A national land space planning decision support method and system based on big data analysis

Abstract

The present invention discloses a land space planning decision support method and system based on big data analysis, and relates to the technical field of big data analysis. The method comprises: collecting land space data in real time to obtain a land space data information base, extracting features from the land space data information base to obtain land space feature data information, generating a land space planning scheme and annotated example map according to the land space feature data information, obtaining a land space planning scheme evaluation according to the land space planning scheme and the annotated example map, optimizing the land space planning scheme and the annotated example map according to the land space planning scheme evaluation and the land space data collected in real time, and updating the land space planning scheme evaluation. The present invention can analyze the land space data before compiling the land space planning to provide data support for the compilation of the land space planning, and evaluate and analyze the feasibility of the land space planning after the compilation of the land space planning to provide decision support for the implementation of the land space planning scheme.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a national land space planning decision support method and system based on big data analysis. Background Art

[0002] With the development of science and technology, big data technology has played an important role in many fields. Big data can process massive, diverse and real-time changing data and extract the characteristics of the data. In the existing national land space planning, the lag in the acquisition of national land space conditions leads to inaccurate analysis of the actual situation of the national land space, which makes the compiled national land space planning insufficient. Therefore, how to provide a method to accurately analyze national land space data and compile national land space planning schemes through big data analysis technology and analyze its feasibility has become an urgent problem to be solved in this field. Summary of the invention

[0003] The present invention provides a national land space planning decision support method based on big data analysis, comprising:

[0004] Step S1, the cloud platform collects land and space data in real time through big data technology to obtain a land and space data information database;

[0005] Step S2: The cloud platform extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information;

[0006] Step S3: The cloud platform generates a national land space planning scheme and a sample map of the national land space planning scheme annotation according to the national land space characteristic data information;

[0007] Step S4: The cloud platform obtains a national land space planning scheme evaluation based on the national land space planning scheme and the national land space planning scheme annotation example map;

[0008] Step S5: The cloud platform optimizes the national land space planning scheme and the national land space planning scheme annotation example map according to the national land space planning scheme evaluation and the national land space data collected in real time, and updates the national land space planning scheme evaluation.

[0009] In the above-mentioned national land space planning decision support method based on big data analysis, the cloud platform collects national land space data in real time through big data technology, and the sub-steps of obtaining the national land space data information database are as follows:

[0010] Step S11, the cloud platform collects land space data in real time through big data technology and performs preprocessing;

[0011] Step S12: The cloud platform organizes and integrates the national land space data through data fusion technology to generate a national land space data information database.

[0012] In the above-mentioned national land space planning decision support method based on big data analysis, the cloud platform extracts features from the national land space data information database through big data analysis technology, and the sub-steps of obtaining national land space feature data information are as follows:

[0013] Step S21: The cloud platform extracts features of land resource data based on big data analysis technology to obtain land resource feature data information;

[0014] Step S22: The cloud platform extracts features of the ecological environment data based on big data analysis technology to obtain ecological environment feature data information;

[0015] Step S23: The cloud platform extracts features from the population data based on big data analysis technology to obtain population feature data information;

[0016] Step S24: The cloud platform generates national land space characteristic data information based on the land resource characteristic data information, the ecological environment characteristic data information, and the population characteristic data information.

[0017] In the above-mentioned national land space planning decision support method based on big data analysis, the cloud platform generates a national land space planning scheme and a sample map of the national land space planning scheme annotation according to the national land space characteristic data information in the following sub-steps:

[0018] Step S31, the cloud platform generates a land resource planning scheme according to the land resource characteristic data information in the national land space characteristic data information;

[0019] Step S32: the cloud platform generates an ecological environment planning scheme according to the ecological environment characteristic data information in the land space characteristic data information;

[0020] Step S33: the cloud platform generates a population planning scheme according to the population characteristic data information in the land space characteristic data information;

[0021] Step S34: The cloud platform generates a national land space planning scheme according to the land resources planning scheme, the ecological environment planning scheme, and the population planning scheme, and generates a national land space planning scheme annotated example map according to the national land space planning scheme.

[0022] In the above-mentioned national land space planning decision support method based on big data analysis, the cloud platform obtains the following sub-steps of evaluating the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation:

[0023] Step S41: The cloud platform generates an economic evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0024] Step S42: The cloud platform generates an ecological environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0025] Step S43: The cloud platform generates a human settlement environment evaluation of the national land space planning scheme according to the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0026] Step S44: The cloud platform generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, the national land space planning scheme ecological environment evaluation, and the national land space planning scheme human settlement environment evaluation.

[0027] The present invention also provides a national land space planning decision support system based on big data analysis, comprising:

[0028] The data collection and processing module collects land and space data in real time through big data technology and obtains a land and space data information database;

[0029] The data feature extraction module extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information;

[0030] A planning scheme annotated sample map generation module generates a national land space planning scheme and a national land space planning scheme annotated sample map according to national land space characteristic data information;

[0031] A planning scheme evaluation generation module obtains a national land space planning scheme evaluation based on the national land space planning scheme and the national land space planning scheme annotation sample map;

[0032] The optimization and update module optimizes the national land space planning scheme and the example map of national land space planning scheme annotation and updates the national land space planning scheme evaluation based on the national land space planning scheme evaluation and the real-time collected national land space data.

[0033] In the above-mentioned national land space planning decision support system based on big data analysis, the data collection and processing module specifically includes:

[0034] The data collection submodule collects land and space data in real time and performs preprocessing through big data technology;

[0035] The data processing submodule organizes and integrates the national land and space data through data fusion technology to generate a national land and space data information database.

[0036] In the above-mentioned national land space planning decision support system based on big data analysis, the data feature extraction module specifically includes:

[0037] The land resource characteristic data information extraction submodule extracts the characteristics of land resource data based on big data analysis technology to obtain land resource characteristic data information;

[0038] The ecological environment characteristic data information extraction submodule extracts the characteristics of the ecological environment data based on big data analysis technology to obtain ecological environment characteristic data information;

[0039] The population characteristic data information extraction submodule extracts the characteristics of population data based on big data analysis technology to obtain population characteristic data information;

[0040] The national land space characteristic data fusion submodule generates national land space characteristic data information based on land resource characteristic data information, ecological environment characteristic data information, and population characteristic data information.

[0041] In the above-mentioned national land space planning decision support system based on big data analysis, the planning scheme annotation example map generation module specifically includes:

[0042] A land resource planning scheme generation submodule generates a land resource planning scheme based on the land resource characteristic data information in the national land space characteristic data information;

[0043] The ecological environment planning scheme generation submodule generates an ecological environment planning scheme based on the ecological environment characteristic data information in the land space characteristic data information;

[0044] A population planning scheme generation submodule generates a population planning scheme based on the population characteristic data information in the land space characteristic data information;

[0045] The national land space planning scheme and the national land space planning scheme annotated example map generation submodule generate the national land space planning scheme according to the land resources planning scheme, ecological environment planning scheme and population planning scheme, and generate the national land space planning scheme annotated example map according to the national land space planning scheme.

[0046] In the above-mentioned national land space planning decision support system based on big data analysis, the planning scheme evaluation generation module specifically includes:

[0047] The submodule for generating economic evaluation of national land space planning scheme generates economic evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation;

[0048] The submodule for generating ecological environment evaluation of national land space planning scheme generates ecological environment evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation;

[0049] The submodule for generating the human settlement environment evaluation of the national land space planning scheme generates the human settlement environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0050] The national land space planning scheme evaluation fusion sub-module generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, national land space planning scheme ecological environment evaluation, and national land space planning scheme human settlement environment evaluation.

[0051] The beneficial effects achieved by the present invention are as follows: the present application can analyze the national land space data before formulating the national land space plan, provide data support for the formulation of the national land space plan, evaluate and analyze the feasibility of the national land space plan after it is formulated, and provide decision-making support for the implementation of the national land space planning scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0053] Figure 1 This is a flow chart of a land space planning decision support method based on big data analysis provided in Example 1 of the present application;

[0054] Figure 2 This is a schematic diagram of a national land space planning decision support system based on big data analysis provided in Example 2 of the present application. DETAILED DESCRIPTION

[0055] The following is a clear and complete description of the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0056] Embodiment 1

[0057] like Figure 1 As shown, the first embodiment of the present application provides a land space planning decision support method based on big data analysis, the method comprising the following steps:

[0058] Step S1, the cloud platform collects land and space data in real time through big data technology to obtain a land and space data information database;

[0059] Furthermore, the cloud platform collects land and space data in real time through big data technology, and the sub-steps of obtaining the land and space data information database are as follows:

[0060] Step S11, the cloud platform collects land space data in real time through big data technology and performs preprocessing;

[0061] Step S12: The cloud platform organizes and integrates the national land space data through data fusion technology to generate a national land space data information database;

[0062] Specifically, the national land space data information database includes basic geographic information data, land resource data, ecological environment data, population data, and economic data; among them, land resource data includes land type, area, quality, distribution and other information; ecological environment data includes soil erosion, desertification, wetland degradation and other information; population data includes total population, urbanization rate, population density and other information; economic data includes GDP, industrial output value, agricultural output value and other information.

[0063] Step S2: The cloud platform extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information;

[0064] Furthermore, the cloud platform extracts features from the national land space data information database through big data analysis technology. The sub-steps for obtaining national land space feature data information are as follows:

[0065] Step S21: The cloud platform extracts features of land resource data based on big data analysis technology to obtain land resource feature data information;

[0066] Specifically, the land resource characteristic data information includes but is not limited to the various terrain areas, utilization status, distribution, utilization efficiency of the land, the area, proportion, and utilization rate of various agricultural lands, the area, proportion, distribution, and utilization rate of various construction lands, and the area and proportion of unused land; among them, the terrain includes plateaus, mountains, hills, plains, basins, etc., agricultural land includes cultivated land, orchards, woodlands, grasslands, farmland water utilization land, etc., construction land includes residential land, commercial and service land, industrial and mining land, transportation land, etc., and unused land includes wasteland, swamps, tidal flats, etc.

[0067] Step S22: The cloud platform extracts features of the ecological environment data based on big data analysis technology to obtain ecological environment feature data information;

[0068] Specifically, the ecological environment characteristic data information includes but is not limited to atmospheric background values, rainfall pH values, soil types, soil element background values, soil quality, total water resources, available water resources, total agricultural water use, irrigation water use, surface water conditions, groundwater conditions, annual precipitation, uniformity of precipitation distribution, number of days with disastrous weather, annual wind speed, green vegetation rate, ratio of agricultural land to vegetation, and the degree of protection of landscape and tourism resources.

[0069] Step S23: The cloud platform extracts features from the population data based on big data analysis technology to obtain population feature data information;

[0070] Specifically, the population characteristic data information includes but is not limited to per capita land area, population food consumption, permanent population structure, population size, population density, population mobility, work-residence balance, aging, and declining birth rate trends.

[0071] Step S24, the cloud platform generates national land space characteristic data information according to the land resource characteristic data information, the ecological environment characteristic data information, and the population characteristic data information;

[0072] Step S3: The cloud platform generates a national land space planning scheme and a sample map of the national land space planning scheme annotation according to the national land space characteristic data information;

[0073] Furthermore, the cloud platform generates the following sub-steps for the national land space planning scheme and the national land space planning scheme annotation example map based on the national land space characteristic data information:

[0074] Step S31, the cloud platform generates a land resource planning scheme according to the land resource characteristic data information in the national land space characteristic data information;

[0075] Specifically, land resources are planned step by step according to the characteristic data information of land resources. For example, different land uses are selected according to the distribution of various terrains in the characteristic data information of land resources and their optimal utilization benefits; according to the current land utilization status, land whose current land utilization status does not conform to the use is identified and its use is re-planned; the area of ​​various agricultural lands whose utilization status conforms to the land use is counted, and their proportions, utilization rates and output value rates of the optimal utilization benefits are calculated; the utilization rates and optimal utilization benefit output values ​​of various agricultural lands after re-planning are predicted; the distribution of construction land is analyzed to obtain the orderly distribution area of ​​construction land, and its distribution order factors are analyzed, and other construction lands with unreasonable distribution are planned according to the distribution order factors and environmental factors; the use of unused land is analyzed according to its land status, and reserve land is provided for other land uses; the step-by-step planning schemes are analyzed and integrated to generate a land resource planning scheme.

[0076] Step S32: the cloud platform generates an ecological environment planning scheme according to the ecological environment characteristic data information in the land space characteristic data information;

[0077] Specifically, areas where ecological environment improvement is needed are identified based on ecological environment characteristic data information, the factors that need improvement are analyzed, and regional ecological environment planning schemes are formulated based on the factors that need improvement; for example: the air pollution in a certain area is serious, and the serious pollution factor is analyzed to be pollution caused by production emissions, so regional emission standards are formulated based on this; the regional ecological environment planning schemes are analyzed and integrated to generate an ecological environment planning scheme.

[0078] Step S33: the cloud platform generates a population planning scheme according to the population characteristic data information in the land space characteristic data information;

[0079] Specifically, population planning sub-plans are obtained based on analysis of data and information on population characteristics. For example: analyzing the population composition based on the population structure, and formulating public service facilities that meet the needs of the population; analyzing the population distribution based on the size of the permanent population and population density, and thus planning the city's spatial layout and public service facilities configuration; analyzing the population migration trend based on population mobility, and thus planning the city's resource allocation; planning the city's functional layout based on the balance between work and residence, and improving the quality of urban life; formulating a living circle that conforms to the trend of population aging and declining birthrate, and analyzing and integrating the population planning sub-plans to generate a population planning plan.

[0080] Step S34: the cloud platform generates a national land space planning scheme according to the land resources planning scheme, the ecological environment planning scheme, and the population planning scheme, and generates a national land space planning scheme annotated example map according to the national land space planning scheme;

[0081] Specifically, the land resources planning scheme, ecological environment planning scheme, and population planning scheme are analyzed and integrated to generate a national land space planning scheme. For example, the overall construction land area is calculated by the maximum and minimum population construction land areas, the minimum construction land red line and the maximum construction land red line are set, the various agricultural land reserves are set according to the population's food consumption, the minimum greening red line of land resources is set according to the requirements of ecological and environmental protection, and the natural resource development amount is set according to the ecological environment and population; a national land space map is drawn according to basic geographic information and the national land space planning scheme is annotated on the national land space map to generate a national land space planning scheme annotation example map.

[0082] Step S4: The cloud platform obtains a national land space planning scheme evaluation based on the national land space planning scheme and the national land space planning scheme annotation example map;

[0083] Furthermore, the cloud platform obtains the following sub-steps for evaluating the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation:

[0084] Step S41: The cloud platform generates an economic evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0085] Specifically, the factors affecting economic development are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the economic growth rate is calculated based on the factors affecting economic development, the impact of the national land space planning scheme on the economy is judged through the economic growth rate and the economic evaluation of the national land space planning scheme is generated.

[0086] According to the land resource planning scheme and the national land space planning scheme annotation example map, the land resource impact economic vector set TDJ = {td1, td2…td k}, where td1, td2…td k is the factor of land resources affecting the economy, k is the total number of factors affecting the economy by land resources; according to the sample map of ecological environment planning scheme and national land space planning scheme, the vector set of ecological environment affecting economy STJ = {st1, st2…st m}, where st1, st2…st m is the factor of ecological environment affecting economy, m is the total number of factors affecting economy by ecological environment; according to the example map of population planning and land space planning, we can get the population impact economy vector set RKJ = {rk1,rk2…rk n}, where rk1,rk2…rk n is the factor that population affects the economy, and n is the total number of factors that population affects the economy.

[0087] Based on the land resource impact vector set and combined with the economic data in the national land space data information database, the economic output vector set of the predicted land resource impact factors is obtained. TCL = {tc1, tc2…tc w}, where tc1, tc2…tc w is to predict the economic output of land resource influencing factors, w is the number of economic outputs of land resource influencing factors; based on the ecological environment impact vector set and combined with the economic data in the land space data information database, the predicted ecological environment impact factor economic output vector set SJL = {sj1, sj2…sj t}, where sj1, sj2…sj t is to predict the economic output of the factors affecting the ecological environment, t is the number of economic outputs of the factors affecting the ecological environment; based on the population impact vector set and combined with the economic data in the national land space data information database, the predicted population impact factor economic output vector set RLL = {rl1, rl2…rl j}, where rl1, rl2…rl j is the economic output of the predicted population influencing factors, and j is the number of economic outputs of the predicted population influencing factors.

[0088] Generate the economic output vector set of land resource influencing factors before planning XTCL={tcq1, tcq2…tcq r}、Economic output vector set of factors affecting ecological environment before planning XSJL = {sjq1, sjq2…sjq v}、The economic output vector set of population influencing factors before planning XRLL={rlq1,rlq2…rlq u}, where tcq1, tcq2…tcq r is the economic output of the factors affecting land resources before planning, r is the number of economic outputs of the factors affecting land resources before planning, sjq1, sjq2…sjq v is the economic output of the factors affecting the ecological environment before planning, v is the number of economic outputs of the factors affecting the ecological environment before planning, rlq1, rlq2…rlq u is the economic output of the population influencing factors before planning, and u is the number of economic outputs of the population influencing factors before planning.

[0089] Furthermore, the economic growth rate expression is as follows:

[0090]

[0091] Specifically, if the economic growth rate JZL is negative, then this national land space planning scheme is not conducive to economic development. The national land space planning scheme is analyzed according to each vector set to obtain the factors affecting economic growth; if the economic growth rate JZL is positive, then this national land space planning scheme is conducive to economic growth. The larger the value, the more conducive the national land space planning scheme is to economic growth.

[0092] Step S42: The cloud platform generates an ecological environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0093] Specifically, the factors affecting the ecological environment are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the ecological environment carrying rate is calculated based on the factors affecting the ecological environment, and the development of biodiversity, changes in resource utilization, climate change and other ecological environments affected by the plan are predicted based on the ecological environment carrying rate. The predicted results are compared with those before planning to determine whether the planning scheme is beneficial to the ecological environment, and to generate an ecological environment evaluation of the national land space planning scheme.

[0094] Specifically, according to the national land space planning scheme and the example map of the national land space planning scheme annotation, the predicted pollutant vector set WRX = {(wr1, hr1, mg1, hj1), (wr2, hr2, mg2, hj2)…(wr n ,hr n ,mg n,hj n )}、Prediction of natural resource development vector set ZRD={(zr1,zy1),(zr2,zy2)…(zr m ,zy m )}, where wr1, wr2…wr n is the emission of different emissions, hr1, hr2…hr n is the maximum ecological environment capacity of different emissions, mg1, mg2…mg n is the ecological sensitivity of different emissions, hj1,hj2…hj n is the self-purification degree of the ecological environment of different emissions, n is the number of types of different emissions, zr1,zr2…zr m For the degree of development of different natural resources, zy1,zy2…zy m The impact of different natural resource development on ecology, hh1,hh2…hh m is the ecological self-recovery degree of different natural resource development, m is the number of different natural resource types, and the ecological environment tolerance is calculated based on the predicted pollutant vector set WRX and the predicted natural resource development degree vector set ZRD.

[0095] Furthermore, the ecological environment bearing rate is expressed as follows:

[0096]

[0097] Specifically, The tolerance of the ecological environment to pollutants. is the tolerance of the ecological environment to the development of natural resources, and std is the maximum tolerance of the ecological environment.

[0098] Step S43: The cloud platform generates a human settlement environment evaluation of the national land space planning scheme according to the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0099] Specifically, the factors affecting the human living environment are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the human living suitability is calculated and predicted based on the factors affecting the human living environment, the impact of the national land planning scheme on the human living environment is judged by the human living suitability and the human living environment evaluation of the national land space planning scheme is generated.

[0100] According to the national land space planning scheme and the sample map of the national land space planning scheme, the suitability vector set of factors affecting the human settlement environment by terrain is obtained DX = {dx1, dx2…dx z}、The suitability vector set of climate factors affecting human settlement environment QH={qh1,qh2……qh x}、The suitability vector set of factors affecting the living environment by the ecological environment ST = {st1,st2…st c}、The suitability vector set of factors affecting human settlement environment by infrastructure JS={js1,js2…js v}, where dx1, dx2…dx z The factors that affect the suitability of human settlements are: qh1, qh2…qh x Different factors that affect the suitability of human living environment, st1, st2…st c Different factors that affect the suitability of human living environment due to ecological environment, js1, js2…js v are the different factors that infrastructure affects the suitability of the human living environment, z is the number of factors that terrain affects the suitability of the human living environment, x is the number of factors that ecological environment affects the suitability of the human living environment, c is the number of factors that ecological environment affects the suitability of the human living environment, and v is the number of factors that infrastructure affects the suitability of the human living environment. According to the different degrees of influence on the human living environment, the weights of different factors affecting the human living environment are obtained, and the human living suitability is predicted based on each vector set and its weight calculation.

[0101] Furthermore, the expression for predicting human settlement suitability is as follows:

[0102]

[0103] Among them, dxq is the weight of the factors affecting the human living environment due to terrain, qhq is the weight of the factors affecting the human living environment due to climate, stq is the weight of the factors affecting the human living environment due to ecological environment, and sjq is the weight of the factors affecting the human living environment due to infrastructure.

[0104] Step S44: The cloud platform generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, the national land space planning scheme ecological environment evaluation, and the national land space planning scheme human settlement environment evaluation;

[0105] Specifically, the comprehensive score of the national land space planning scheme is calculated based on the economic evaluation, ecological environment evaluation, and human settlement environment evaluation of the national land space planning scheme; the national land space planning scheme evaluation is generated based on the comprehensive score of the national land space planning scheme and the economic evaluation, ecological environment evaluation, and human settlement environment evaluation of the national land space planning scheme.

[0106] According to the economic evaluation of the national land space planning scheme, the ecological environment evaluation of the national land space planning scheme and the human settlement environment evaluation of the national land space planning scheme, combined with the predicted planning results and regional characteristics, the national land space planning scheme economic evaluation score vector set JJP = {jp1, jp2…jp n}、The ecological environment evaluation score vector set of national land space planning scheme STP={sp1,sp2…sp m} and the human settlement environment evaluation score vector set of national land space planning scheme RJP = {rp1, rp2…rp k}, where jp1, jp2…jp n Score different economic fields, n is the number of economic fields, sp1, sp2…sp m is the ecological environment score of different regions, m is the number of ecological environment regions, rp1, rp2…rp k Score the human settlement environment of different areas, k is the number of human settlement areas; obtain the weights according to the different importance of the evaluation, and calculate the comprehensive score of the national land space planning scheme based on the scores and weights.

[0107] Furthermore, the comprehensive scoring expression of the national land space planning scheme is as follows:

[0108]

[0109] Among them, jjpq is the economic evaluation weight of the national land space planning scheme, stpq is the ecological environmental evaluation weight of the national land space planning scheme, and rjpq is the human living environment evaluation weight of the national land space planning scheme.

[0110] Step S5: The cloud platform optimizes the national land space planning scheme and the national land space planning scheme annotation example map according to the national land space planning scheme evaluation and the national land space data collected in real time, and updates the national land space planning scheme evaluation;

[0111] Specifically, the national land space planning scheme is evaluated to determine whether it meets the national sustainable development requirements. The sustainable development requirements include but are not limited to national strategic requirements, focusing on regional coordinated development, ensuring ecological security, protecting resources, and improving urban functions and residents' quality of life. If it does not meet the national sustainable development requirements, the national land space planning scheme is evaluated and analyzed according to the national land space planning scheme, and the unreasonable planning schemes of the national land space planning scheme are obtained, and the unreasonable planning schemes of the national land space planning scheme are optimized according to the national sustainable development requirements and the characteristics of the land area; the land space data is collected and updated in real time through big data technology, the updated data of the land space data is identified, and the land space planning scheme and the land space planning scheme annotation example map are optimized according to the updated land space data; the land space planning scheme evaluation is updated according to the optimized land space planning scheme and the land space planning scheme annotation example map, so as to provide decision support for the land space planning.

[0112] Embodiment 2

[0113] like Figure 2 As shown, Embodiment 2 of the present application provides a national land space planning decision support system based on big data analysis, including:

[0114] The data collection and processing module 21 collects land and space data in real time through big data technology to obtain a land and space data information database;

[0115] Furthermore, the data acquisition and processing module 21 includes the following submodules:

[0116] The data collection submodule collects land and space data in real time and performs preprocessing through big data technology;

[0117] The data processing submodule organizes and integrates the national land and space data through data fusion technology to generate a national land and space data information database;

[0118] Specifically, the national land space data information database includes basic geographic information data, land resource data, ecological environment data, population data, and economic data; among them, land resource data includes land type, area, quality, distribution and other information; ecological environment data includes soil erosion, desertification, wetland degradation and other information; population data includes total population, urbanization rate, population density and other information; economic data includes GDP, industrial output value, agricultural output value and other information.

[0119] The data feature extraction module 22 extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information;

[0120] Furthermore, the data feature extraction module 22 includes the following submodules:

[0121] The land resource characteristic data information extraction submodule extracts the characteristics of land resource data based on big data analysis technology to obtain land resource characteristic data information;

[0122] Specifically, the land resource characteristic data information includes but is not limited to the various terrain areas, utilization status, distribution, utilization efficiency of the land, the area, proportion, and utilization rate of various agricultural lands, the area, proportion, distribution, and utilization rate of various construction lands, and the area and proportion of unused land; among them, the terrain includes plateaus, mountains, hills, plains, basins, etc., agricultural land includes cultivated land, orchards, woodlands, grasslands, farmland water utilization land, etc., construction land includes residential land, commercial and service land, industrial and mining land, transportation land, etc., and unused land includes wasteland, swamps, tidal flats, etc.

[0123] The ecological environment characteristic data information extraction submodule extracts the characteristics of the ecological environment data based on big data analysis technology to obtain ecological environment characteristic data information;

[0124] Specifically, the ecological environment characteristic data information includes but is not limited to atmospheric background values, rainfall pH values, soil types, soil element background values, soil quality, total water resources, available water resources, total agricultural water use, irrigation water use, surface water conditions, groundwater conditions, annual precipitation, uniformity of precipitation distribution, number of days with disastrous weather, annual wind speed, green vegetation rate, ratio of agricultural land to vegetation, and the degree of protection of landscape and tourism resources.

[0125] The population characteristic data information extraction submodule extracts the characteristics of population data based on big data analysis technology to obtain population characteristic data information;

[0126] Specifically, the population characteristic data information includes but is not limited to per capita land area, population food consumption, permanent population structure, population size, population density, population mobility, work-residence balance, aging, and declining birth rate trends.

[0127] The national land space characteristic data fusion submodule generates national land space characteristic data information based on land resource characteristic data information, ecological environment characteristic data information, and population characteristic data information;

[0128] A planning scheme annotated sample map generating module 23 generates a national land space planning scheme and a national land space planning scheme annotated sample map according to the national land space characteristic data information;

[0129] Furthermore, the planning scheme annotated example diagram generation module 23 includes the following submodules:

[0130] A land resource planning scheme generation submodule generates a land resource planning scheme based on the land resource characteristic data information in the national land space characteristic data information;

[0131] Specifically, land resources are planned step by step according to the characteristic data information of land resources. For example, different land uses are selected according to the distribution of various terrains in the characteristic data information of land resources and their optimal utilization benefits; according to the current land utilization status, land whose current land utilization status does not conform to the use is identified and its use is re-planned; the area of ​​various agricultural lands whose utilization status conforms to the land use is counted, and their proportions, utilization rates and output value rates of the optimal utilization benefits are calculated; the utilization rates and optimal utilization benefit output values ​​of various agricultural lands after re-planning are predicted; the distribution of construction land is analyzed to obtain the orderly distribution area of ​​construction land, and its distribution order factors are analyzed, and other construction lands with unreasonable distribution are planned according to the distribution order factors and environmental factors; the use of unused land is analyzed according to its land status, and reserve land is provided for other land uses; the step-by-step planning schemes are analyzed and integrated to generate a land resource planning scheme.

[0132] The ecological environment planning scheme generation submodule generates an ecological environment planning scheme based on the ecological environment characteristic data information in the land space characteristic data information;

[0133] Specifically, areas where ecological environment improvement is needed are identified based on ecological environment characteristic data information, the factors that need improvement are analyzed, and regional ecological environment planning schemes are formulated based on the factors that need improvement; for example: the air pollution in a certain area is serious, and the serious pollution factor is analyzed to be pollution caused by production emissions, so regional emission standards are formulated based on this; the regional ecological environment planning schemes are analyzed and integrated to generate an ecological environment planning scheme.

[0134] A population planning scheme generation submodule generates a population planning scheme based on the population characteristic data information in the land space characteristic data information;

[0135] Specifically, population planning sub-plans are obtained based on analysis of data and information on population characteristics. For example: analyzing the population composition based on the population structure, and formulating public service facilities that meet the needs of the population; analyzing the population distribution based on the size of the permanent population and population density, and thus planning the city's spatial layout and public service facilities configuration; analyzing the population migration trend based on population mobility, and thus planning the city's resource allocation; planning the city's functional layout based on the balance between work and residence, and improving the quality of urban life; formulating a living circle that conforms to the trend of population aging and declining birthrate, and analyzing and integrating the population planning sub-plans to generate a population planning plan.

[0136] The national land space planning scheme is a submodule for generating a sample map of the national land space planning scheme annotation, which generates a national land space planning scheme according to the land resources planning scheme, the ecological environment planning scheme, and the population planning scheme, and generates a sample map of the national land space planning scheme annotation according to the national land space planning scheme;

[0137] Specifically, the land resources planning scheme, ecological environment planning scheme, and population planning scheme are analyzed and integrated to generate a national land space planning scheme. For example, the overall construction land area is calculated by the maximum and minimum population construction land areas, the minimum construction land red line and the maximum construction land red line are set, the various agricultural land reserves are set according to the population's food consumption, the minimum greening red line of land resources is set according to the requirements of ecological and environmental protection, and the natural resource development amount is set according to the ecological environment and population; a national land space map is drawn according to basic geographic information and the national land space planning scheme is annotated on the national land space map to generate a national land space planning scheme annotation example map.

[0138] A planning scheme evaluation generation module 24 obtains a national land space planning scheme evaluation according to the national land space planning scheme and the national land space planning scheme annotated sample map;

[0139] Furthermore, the planning scheme evaluation generation module 24 includes the following submodules:

[0140] The submodule for generating economic evaluation of national land space planning scheme generates economic evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation;

[0141] Specifically, the factors affecting economic development are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the economic growth rate is calculated based on the factors affecting economic development, the impact of the national land space planning scheme on the economy is judged through the economic growth rate and the economic evaluation of the national land space planning scheme is generated.

[0142] According to the land resource planning scheme and the national land space planning scheme annotation example map, the land resource impact economic vector set TDJ = {td1, td2…td k}, where td1, td2…td k is the factor of land resources affecting the economy, k is the total number of factors affecting the economy by land resources; according to the sample map of ecological environment planning scheme and national land space planning scheme, the vector set of ecological environment affecting economy STJ = {st1, st2…st m}, where st1, st2…st m is the factor of ecological environment affecting economy, m is the total number of factors affecting economy by ecological environment; according to the example map of population planning and land space planning, we can get the population impact economy vector set RKJ = {rk1,rk2…rk n}, where rk1,rk2…rk n is the factor that population affects the economy, and n is the total number of factors that population affects the economy.

[0143] Based on the land resource impact vector set and combined with the economic data in the national land space data information database, the economic output vector set of the predicted land resource impact factors is obtained. TCL = {tc1, tc2…tc w}, where tc1, tc2…tc w is to predict the economic output of land resource influencing factors, w is the number of economic outputs of land resource influencing factors; based on the ecological environment impact vector set and combined with the economic data in the land space data information database, the predicted ecological environment impact factor economic output vector set SJL = {sj1, sj2…sj t}, where sj1, sj2…sj t is to predict the economic output of the factors affecting the ecological environment, t is the number of economic outputs of the factors affecting the ecological environment; based on the population impact vector set and combined with the economic data in the national land space data information database, the predicted population impact factor economic output vector set RLL = {rl1, rl2…rl j}, where rl1, rl2…rl jis the economic output of the predicted population influencing factors, and j is the number of economic outputs of the predicted population influencing factors.

[0144] Generate the economic output vector set of land resource influencing factors before planning XTCL={tcq1, tcq2…tcq r}、Economic output vector set of factors affecting ecological environment before planning XSJL = {sjq1, sjq2…sjq v}、The economic output vector set of population influencing factors before planning XRLL={rlq1,rlq2…rlq u}, where tcq1, tcq2…tcq r is the economic output of the factors affecting land resources before planning, r is the number of economic outputs of the factors affecting land resources before planning, sjq1, sjq2…sjq v is the economic output of the factors affecting the ecological environment before planning, v is the number of economic outputs of the factors affecting the ecological environment before planning, rlq1, rlq2…rlq u is the economic output of the population influencing factors before planning, and u is the number of economic outputs of the population influencing factors before planning.

[0145] Furthermore, the economic growth rate expression is as follows:

[0146]

[0147] Specifically, if the economic growth rate JZL is negative, then this national land space planning scheme is not conducive to economic development. The national land space planning scheme is analyzed according to each vector set to obtain the factors affecting economic growth; if the economic growth rate JZL is positive, then this national land space planning scheme is conducive to economic growth. The larger the value, the more conducive the national land space planning scheme is to economic growth.

[0148] The submodule for generating ecological environment evaluation of national land space planning scheme generates ecological environment evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation;

[0149] Specifically, the factors affecting the ecological environment are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the ecological environment carrying rate is calculated based on the factors affecting the ecological environment, and the development of biodiversity, changes in resource utilization, climate change and other ecological environments affected by the plan are predicted based on the ecological environment carrying rate. The predicted results are compared with those before planning to determine whether the planning scheme is beneficial to the ecological environment, and to generate an ecological environment evaluation of the national land space planning scheme.

[0150] Specifically, according to the national land space planning scheme and the example map of the national land space planning scheme annotation, the predicted pollutant vector set WRX = {(wr1, hr1, mg1, hj1), (wr2, hr2, mg2, hj2)…(wr n ,hr n ,mg n ,hj n )}、Prediction of natural resource development vector set ZRD={(zr1,zy1),(zr2,zy2)…(zr m ,zy m )}, where wr1, wr2…wr n is the emission of different emissions, hr1, hr2…hr n is the maximum ecological environment capacity of different emissions, mg1, mg2…mg n is the ecological sensitivity of different emissions, hj1,hj2…hj n is the self-purification degree of the ecological environment of different emissions, n is the number of types of different emissions, zr1,zr2…zr m For the degree of development of different natural resources, zy1,zy2…zy m The impact of different natural resource development on ecology, hh1,hh2…hh m is the ecological self-recovery degree of different natural resource development, m is the number of different natural resource types, and the ecological environment tolerance is calculated based on the predicted pollutant vector set WRX and the predicted natural resource development degree vector set ZRD.

[0151] Furthermore, the ecological environment bearing rate is expressed as follows:

[0152]

[0153] Specifically, The tolerance of the ecological environment to pollutants. is the tolerance of the ecological environment to the development of natural resources, and std is the maximum tolerance of the ecological environment.

[0154] The submodule for generating the human settlement environment evaluation of the national land space planning scheme generates the human settlement environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation;

[0155] Specifically, the factors affecting the human living environment are obtained through the national land space planning scheme and the example map of the national land space planning scheme annotation, the human living suitability is calculated and predicted based on the factors affecting the human living environment, the impact of the national land planning scheme on the human living environment is judged by the human living suitability and the human living environment evaluation of the national land space planning scheme is generated.

[0156] According to the national land space planning scheme and the sample map of the national land space planning scheme, the suitability vector set of factors affecting the human settlement environment by terrain is obtained DX = {dx1, dx2…dx z}、The suitability vector set of climate factors affecting human settlement environment QH={qh1,qh2…qh x}、The suitability vector set of factors affecting the living environment by the ecological environment ST = {st1,st2…st c}、The suitability vector set of factors affecting human settlement environment by infrastructure JS={js1,js2…js v}, where dx1, dx2…dx z The factors that affect the suitability of human settlements are: qh1, qh2…qh x Different factors that affect the suitability of human living environment, st1, st2…st c Different factors that affect the suitability of human living environment due to ecological environment, js1, js2…js v are the different factors that infrastructure affects the suitability of the human living environment, z is the number of factors that terrain affects the suitability of the human living environment, x is the number of factors that ecological environment affects the suitability of the human living environment, c is the number of factors that ecological environment affects the suitability of the human living environment, and v is the number of factors that infrastructure affects the suitability of the human living environment. According to the different degrees of influence on the human living environment, the weights of different factors affecting the human living environment are obtained, and the human living suitability is predicted based on each vector set and its weight calculation.

[0157] Furthermore, the expression for predicting human settlement suitability is as follows:

[0158]

[0159] Among them, dxq is the weight of the factors affecting the human living environment due to terrain, qhq is the weight of the factors affecting the human living environment due to climate, stq is the weight of the factors affecting the human living environment due to ecological environment, and sjq is the weight of the factors affecting the human living environment due to infrastructure.

[0160] The national land space planning scheme evaluation fusion submodule generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, national land space planning scheme ecological environment evaluation, and national land space planning scheme human settlement environment evaluation;

[0161] Specifically, the comprehensive score of the national land space planning scheme is calculated based on the economic evaluation, ecological environment evaluation, and human settlement environment evaluation of the national land space planning scheme; the national land space planning scheme evaluation is generated based on the comprehensive score of the national land space planning scheme and the economic evaluation, ecological environment evaluation, and human settlement environment evaluation of the national land space planning scheme.

[0162] According to the economic evaluation of the national land space planning scheme, the ecological environment evaluation of the national land space planning scheme and the human settlement environment evaluation of the national land space planning scheme, combined with the predicted planning results and regional characteristics, the national land space planning scheme economic evaluation score vector set JJP = {jp1, jp2…jp n}、The ecological environment evaluation score vector set of national land space planning scheme STP={sp1,sp2…sp m} and the human settlement environment evaluation score vector set of national land space planning scheme RJP = {rp1, rp2…rp k}, where jp1, jp2…jp n Score different economic fields, n is the number of economic fields, sp1, sp2…sp m is the ecological environment score of different regions, m is the number of ecological environment regions, rp1, rp2…rp k Score the human settlement environment of different areas, k is the number of human settlement areas; obtain the weights according to the different importance of the evaluation, and calculate the comprehensive score of the national land space planning scheme based on the scores and weights.

[0163] Furthermore, the comprehensive scoring expression of the national land space planning scheme is as follows:

[0164]

[0165] Among them, jjpq is the economic evaluation weight of the national land space planning scheme, stpq is the ecological environmental evaluation weight of the national land space planning scheme, and rjpq is the human living environment evaluation weight of the national land space planning scheme.

[0166] The optimization and updating module 25 optimizes the national land space planning scheme and the national land space planning scheme annotation example map and updates the national land space planning scheme evaluation according to the national land space planning scheme evaluation and the national land space data collected in real time;

[0167] Specifically, the national land space planning scheme is evaluated to determine whether it meets the national sustainable development requirements. The sustainable development requirements include but are not limited to national strategic requirements, focusing on regional coordinated development, ensuring ecological security, protecting resources, and improving urban functions and residents' quality of life. If it does not meet the national sustainable development requirements, the national land space planning scheme is evaluated and analyzed according to the national land space planning scheme, and the unreasonable planning schemes of the national land space planning scheme are obtained, and the unreasonable planning schemes of the national land space planning scheme are optimized according to the national sustainable development requirements and the characteristics of the land area; the land space data is collected and updated in real time through big data technology, the updated data of the land space data is identified, and the land space planning scheme and the land space planning scheme annotation example map are optimized according to the updated land space data; the land space planning scheme evaluation is updated according to the optimized land space planning scheme and the land space planning scheme annotation example map, so as to provide decision support for the land space planning.

[0168] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. A national land space planning decision support method based on big data analysis, characterized in that: include: Step S1, the cloud platform collects land and space data in real time through big data technology to obtain a land and space data information database; Step S2: The cloud platform extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information; Step S3: The cloud platform generates a national land space planning scheme and a sample map of the national land space planning scheme annotation according to the national land space characteristic data information; Step S4: The cloud platform obtains a national land space planning scheme evaluation based on the national land space planning scheme and the national land space planning scheme annotation example map; Step S5: The cloud platform optimizes the national land space planning scheme and the national land space planning scheme annotation example map according to the national land space planning scheme evaluation and the national land space data collected in real time, and updates the national land space planning scheme evaluation.

2. A national land space planning decision support method based on big data analysis as claimed in claim 1, characterized in that: The cloud platform collects land and space data in real time through big data technology. The sub-steps of obtaining the land and space data information database are as follows: Step S11, the cloud platform collects land space data in real time through big data technology and performs preprocessing; Step S12: The cloud platform organizes and integrates the national land space data through data fusion technology to generate a national land space data information database.

3. The national land space planning decision support method based on big data analysis as claimed in claim 1, characterized in that: The cloud platform uses big data analysis technology to extract features from the national land space data information database. The sub-steps for obtaining national land space feature data information are as follows: Step S21: The cloud platform extracts features of land resource data based on big data analysis technology to obtain land resource feature data information; Step S22: The cloud platform extracts features of the ecological environment data based on big data analysis technology to obtain ecological environment feature data information; Step S23: The cloud platform extracts features from the population data based on big data analysis technology to obtain population feature data information; Step S24: The cloud platform generates national land space characteristic data information based on the land resource characteristic data information, the ecological environment characteristic data information, and the population characteristic data information.

4. The national land space planning decision support method based on big data analysis as claimed in claim 1, characterized in that: The sub-steps for the cloud platform to generate a national land space planning scheme and a sample map of the national land space planning scheme annotation based on the national land space characteristic data information are as follows: Step S31, the cloud platform generates a land resource planning scheme according to the land resource characteristic data information in the national land space characteristic data information; Step S32: the cloud platform generates an ecological environment planning scheme according to the ecological environment characteristic data information in the land space characteristic data information; Step S33: the cloud platform generates a population planning scheme according to the population characteristic data information in the land space characteristic data information; Step S34: The cloud platform generates a national land space planning scheme according to the land resources planning scheme, the ecological environment planning scheme, and the population planning scheme, and generates a national land space planning scheme annotated example map according to the national land space planning scheme.

5. The national land space planning decision support method based on big data analysis as claimed in claim 1, characterized in that: The cloud platform obtains the following sub-steps for evaluating the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation: Step S41: The cloud platform generates an economic evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation; Step S42: The cloud platform generates an ecological environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation; Step S43: The cloud platform generates a human settlement environment evaluation of the national land space planning scheme according to the national land space planning scheme and the sample map of the national land space planning scheme annotation; Step S44: The cloud platform generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, the national land space planning scheme ecological environment evaluation, and the national land space planning scheme human settlement environment evaluation.

6. A national land space planning decision support system based on big data analysis, characterized in that: include: The data collection and processing module collects land and space data in real time through big data technology and obtains a land and space data information database; The data feature extraction module extracts features from the national land space data information database through big data analysis technology to obtain national land space feature data information; A planning scheme annotated sample map generation module generates a national land space planning scheme and a national land space planning scheme annotated sample map according to national land space characteristic data information; A planning scheme evaluation generation module obtains a national land space planning scheme evaluation based on the national land space planning scheme and the national land space planning scheme annotation sample map; The optimization and update module optimizes the national land space planning scheme and the example map of national land space planning scheme annotation and updates the national land space planning scheme evaluation based on the national land space planning scheme evaluation and the real-time collected national land space data.

7. A national land space planning decision support system based on big data analysis as claimed in claim 6, characterized in that: Data acquisition and processing module, specifically including: The data collection submodule collects land and space data in real time and performs preprocessing through big data technology; The data processing submodule organizes and integrates the national land and space data through data fusion technology to generate a national land and space data information database.

8. The national land space planning decision support system based on big data analysis as claimed in claim 6, characterized in that: Data feature extraction module, specifically including: The land resource characteristic data information extraction submodule extracts the characteristics of land resource data based on big data analysis technology to obtain land resource characteristic data information; The ecological environment characteristic data information extraction submodule extracts the characteristics of the ecological environment data based on big data analysis technology to obtain ecological environment characteristic data information; The population characteristic data information extraction submodule extracts the characteristics of population data based on big data analysis technology to obtain population characteristic data information; The national land space characteristic data fusion submodule generates national land space characteristic data information based on land resource characteristic data information, ecological environment characteristic data information, and population characteristic data information.

9. The national land space planning decision support system based on big data analysis as claimed in claim 6, characterized in that: The planning scheme annotation example diagram generation module specifically includes: A land resource planning scheme generation submodule generates a land resource planning scheme based on the land resource characteristic data information in the national land space characteristic data information; The ecological environment planning scheme generation submodule generates an ecological environment planning scheme based on the ecological environment characteristic data information in the land space characteristic data information; A population planning scheme generation submodule generates a population planning scheme based on the population characteristic data information in the land space characteristic data information; The national land space planning scheme and the national land space planning scheme annotated example map generation submodule generate the national land space planning scheme according to the land resources planning scheme, ecological environment planning scheme and population planning scheme, and generate the national land space planning scheme annotated example map according to the national land space planning scheme.

10. The national land space planning decision support system based on big data analysis according to claim 6, characterized in that: Planning scheme evaluation generation module, specifically including: The submodule for generating economic evaluation of national land space planning scheme generates economic evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation; The submodule for generating ecological environment evaluation of national land space planning scheme generates ecological environment evaluation of national land space planning scheme based on the national land space planning scheme and the sample map of national land space planning scheme annotation; The submodule for generating the human settlement environment evaluation of the national land space planning scheme generates the human settlement environment evaluation of the national land space planning scheme based on the national land space planning scheme and the sample map of the national land space planning scheme annotation; The national land space planning scheme evaluation fusion sub-module generates a national land space planning scheme evaluation based on the national land space planning scheme economic evaluation, national land space planning scheme ecological environment evaluation, and national land space planning scheme human settlement environment evaluation.

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