricultural production activities. This is evaluated based on indicators such as the proportion of production space, distance to the nearest school, and distance to the village committee. Given the high frequency of high-intensity natural disasters in the study area, the presence of geological hazard sites was used as an indicator for evaluating the suitability of the peripheral system. Second, interaction with surrounding ecological space, consumption or disturbance of ecological space, and the value of ecological resources were evaluated based on distance to scenic areas and the landscape diversity index (Equation 4). Furthermore, considering that traditional industries such as traditional Chinese medicinal materials are the main source of income in mountainous areas, the area of ​​cash crop cultivation was used as an indicator for evaluating the redundancy of the peripheral system. Third, social interaction with surrounding residents, as well as non-agricultural economic activities such as handicrafts, rural industry, tourism, and services, were evaluated based on factors such as distance to the town and road network density.

[0104] Example 18:

[0105] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 17. Furthermore, the landscape diversity index is as follows:

[0106]

[0107] Where SHEI represents the landscape diversity index, k represents the landscape type index, m represents the number of landscape types, and P kIt represents the proportion of the k-th type of landscape area to the total area of ​​rural residential land.

[0108] Example 19:

[0109] A rural settlement evaluation method based on resilience theory, the main technical content of which is described in any one of Examples 11 to 18. Furthermore, when the resilience evaluation index of the core system of a rural settlement or the resilience evaluation index of the peripheral system of a rural settlement has a positive effect, the normalization process is as follows:

[0110]

[0111] In the formula, X represents the evaluation index after standardization, x represents the evaluation index before standardization, and x max 、x min Respectively represent the maximum and minimum values ​​of the evaluation indicators before standardization.

[0112] The positive effect refers to an indicator whose value increases, indicating an increase in goal achievement, increased benefits, or improved status. The larger the value, the better. The negative effect refers to an indicator whose value increases, indicating a decrease in goal achievement, increased risks, or worsening status. The smaller the value, the better.

[0113] When the resilience evaluation index of the core system of rural settlements or the resilience evaluation index of the peripheral system of rural settlements has a negative effect, the standardization process is as follows:

[0114]

[0115] Example 20:

[0116] A rural settlement evaluation method based on resilience theory, the main technical content of which is shown in any one of Examples 11 to 19. Furthermore, the comprehensive resilience level of the rural settlement is as follows:

[0117]

[0118] Where RI is the comprehensive toughness index, t represents the evaluation index, w represents the total number of evaluation indicators, ω t The weight of the t-th evaluation index is determined by combining the entropy method and expert scoring. t Represents the evaluation index after the tth normalization process.

[0119] Example 21:

[0120] See also Figure 1 , a rural settlement evaluation method based on resilience theory, including the following steps:

[0121] Construct an evaluation index for the core system resilience of rural settlements. Specific indicators include:

[0122] The topographic position index (Equation 1), land use diversity index (Equation 2), and land use compatibility index (Equation 3) are used to characterize the internal resilience of rural settlements. In complex mountainous terrain, settlements located at lower altitudes and with shallower slopes are more suitable and less prone to natural disasters. The higher the level of land use diversity within a settlement, the stronger its adaptive capacity. The more orderly the layout of various plots within a patch, the greater its compatibility and the stronger its adaptability.

[0123] Topographic index

[0124]

[0125] Where, T is the topographic index, E, are the elevation values ​​of any grid in the study area and the average elevation values ​​of all grids, S, are the slope values ​​of any grid in the study area and the average slope values ​​of all grids, respectively. The larger the value of T, the higher the elevation of the rural settlement and the greater the slope.

[0126] Land use diversity index

[0127]

[0128] Where D is the land use diversity index. i is the proportion of the i-th land use type to the rural residential land area. n is the number of land use types in rural residential areas. The larger the value of D, the higher the degree of land use diversity in rural residential areas.

[0129] Land use compatibility index

[0130]

[0131] Where J is the land use compatibility index. ij A is the compatibility value. i / A j is the area ratio of rural residential land type i to residential land type j. The larger the value of J, the higher the land use compatibility of rural residential areas.

[0132] Construct an evaluation index for the resilience of the settlement periphery system. Specific indicators include:

[0133] First, considering the intertwined distribution of ecological space, agricultural production space, and rural settlement space in mountainous areas, resulting in greater spatial disturbance, the peripheral system, which closely interacts with the settlements, should possess suitability for production and living. Rural residents can fully utilize the material foundation provided by surrounding agricultural production resources such as cultivated land and gardens to engage in agricultural production activities. This is evaluated based on indicators such as the proportion of production space, distance to the nearest school, and distance to the village committee. Given the high frequency of high-intensity natural disasters in the study area, the presence of geological hazard sites was used as an indicator for evaluating the suitability of the peripheral system. Second, interaction with surrounding ecological space, consumption or disturbance of ecological space, and the value of ecological resources were evaluated based on distance to scenic areas and the landscape diversity index (Equation 4). Furthermore, considering that traditional industries such as traditional Chinese medicinal materials are the main source of income in mountainous areas, the area of ​​cash crop cultivation was used as an indicator for evaluating the redundancy of the peripheral system. Third, social interaction with surrounding residents, as well as non-agricultural economic activities such as handicrafts, rural industry, tourism, and services, were evaluated based on factors such as distance to the town and road network density.

[0134] Landscape diversity index

[0135]

[0136] Where SHEI is the Shannon diversity index, P i is the proportion of landscape type i to the total area (%), and m is the number of patch types.

[0137] The comprehensive resilience level of rural settlements is determined by comprehensively considering the resilience of the core system and the outer system. The specific indicators and weights are shown in the following table.

[0138] Table 1 Resilience indicators and weights of core system and peripheral system

[0139]

[0140] Example 22:

[0141] See also Figure 1 , a rural settlement evaluation method based on resilience theory, including the following steps:

[0142] S1, select research subjects and collect relevant data;

[0143] S2, constructs an evaluation index of the core system resilience of rural settlements.

[0144] S3, construct an evaluation index for the resilience of the peripheral system of settlements.

[0145] S4, indicator standardization.

[0146] S5, integrates the resilience of the core system and the peripheral system to determine the comprehensive resilience level of rural settlements.

[0147] Step S1 includes the following steps:

[0148] S11, collect relevant data, mainly including socioeconomic data, locations of towns, schools, village committees, homestays, scenic area reception points, population, cash crop planting data, and land use change survey database.

[0149] Step S2 includes the following steps:

[0150] S21, calculating the terrain position index.

[0151]

[0152] Where, T is the topographic index, E, are the elevation values ​​of any grid in the study area and the average elevation values ​​of all grids, S, are the slope values ​​of any grid in the study area and the average slope values ​​of all grids, respectively. The larger the value of T, the higher the elevation of the rural settlement and the greater the slope.

[0153] S22, calculate the land use diversity index.

[0154]

[0155] Where D is the land use diversity index. i is the proportion of the i-th land use type to the rural residential land area. n is the number of land use types in rural residential areas. The larger the value of D, the higher the degree of land use diversity in rural residential areas.

[0156] S23, calculate the land use compatibility index.

[0157]

[0158] Where J is the land use compatibility index. ij A is the compatibility value. i / A j is the area ratio of rural residential land type i to residential land type j. The larger the value of J, the higher the land use compatibility of rural residential areas.

[0159] Step S3 includes the following steps:

[0160] S31: Organize various data and calculate the landscape diversity index.

[0161]

[0162] Where SHEI is the Shannon diversity index, P i is the proportion of landscape type i to the total area (%), and m is the number of patch types.

[0163] Step S4 includes the following steps:

[0164] S41, in order to eliminate the dimensional influence of the measurement unit of the evaluation index, the extreme value method is used to normalize the original data.

[0165] When the indicator has a positive effect:

[0166]

[0167] When an indicator has a negative effect:

[0168]

[0169] Wherein, X is the index value after normalization processing, and x is the original index value before normalization processing. Step S5 includes the following steps:

[0170] The calculation results are shown in Table 2.

[0171] Table 2 Resilience indicators and weights of core system and peripheral system

[0172]

Claims

1. A rural settlement evaluation method based on resilience theory, characterized by: The following steps are involved: 1) Collect reference data for rural settlement evaluation; 2) Based on the rural settlement evaluation reference data, calculate the rural settlement core system resilience evaluation index; 3) Based on the rural settlement evaluation reference data, calculate the rural settlement peripheral system resilience evaluation index; 4) Standardize the core system resilience evaluation index of rural residential areas and the peripheral system resilience evaluation index of rural residential areas to obtain standardized evaluation indicators. 5) Determine the comprehensive resilience level of rural settlements based on standardized evaluation indicators.

2. The rural settlement evaluation method based on resilience theory according to claim 1 is characterized in that: The rural settlement evaluation reference data includes town location data, school location data, village committee location data, homestay location data, scenic spot reception point location data, and land use change survey data.

3. The rural settlement evaluation method based on resilience theory according to claim 1 is characterized in that: The rural settlement core system resilience evaluation indicators include terrain position index, land use diversity index, and land use compatibility index.

4. The rural settlement evaluation method based on resilience theory according to claim 3 is characterized in that: The terrain index is as follows: Where T is the topographic index; E represents the elevation value of any area in the rural area. represents the average elevation value of the rural area; S represents the slope value of any area in the rural area. Indicates the average slope value of the rural area.

5. The rural settlement evaluation method based on resilience theory according to claim 3 is characterized in that: The land use diversity index is as follows: Where D is the land use diversity index; i represents the land use type index of rural residential areas; n represents the number of land use types of rural residential areas; P i It represents the proportion of the area of ​​rural residential land type of type i to the total area of ​​rural residential land.

6. The rural settlement evaluation method based on resilience theory according to claim 3 is characterized in that: The land use compatibility index is as follows: Where J is the land use compatibility index; i and j are the land use type indexes of rural residential areas; n is the number of land use types of rural residential areas; C ij Indicates the compatibility value, A i 、A j They represent the areas of the i-th and j-th rural residential land use types respectively.

7. The rural settlement evaluation method based on resilience theory according to claim 1 is characterized in that: The resilience evaluation indicators of the rural settlement peripheral system include the proportion of production space, distance to the nearest school, distance to the village committee, whether it involves geological disaster points, distance to tourist reception facilities, economic crop planting area, landscape diversity index, distance to the town, and road network density.

8. The rural settlement evaluation method based on resilience theory according to claim 7 is characterized in that: The landscape diversity index is as follows: Where SHEI represents the landscape diversity index; k represents the landscape type index; m represents the number of landscape types; P k It represents the proportion of the k-th type of landscape area to the total area of ​​rural residential land.

9. The rural settlement evaluation method based on resilience theory according to claim 1 is characterized in that: When the rural settlement core system resilience evaluation index or the rural settlement peripheral system resilience evaluation index has a positive effect, the standardization process is as follows: In the formula, X represents the evaluation index after standardization, x represents the evaluation index before standardization, and x max 、x min Respectively represent the maximum and minimum values ​​of the evaluation index before standardization; When the resilience evaluation index of the core system of rural settlements or the resilience evaluation index of the peripheral system of rural settlements has a negative effect, the standardization process is as follows:

10. The rural settlement evaluation method based on resilience theory according to claim 1 is characterized in that: The comprehensive resilience levels of the rural settlements are as follows: Where RI is the comprehensive toughness index, t represents the evaluation index, w represents the total number of evaluation indicators, ω t represents the weight of the tth evaluation index, X t Represents the evaluation index after the tth normalization process.

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