CN110264111B - Mountain area people-ground relation regional system space quantization model based on geographic space - Google Patents
Mountain area people-ground relation regional system space quantization model based on geographic space Download PDFInfo
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Abstract
The invention discloses a spatial quantization model of a mountain area human-ground relation regional system based on geographic space, which comprises the following steps: calculating human activity intensity, including index selection, model construction, establishing a settlement activity intensity model and a traffic construction intensity model, and then calculating a human activity comprehensive intensity model; selecting 4 key factors of rainfall erosion force, topographic relief degree, vegetation coverage and soil erodibility as indexes, establishing a discrimination standard, and respectively establishing an erosion sensitivity discrimination standard table, an erosion danger discrimination standard table and a natural ecosystem vulnerability discrimination standard table; finally, carrying out people-ground relationship co-scheduling calculation; determining a human-ground relationship type based on the administrative unit scale, and counting the number of grid units of different human-ground relationship types of the administrative unit by means of an ARCGIS region counting module; and calculating the human-ground relationship co-scheduling of different administrative units according to a formula, and aggregating the human-ground relationship evaluation of the geographic space scale to the administrative unit scale.
Description
Technical Field
The invention relates to the technical field of geographic information science, in particular to a spatial quantification model of a mountain region human-ground relation regional system based on geographic space.
Background
The human-ground relationship geographic system study element is the core of geography, and various technical schemes are provided for the regional human-ground relationship state, the human-ground relationship geographic system coupling degree, the human-ground relationship vulnerability and the human-ground relationship tension degree, and the prior technical scheme shows commonalities in two aspects. The technical scheme is mainly used for constructing an evaluation index system, mainly selects characterization indexes from the aspects of economy, society, resources and environment, and constructs the evaluation system for analysis. In order to pursue systematicness and completeness of an index system, the types of selected indexes are continuously increased, related contents are continuously expanded, so that evaluation results are seemingly comprehensive, pertinence and comparability are reduced in reality, and effective guidance and practice are difficult. Secondly, in the prior art, administrative divisions are basically used as basic units, the method is more practical for plain areas, and however, the method has obvious defects when being used for mountainous areas. Because most of the mountain areas have low human activity intensity and some areas have no human activity in spite of large administrative unit area of the mountain areas, the human-ground relationship of the areas is mainly determined by a natural system; therefore, if the administrative division is used as the basic evaluation unit, the spatial difference of the mountain human-ground relationship regional system cannot be effectively represented, and the interrelation and the action strength between the mountain human social system and the resource environmental system cannot be explained.
The areas of the Chinese mountainous areas (mountainous regions, hills and plateaus) account for more than 2/3% of the total land area, and the living population accounts for about 45% of the total population in China. On one hand, the mountain area is used as a national centralized poverty-stricken main body area, and poverty alleviation and hardness overcoming are urgent to accelerate economic development and improve living standard of residents; on the other hand, most mountainous areas are classified into "development restricted" and "development prohibited" categories according to the national subject functional area location, and there is a need to enhance ecological environment construction and minimize human activity interference such as large-scale development from the viewpoint of national ecological safety. Compared with plain areas, the mountain areas are under double pressure of economic and social development and ecological environment protection, so that the coordinated development of a human-land relationship regional system is promoted, and key points are to be found in the mountain areas and challenge to be found in the mountain areas. Therefore, there is a need to effectively identify the human activity intensity and the spatial differentiation thereof in mountainous areas and analyze the relationship between the human activity intensity and the natural system.
In summary, a spatial quantization model of a mountain region human-ground relationship geographical system based on geographic space is provided, and a grid is used as a minimum identification unit to analyze the spatial difference of the human-ground relationship geographical system. The model decomposes a human-ground relationship regional system into a human system and a natural system, firstly carries out spatial quantization on human activity intensity and natural ecological vulnerability, and then superposes a single system by a dynamic comprehensive balancing method, so as to clarify the influence of the natural system in mountainous areas on human activity spatial distribution and the feedback action of human activity on the natural system and reveal the interaction and mutual feedback mechanism of the human activity and the natural system.
Disclosure of Invention
The invention aims to solve the problems and provides a spatial quantification model of a mountain area human-ground relation regional system based on a geographic space. Different from the traditional human-ground relationship evaluation method, the method tries to construct a human-ground relationship evaluation model based on grid from the view point of geographic space by means of GIS (geographic information system) so as to realize quantitative research on the human-ground relationship space in mountainous areas.
In order to achieve the purpose, the technical scheme of the invention is as follows:
a mountain area human-ground relation regional system space quantization model based on geographic space comprises the following steps:
s1, calculating human activity intensity
And S11, selecting indexes, and selecting the settlement niches and the road network as basic indexes for quantifying the human activity intensity.
S12 model construction
S121, establishing a settlement activity intensity model, and taking the settlement population density as a human activity intensity basic value of a settlement center grid i, namely source intensity:
Dij＝(Pi×vij/Vi)/Aij (1)
in the formula DijPopulation Density of i village j colony, PiIs the general population of village i, vij is the area of the residential site of village i and the residential site of the colony, ViThe total area of residential points of i village, and Aij is the total area of the colony of i village j;
the human activity intensity value for each grid was calculated, the model is as follows:
Iij＝M-S×lnR (2)
wherein IijThe human activity intensity of a grid point j with the distance R from a central grid i of the settlement, wherein R is the distance between the grid i and the grid j, M is the human activity intensity value of the grid i, and s is a gradient correction factor;
S122, determining the source strength of roads with different grades by adopting an expert scoring method and an analytic hierarchy process by using a traffic construction strength model, and taking the source strength as the strength value of the central point grid of the road; considering the Distance attenuation effect of the road on the radiation influence of the peripheral area and the limitation of the landform on the radiation influence, adopting an Inverse Distance Weighting (IDW) method, and carrying out spatial interpolation by taking the gradient as a limiting factor;
s123, human activity comprehensive strength model
And (3) determining 2 component weights 0.7468 and 0.2532 in sequence by integrating the contribution rates of the settlement activity intensity and the traffic construction intensity to the human activity comprehensive intensity by adopting an expert scoring method and an analytic hierarchy process, and calculating the human activity comprehensive intensity based on the geographic space.
Wherein I is the comprehensive strength of human activities, IiFor intensity of settlement activities and traffic construction, wiIs a weight;
s2 calculating vulnerability of natural ecosystem
S21 index selection and evaluation method
4 key factors of rainfall erosion force, topographic relief degree, vegetation coverage and soil erodibility are selected, the current situation of soil erosion is synthesized, erosion vulnerability is analyzed, on the basis, the erosion vulnerability and disaster danger are superposed, a discrimination model is constructed, and spatial quantitative evaluation of vulnerability of a natural ecological system is realized;
4 factors of erosion susceptibility among them: rainfall erosion force, topographic relief degree, soil erodibility and vegetation coverage weight values are 0.2867, 0.2987, 0.2420 and 0.1726 respectively, and the sensitivity calculation formula is as follows:
in the formula, SjThe comprehensive evaluation value is the soil erosion sensitivity of the grid j; wiIs the weight of the factor i; cijGrid sensitivity level value of i factor j;
s22, establishing a discrimination standard, and respectively establishing an erosion sensitivity discrimination standard table, an erosion danger discrimination standard table and a natural ecosystem vulnerability discrimination standard table;
s3, calculating the coordination degree of the human-ground relationship
Dividing the human activity intensity into 4 grades by using an ARCGIS natural fracture method; performing superposition analysis on human activity intensity and natural ecological vulnerability by using a grid operation module in an ARCGIS space analysis function, dividing the human-ground relationship types into 5 types according to a discrimination model, wherein the types are respectively excessive, antagonistic, background, balanced and coordinated; wherein: the transition area is an area with high activity intensity of human and high natural ecological vulnerability; the antagonistic region is a region with higher activity intensity of human and higher natural ecological vulnerability; the background area is an area with low human activity intensity and high natural ecological vulnerability; the balance area is an area with low human activity intensity and low natural ecological vulnerability; the coordination area is an area with high human activity intensity but low vulnerability of a natural ecosystem; the main influencing factors of the human-ground relationship transition region and the antagonism region are human activities, and the main influencing factors of the background region and the balance region are natural conditions;
S4, determining the type of the human-ground relationship based on the administrative unit scale
Firstly, counting the number of grid units of different people-ground relationship types of administrative units by means of an ARCGIS region counting module; calculating area proportions of different types; thirdly, assigning values to different human-ground relationship types according to an expert scoring method; the human-ground relationship depends on 'human' rather than 'ground', and the 'positive effect' of promoting the human-ground coordinated development of human activities is assigned with the highest value according to the human-ground relationship interaction thought of 'human core'; the lowest value is assigned to the 'negative action'; the influence of human activities on a regional system is not obvious, and the assignment is between the two; fourthly, calculating the human-ground relationship co-scheduling of different administrative units according to a formula, aggregating the human-ground relationship evaluation of the geographic space scale to the administrative unit scale, wherein the calculation formula is as follows:
in the formula, HLRj(ii) person-to-ground relationship geographical system co-scheduling, W, for administrative Unit jijFor administrative units j, the type area proportion of the human-ground relationship i, RiIs the score of type zone i. HLR (Home location register)jThe larger the value, the higher the degree of human-ground relationship coordination.
As a further improvement to the above solution, the threshold value of the s-slope correction factor is determined to be 25 °.
As a further improvement to the above technical solution, when the s-slope correction factor is greater than 25 °, the intensity value of the inverse distance weighting method is determined to be 0.
As a further improvement to the above technical solution, the source strengths of the highways of different grades are:
TABLE 1 Source Strength Meter for highways of different grades
As a further improvement to the above technical solution, the criterion of the erosion sensitivity is:
TABLE 2 criteria for erosion sensitivity
As a further improvement to the above technical solution, the criterion of the vulnerability to corrosion is:
TABLE 3 criteria for determination of erosion Risk
As a further improvement to the above technical solution, the criterion for determining vulnerability of the natural ecosystem is as follows:
TABLE 4 criterion for vulnerability of natural ecosystem
As a further improvement to the technical scheme, the grading standard of the human activity intensity is as follows:
TABLE 5 human Activity Strength grading Standard
As a further improvement to the above technical solution, the human-ground relationship coordination degree discrimination model is:
TABLE 6 model for discriminating coordination degree of human-ground relationship
As a further improvement to the technical scheme, the human-ground relationship coordination degree is assigned as
TABLE 7 human-to-ground relationship co-scheduling assignments
Compared with the prior art, the invention has the advantages and positive effects that:
1. The model of the invention can effectively overcome the annihilation of core information, and can be evaluated from the geographic space scale, thereby better explaining the interrelation of a human system and a natural system and disclosing the key restriction factors formed by a human-ground relationship regional system; 2. the exploration of the geospatial scale quantitative model provides a scientific method with operability for evaluating the human-ground relationship state of the small-scale unit; firstly, key indexes are used for replacing full-factor indexes for modeling, a human system only comprises 4 indexes of settlement niches, population density, a road network and a road grade, a natural system only comprises 3 indexes of erosion sensitivity, an erosion current situation and disaster risks, the number of the indexes is small, and the indexes are easy to obtain; the second base is based on the analysis of different spatial granularities, and the spatial differences of the geographic objects are different in detail; the grid is used as the minimum identification unit, the space granularity of the grid is smaller than that of the administrative unit, the disclosed space difference is more detailed, the small scale can be aggregated into the large scale, namely the result based on the grid unit can be aggregated to the administrative unit.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a spatial quantization model diagram of a mountain area human-ground relationship regional system based on geographic space;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived from the embodiments of the present invention by a person skilled in the art without any creative effort, should be included in the protection scope of the present invention.
As shown in FIG. 1, the mountain area human-ground relationship regional system space quantization model based on geographic space of the invention comprises the following steps:
The key restriction factors of the mountain land-human relationship are remarkably different, in an area with less human activities, the human-land relationship depends on a natural system, in an area with higher human activity intensity, the human-land relationship is a comprehensive result of interaction between human and environment, so that the method is different from the traditional human-land relationship evaluation method, and tries to construct a grid-based human-land relationship evaluation model from a geographic space perspective by means of a GIS (geographic information system) as shown in figure 1, so that the quantitative research of the mountain land-human relationship space is realized.
In order to effectively identify the human activity intensity and the spatial difference of a natural ecological system, a model is divided into 2 parts, firstly, a human activity intensity and natural ecological system vulnerability spatial quantification model is constructed, and single system research is developed; on the basis, by means of the space analysis function of the GIS, the human activity intensity and the vulnerability of a natural ecological system are spatially superposed, a comprehensive judgment model is constructed to carry out human-ground relation spatial quantification, and key restriction factors of human-ground relation regional systems in different areas are identified.
Step 1 human activity intensity calculation
Step 1.1 index selection
The settlement is a space-time unit with the closest relationship between human production and life and the external environment, and the spatial distribution of the settlement determines the influence scale and the spatial range of human on the natural system. According to the characteristics of mountain colony, the ecological niche concept in ecology is applied to establish the mountain colony ecological niche, and the ecological niche represents the space unit of colony. Traffic acts as a "geographic second element," reducing the natural conditions' restrictions on human activities. Particularly, in mountainous areas, the highway is used as an axis of a connecting and gathering 'point' element, is a channel for communicating local residents with the outside, and can continuously attract human activities to gather to the highway to form an important corridor for human activities, so that the human activity space is enlarged, and the action strength of a human social system on the natural environment is enhanced. Therefore, the settlement niches and the road network are selected as basic indexes for quantifying the activity intensity of the human beings.
Step 1.2 model construction
1.2.1 Movable Strength model of Fall
The human activity intensity is obviously different along with different population clustering degrees, and the colony population density is used as a human activity intensity basic value of a colony center grid i, namely the source intensity:
Dij＝(Pi×vij/Vi)/Aij (1)
in the formula DijPopulation Density of i village j colony, PiIs the general population of village i, vij is the area of the residential site of village i and the residential site of the colony, ViIs the total area of the residential points of i village, and Aij is the total area of the colony of i village j.
The colony, which is the core of human activities, has strong attractive force (accumulation) and radiation force (diffusion), and takes various 'fluid' as a carrier to interact with adjacent areas, and the maximum range reached by the action forms the spatial range of human activity intensity. By virtue of the concept of physics, the settlement is called a settlement field. The potential energy difference between the center and the periphery cannot be separated from the formation of the colony field, and the colony field shows a gradual attenuation rule along with the increase of the distance from the center until the action of the field becomes zero. In mountainous areas, the diffusion of the colony is limited by the terrain conditions besides being affected by the distance, namely when the gradient reaches more than 25 degrees, the diffusion of the colony is greatly resisted, and the human activity intensity value of each grid is calculated according to the analysis, and the model is as follows:
Iij＝M-S×lnR (2)
Wherein IijThe human activity intensity of a grid point j with a distance R from a central grid i of the settlement, the distance R between the grid i and the grid j, the human activity intensity value M of the grid i, the slope correction factor s, the larger the slope, the larger the resistance to the diffusion of the human activity intensity, the slope 25 degrees is taken as a threshold value, after the slope exceeds 25 degrees, the resistance is increased to infinity, and the activity intensity is not diffused any more
1.2.2 traffic construction intensity model
The source strengths of the roads of different grades (table 1) are determined by adopting an expert scoring method and an analytic hierarchy process and are used as the strength values of the central point grids of the roads. In consideration of the Distance attenuation effect of the road on the radiation influence of the peripheral area and the limitation of the landform on the radiation influence, an Inverse Distance Weighting (IDW) method is adopted, the slope is used as a limiting factor to carry out spatial interpolation, and when the slope is larger than 25 degrees, the intensity value is 0.
TABLE 1 Source Strength Table for highways of different grades
1.2.3 human Activity composite Strength model
And (3) determining 2 component weights 0.7468 and 0.2532 in sequence by integrating the contribution rates of the settlement activity intensity and the traffic construction intensity to the human activity comprehensive intensity by adopting an expert scoring method and an analytic hierarchy process, and calculating the human activity comprehensive intensity based on the geographic space.
Wherein I is the comprehensive strength of human activities, IiFor intensity of settlement activities and traffic construction, wiAre weights.
Step 2 calculating vulnerability of natural ecosystem
Step 2.1 index selection and evaluation method
The comprehensive action of natural elements such as weather conditions, landforms, vegetation coverage, soil and the like determines the sensitivity of the area to external interference[166]Selecting 4 key factors of rainfall erosion force, topographic relief degree, vegetation coverage and soil erodibility, synthesizing the current situation of soil erosion, analyzing the erosion vulnerability, superposing the erosion vulnerability and disaster risk on the basis, and constructing a discrimination model to realize the spatial quantitative evaluation of the vulnerability of the natural ecosystem.
Where 4 factors of erosion susceptibility: rainfall erosion force, topographic relief degree, soil erodibility and vegetation coverage weight values are 0.2867, 0.2987, 0.2420 and 0.1726 respectively, and the sensitivity calculation formula is as follows:
in the formula, SjThe comprehensive evaluation value is the soil erosion sensitivity of the grid j; wiIs the weight of the factor i; cijGrid sensitivity level values are i-factor j.
Step 2.2 criteria
2.2.1 erosion sensitivity
TABLE 2 criteria for erosion sensitivity
2.2.2 vulnerability to attack
TABLE 3 criteria for determination of erosion Risk
2.2.3 vulnerability of Natural ecosystem
TABLE 4 criterion for the fragility of natural ecosystem
Step 3, calculation of person-to-ground relationship co-scheduling
Firstly, dividing the human activity intensity into 4 grades by using an ARCGIS natural fracture method, wherein the grading standard is shown in a table 5; a grid operation module in an ARCGIS space analysis function is utilized to conduct superposition analysis of human activity intensity and natural ecological vulnerability, and according to a discrimination model (table 7), human-ground relation types are divided into 5 types, namely transition, antagonism, background, balance and coordination. Wherein: the transition area is an area with high activity intensity of human and high natural ecological vulnerability; the antagonistic zone is a zone with higher human activity intensity and higher natural ecological vulnerability; the background area is an area with low human activity intensity but high natural ecological vulnerability; the balance area is an area with low human activity intensity and low natural ecological vulnerability; the coordination area is an area with high activity intensity of human beings but low vulnerability of natural ecosystem. The main influence factors of the human-ground relation transition zone and the antagonism zone are human activities, and the main influence factors of the background zone and the equilibrium zone are natural conditions.
TABLE 5 human Activity Strength grading Standard
TABLE 6 model for discriminating coordination degree of human-ground relationship
Step 4, the type of the relationship between people and ground based on the scale of the administrative unit
Counting the number of grid units of different human-ground relationship types of administrative units by means of an ARCGIS region counting module; calculating area proportions of different types; thirdly, assigning values to different types of the relation between people and the ground according to an expert scoring method (table 8); the human-ground relationship depends on 'human' rather than 'ground', and the 'positive effect' of promoting the human-ground coordinated development of human activities is assigned with the highest value according to the human-ground relationship interaction thought of 'human core'; the lowest value is assigned to the 'negative action'; the influence of human activities on a regional system is not obvious, and the assignment is between the two; fourthly, calculating the human-ground relationship co-scheduling of different administrative units according to a formula, aggregating the human-ground relationship evaluation of the geographic space scale to the administrative unit scale, wherein the calculation formula is as follows:
in the formula, HLRjPerson-to-ground relationship geographical system co-dispatch, W, for administrative Unit jijFor administrative units j people-ground relations i type area proportion, RiIs the score of type zone i. HLR (Home location register)jThe larger the value, the higher the degree of human-ground relationship coordination.
TABLE 7 human-to-ground relationship co-scheduling assignments
2.3, the beneficial effects brought by the technical scheme of the invention
1. The quantitative model based on the geospatial scale can effectively overcome the annihilation of core information, is evaluated from the geospatial scale, better explains the interrelation of a human system and a natural system, and reveals key restriction factors formed by a human-ground relationship regional system.
2. The exploration of the geospatial scale quantification model provides an operational scientific method for evaluating the human-ground relationship state of the small-scale unit. According to the method, key indexes are used for replacing all-element indexes for modeling, a human system only comprises 4 indexes of settlement niches, population density, a road network and a road grade, a natural system only comprises 3 indexes of erosion sensitivity, an erosion current situation and disaster danger, the number of the indexes is small, and the indexes are easy to obtain; the second group is based on analysis of different spatial granularities, and the spatial differences of the geographic objects are disclosed with different degrees of detail. The grid is used as the minimum identification unit, the space granularity of the grid is smaller than that of the administrative unit, the disclosed space difference is more detailed, the small scale can be aggregated into the large scale, namely the result based on the grid unit can be aggregated to the administrative unit.
Claims (10)
1. The utility model provides a mountain area people-ground relation regional system space quantization model based on geographic space which characterized in that: the method comprises the following steps:
s1, calculating human activity intensity
S11, selecting indexes, namely selecting a settlement niche and a road network as basic indexes for quantifying human activity intensity;
s12 model construction
S121, establishing a settlement activity intensity model, and taking the settlement population density as a human activity intensity basic value of a settlement center grid i, namely source intensity:
Dij＝(Pi×vij/Vi)/Aij (1)
in the formula DijPopulation Density of i village j colony, PiIs the general population of village i, vij is the area of the residential site of village i and the residential site of the colony, ViThe total area of residential points of i village, and Aij is the total area of the colony of i village j;
the human activity intensity value for each grid was calculated, the model is as follows:
Iij＝M-S×lnR (2)
wherein IijThe human activity intensity of a grid point j with a distance R from a central grid i of the settlement, wherein R is the distance between the grid i and the grid j, M is the human activity intensity value of the grid i, and s is a gradient correction factor;
s122, determining the source strength of roads with different grades by adopting an expert scoring method and an analytic hierarchy process by using a traffic construction strength model, and taking the source strength as the strength value of the central point grid of the road; considering the Distance attenuation effect of the road on the radiation influence of the peripheral area and the limitation of the landform on the radiation influence, adopting an Inverse Distance Weighting (IDW) method, and carrying out spatial interpolation by taking the gradient as a limiting factor;
S123, human activity comprehensive strength model
The contribution rate of the settlement activity intensity and the traffic construction intensity to the human activity comprehensive intensity is synthesized, an expert scoring method and an analytic hierarchy process are adopted, 2 component weights are determined to be 0.7468 and 0.2532 in sequence, and the human activity comprehensive intensity based on the geographic space is calculated;
wherein I is the comprehensive strength of human activities, IiFor intensity of settlement activities and traffic construction, wiIs a weight;
s2 calculating vulnerability of natural ecosystem
S21 index selection and evaluation method
4 key factors of rainfall erosion force, topographic relief degree, vegetation coverage and soil erodibility are selected, the current situation of soil erosion is synthesized, erosion vulnerability is analyzed, on the basis, the erosion vulnerability and disaster danger are superposed, a discrimination model is constructed, and spatial quantitative evaluation of vulnerability of a natural ecological system is realized;
where 4 factors of erosion susceptibility: rainfall erosion force, topographic relief degree, soil erodibility and vegetation coverage weight values are 0.2867, 0.2987, 0.2420 and 0.1726 respectively, and the sensitivity calculation formula is as follows:
in the formula, SjSoil erosion sensitivity synthesis for grid jEvaluating the value; wiIs the weight of the factor i; cijGrid sensitivity level value of i factor j;
S22, establishing a discrimination standard, and respectively establishing an erosion sensitivity discrimination standard table, an erosion danger discrimination standard table and a natural ecosystem vulnerability discrimination standard table;
s3, calculating the coordination degree of the human-ground relationship
Dividing the human activity intensity into 4 grades by using an ARCGIS natural fracture method; performing superposition analysis on human activity intensity and natural ecological vulnerability by using a grid operation module in an ARCGIS space analysis function, dividing the human-ground relationship types into 5 types according to a discrimination model, wherein the types are respectively excessive, antagonistic, background, balanced and coordinated; wherein: the transition area is an area with high activity intensity of human and high natural ecological vulnerability; the antagonistic region is a region with higher activity intensity of human and higher natural ecological vulnerability; the background area is an area with low human activity intensity and high natural ecological vulnerability; the balance area is an area with low human activity intensity and low natural ecological vulnerability; the coordination area is an area with high human activity intensity but low vulnerability of a natural ecosystem; the main influencing factors of the human-ground relationship transition region and the antagonism region are human activities, and the main influencing factors of the background region and the balance region are natural conditions;
S4, determining the type of the human-ground relationship based on the administrative unit scale
Firstly, counting the number of grid units of different human-ground relationship types of administrative units by means of an ARCGIS region counting module; calculating area proportions of different types; thirdly, assigning values to different people-ground relation types according to an expert scoring method; the human-ground relationship depends on 'human' rather than 'ground', and the 'positive effect' of promoting the human-ground coordinated development of human activities is assigned with the highest value according to the human-ground relationship interaction thought of 'human core'; the lowest value is assigned to the 'negative action'; the influence of human activities on a regional system is not obvious, and the assignment is between the two; fourthly, calculating the human-ground relationship co-scheduling of different administrative units according to a formula, aggregating the human-ground relationship evaluation of the geographic space scale to the administrative unit scale, wherein the calculation formula is as follows:
in the formula, HLRj(ii) person-to-ground relationship geographical system co-scheduling, W, for administrative Unit jijFor administrative units j, the type area proportion of the human-ground relationship i, RiIs the score of type zone i; HLR (Home location register)jThe larger the value, the higher the degree of human-ground relationship coordination.
2. The geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the threshold value for the s-slope correction factor is determined to be 25 °.
3. The geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: and when the s-slope correction factor is larger than 25 degrees, determining the intensity value of the inverse distance weighting method to be 0.
4. The geospatially based spatial quantification model for mountain area human-ground relationship geographic systems of claim 1, wherein: the source strengths of the different grades of roads are:
5. the geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the judgment standard of the erosion sensitivity is as follows:
6. the geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the criterion of the corrosion vulnerability is as follows:
7. the geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the criterion for judging the vulnerability of the natural ecosystem comprises the following steps:
8. the geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the human activity intensity grading standard is as follows:
9. the geospatially based spatial quantification model for mountain land human-ground relationship geographical systems as claimed in claim 1, wherein: the human-ground relationship coordination degree discrimination model is as follows:
10. The geospatially based spatial quantification model for mountain area human-ground relationship geographic systems of claim 1, wherein: the human-ground relationship coordination degree is assigned as
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