CN108764613A - A kind of Land Use Transition coupling degree evaluation visualization system - Google Patents
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Abstract
The present invention provides a kind of Land Use Transition coupling degree evaluation visualization system, including：Database, for storing objective area land use initial data；State parameter selects module, for calculating grey relational grade and selecting out the maximum four classes index of grey relational grade in each subsystem as state parameter；Coevolution analog module, for being speeded domain coefficient according to the calculating of the achievement data of state parameter, six class state parameters of the domain coefficient absolute value minimum that selects to speed are as S order parameter；Development index computing module obtains each annual development index pace of change of subsystem for calculating development index by the achievement data of S order parameter according to time fitting；Coordinate type decision module, for judging objective area system coordination type.Beneficial effects of the present invention：The development speed and integrated system coupling degree of three subsystems are calculated, and type is coordinated to coupling and carries out classification judgement, identifies and evades the various risks being likely encountered in soil transformation process.
Description
Technical field
The present invention relates to Land Resources Management technical fields more particularly to a kind of Land Use Transition coupling degree to evaluate
Visualization system.
Background technology
Land Use Transition, i.e., under the driving of socioeconomic changes and innovation, a certain region is within one period by one
Kind land using effect is changed into the process of another land using effect, and soil is a complete system, land use shape
The change of state is often by the variation of the conditions such as population, economy, technology and people to Land Use System, social production life side
The many factors such as influence codetermine caused by formula.The transition result of land use can lead to regional economy, society, an ecology
Three aspects generate different degrees of variation.With the increasing of Land Use Transition speed and amplitude, the reality being thus led to is rushed
Prominent and potential risks are increasingly prominent, it is therefore desirable to carry out the coupling coordination degree of the economy in region, society, ecology synthesis system
Research, the development type of analyzed area integrated system, the basic basis as Land Use Transition risk assessment.
However, in the prior art, not yet occurring with Land Use Transition being to be oriented to the economy in region, society, ecology
The visualization system that integrated system coupling degree is evaluated is imitated so as to cause analyzing the effect tendency of Land Use Transition
Rate is relatively low, cannot meet the forecast demand of wide to range, the evaluation of factor multi-risk System Land Use Transition risk, to land use
The risk assessment work of transition has strong influence.
Invention content
In view of this, the embodiment provides a kind of Land Use Transition coupling degrees to evaluate visualization system
System.
The embodiment of the present invention provides a kind of Land Use Transition coupling degree evaluation visualization system, including：
Database, for storing objective area initial data, the initial data includes all kinds of land use patterns of q
Area data and this q ecology, society and all kinds of achievement datas of economic three subsystems, wherein q >=2 and be integer；
State parameter selects module, for the land use pattern and coupling degree index system original in reading database
Beginning data calculate each year land use structure entropy according to area data, are calculated according to grey relational grade formula each
The grey relational grade of every the class index and land use structure entropy of year three subsystems, selects out grey correlation in each subsystem
Maximum four classes index is spent as state parameter；
Coevolution analog module, by established according to the achievement data per class state parameter q synergetics equation and based on
The domain coefficient of speeding per class state parameter is calculated, six class state parameters of the domain coefficient absolute value minimum that selects to speed are as S order parameter and guarantee
Each subsystem at least has a S order parameter；
Development index computing module, each year achievement data for each S order parameter by each subsystem is according to development index
Equation calculation goes out the development index of each subsystem, and each subsystem development index change curve is fitted according to the time, obtains every
A annual development index pace of change of subsystem；
Coordinate type decision module, for compareing Evolution States classification chart according to three subsystems development index pace of change
Judge objective area system coordination type.
Further, the system also includes coupling degree computing modules, for being referred to according to the development of three subsystems
Number calculates Land Use Transition by coupling degree formula and integrates coupling degree.
Further, interval of the arbitrary neighborhood between 2 years is equal in the q.
Further, the coevolution analog module carries out nondimensionalization to the achievement data in every class state parameter each year
Synergetics equation is established after adding up with single order.
Further, the method that the coevolution analog module determines S order parameter is to join in the state of each subsystem
The S order parameter as system evaluation of a domain coefficient absolute value minimum of speeding is filtered out in amount, and by being left shape in three systems
The S order parameter as system evaluation of three domain coefficient absolute value minimums of speeding is filtered out in state property again.
Further, the development index computing module is using ideal value method annual to each subsystem institute order parameter
Development index equation is brought into after achievement data standardization, calculates the annual development index of each subsystem.
Further, the development index computing module is fitted the hair in each subsystem each year using fitting of a polynomial tool
Index is opened up, the development index pace of change in each subsystem each year is obtained to matched curve derivation.
Further, the coordination type decision module is rendered and is shown objective area system coordination using polar plot
Type.
The advantageous effect brought of technical solution that the embodiment of the present invention provides is：A kind of Land Use Transition coupling of the present invention
Close original land use data and objective area economy, society, life of the coordination degree evaluation visualization system according to objective area
The relevant achievement data of state accurately calculates the development speed of objective area economy, ecology and social three subsystems, and to comprehensive
The coupling of collaboration system coordinates type and carries out classification judgement, identifies rapidly and evades the various wind being likely encountered in soil transformation process
Danger prevents the resolution for the ecology, economy and social beneficial effect that Land Use Transition brings, has to Land Use Transition clear
Directive function.
Description of the drawings
Fig. 1 is a kind of schematic diagram of Land Use Transition coupling degree evaluation visualization system of the present invention；
Fig. 2 is a kind of Land Use Transition coupling degree evaluation visualization system present landuse map displaying of the present invention
Interface；
Fig. 3 is a kind of Land Use Transition coupling degree evaluation visualization system coupling degree evaluation index of the present invention
System shows interface；
Fig. 4 is that a kind of Land Use Transition coupling degree evaluation visualization system state parameter selection module of the present invention is read
Take initial data interface；
Fig. 5 is that a kind of Land Use Transition coupling degree evaluation visualization system state parameter selection module of the present invention is true
Determine state parameter interface；
Fig. 6 is at a kind of Land Use Transition coupling degree evaluation visualization system coevolution module data of the present invention
Manage interface；
Fig. 7 is a kind of Land Use Transition coupling degree evaluation visualization system coevolution module cooperative of the present invention
Equation builds interface；
Fig. 8 is a kind of Land Use Transition coupling degree evaluation visualization system coevolution module S order parameter of the present invention
Screen interface；
Fig. 9 is a kind of Land Use Transition coupling degree evaluation visualization system development index computing module hair of the present invention
It opens up index and calculates result figure table displaying interface；
Figure 10 is a kind of Land Use Transition coupling degree evaluation visualization system development index computing module of the present invention
Development index result of calculation polar plot shows interface；
Figure 11 is that a kind of Land Use Transition coupling degree evaluation visualization system of the present invention coordinates type decision module
Coordinate classification of type modular display interface；
Figure 12 is that a kind of Land Use Transition coupling degree evaluation visualization system of the present invention coordinates type decision module
Coordinate classification of type result and shows interface.
Specific implementation mode
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to embodiment party of the present invention
Formula is further described.
It please refers to Fig.1 and Fig. 2, the embodiment provides a kind of evaluation of Land Use Transition coupling degree is visual
Change system, including database, state parameter select module, and coevolution analog module, coordinates type at development index computing module
Determination module and coupling degree calculate mould.
Referring to FIG. 3, the database is for storing objective area initial data, using Wuhan City as mesh in the present embodiment
Mark area, the initial data include the face at interval of 5 years each land use pattern between Wuhan City nineteen ninety~2015 year
At interval of 5 years ecology, the whole of society and economic three subsystems between volume data and Wuhan City nineteen ninety~2015 year
Achievement data；
It please refers to Fig.4 and Fig. 5, state parameter selects module, for the initial data in reading database, according to soil profit
The land use structure entropy that each year is calculated with type area data calculates each year three according to grey relational grade formula
It is maximum to select out grey relational grade in each subsystem for the grey relational grade of every the class index and land use structure entropy of subsystem
Four class indexs as state parameter, specific process flow is as follows：
Annual land use structure entropy, the calculation formula of spatial patterns are in 1.1 computation sheets：
In formula：PiIt is the percentage that i-th kind of land use pattern accounts for Wuhan City's land use gross area, A is Wuhan City's soil
Ground area total amount, Ai(i=1,2 ..., n) is the area of i-th kind of land use pattern, and H is spatial patterns；
1.2 arrange the achievement data value in three subsystems and carry out mean value to every class achievement data in three subsystems
Change is handled,
K=1,2 ... n
Indicate the average value of i kind indexs n, X 'iIndicate i-th kind of index value after equalization, X 'i={ x 'i(1),x′i
(2),…,x′i(n) } (i ∈ K, K={ 1,2 ..., n }) is the comparison ordered series of numbers after equalization；
1.3 handle to obtain X ' using above-mentioned equalization method to the H equalizations of each spatial patterns0(k), soil
It is X ' using the reference sequence after structure entropy equalization0={ x '0(1),x′0(2),…,x′0(n)}；
1.4 calculate the grey relational grade of each index and land use structure entropy of three subsystems, grey relational grade
ζi(k) calculation formula is as follows：
The grey relational grade ζ of each index in each subsystem of 1.5 comparisonsi(k), grey correlation in each subsystem is filtered out
Maximum four classes index is spent as the subsystem state parameter, and economic, society, biological subsystem filter out 12 class kind states altogether
Parameter.
Please refer to Fig. 6, Fig. 7 and Fig. 8, the coevolution analog module, for according to the finger per class state parameter each year
Mark data establish synergetics equation and calculate the domain coefficient of speeding per class state parameter, and selection is speeded six classes of domain coefficient absolute value minimum
State parameter is as S order parameter and ensures that each subsystem at least has a S order parameter, specific processing method as follows：
2.1 determine the achievement data in each year, composing indexes data sequence according to 12 class state parameters：
xi(t) (i=1,2 ..., n；T==1,2 ..., m)
xi(t) achievement data of the i-th class state parameter m is indicated；
Per class state parameter x in 2.2 pairs of achievement data sequencesi(t) nondimensionalization is carried out to handle to obtainAnd per class
State parameter index sorted to obtain nondimensionalization matrix according to the time：
2.3 rightIt carries out single order accumulation process and sorts to obtain single order accumulated matrix according to the time：
2.4 establish synergetics equation：
Total rate
In formula：It acts synergistically to the excitation of itself for system,It is state parameter j to state parameter i's
Excitation synergistic effect,It is system to the inhibition Competition of itself,It is state parameter j to state parameter i
Inhibition Competition；
aii=ai, bii+bij=bi, then：
And because：
I.e.：
By t=2,3 ..., m, which is brought into above formula, can be obtained synergetics equation as follows then：
After above formula is arranged:yiN=BiPi, wherein Pi=[ai,bi,ai1,ai2,...,aii-1,aii+1,ain]T。
Have under criterion of least squares:
Each state parameter x in each subsystem is acquired using least square methodi(t) relaxation coefficient ai,
2.5 screening S order parameters：The state parameter that a domain coefficient absolute value minimum of speeding is filtered out in each subsystem is made
For the S order parameter of system evaluation, and it is absolute by filtering out three domain coefficients of speeding in whole state parameters other in three systems
It is worth the minimum S order parameter as system evaluation.
Please refer to Fig. 9 and Figure 10, development index computing module, for bringing the S order parameter of each subsystem into development index
Equation calculates the development index in each subsystem each time, and each subsystem development index change curve is fitted according to the time,
The annual development index pace of change of each subsystem is obtained, circular is as follows：
3.1 use ideal value method to each S order parameter standardization, and processing method is as follows：
Enable Mj=max { Xij},mj=min { Xij, wherein MjFor the maximum value of j-th of index, mjMost for j-th of index
Small value, for positive index：Xij'=Xij/Mj, for negative sense index：Xij'=mj/Xij；Define standardized value：It is hereby achieved that normalized matrix Y={ Yij}m×n。
3.2 pairs of matrixes calculate the weight of each S order parameter using Information Entropy：
The comentropy of jth item index is：Wherein ejFor the comentropy of jth item index, YijFor sequence
Parameter normalized matrix,M is sample number, i.e. the time；
The weight of jth item index is：N is index quantity.
3.3 calculate the contribution degree of each S order parameter：
Determine single S order parameter XijUpper limit aijWith lower limit bij, calculate XijContribution degree
3.4 calculate each subsystem development index：
λ in formulajFor the weight for the S order parameter that Information Entropy determines；UkFor the development index sequence of kth class subsystem, total i member
Element；M is that kth class subsystem includes S order parameter number；uijFor the contribution degree of kth class 1 year j-th index of subsystem.
3.5 utilize fitting of a polynomial tool, are fitted each subsystem progress curve Fi=axn+bxn-1+...+c；Wherein FiFor
Development index match value；X is the sequence variable time；A, b, c are the coefficient of each secondary item of fitting function.
3.6 computing subsystem Evolution Rates equations, to matched curve FiDerivation, the development index for obtaining three subsystems become
Change rate equation：
By x=1,2 ... m is brought into VA、VB、VCIn up to each subsystem corresponding time development index pace of change；
Coordinate type decision module, for compareing Evolution States classification chart according to three subsystems development index pace of change
Judge objective area system coordination type, the Evolution States classification chart is as shown in figure 11, system coordination type such as Figure 12 institutes
Show.
Coupling degree computing module, for calculating integrated system coupling association according to the development index of three subsystems every year
Scheduling, coupling coordinate integrated value and can determine whether the annual ecology in objective area, society, economic integrated system coupling coordination degree, coupling
Degrees of coordination calculation formula is as follows：
C=3 { (U1·U2·U3)/[(U1+U2)(U1+U3)(U2·U3)]}1/3
U1, U2, U3 respectively represent the development index of certain year economic, social, ecological three subsystems.
In the absence of conflict, the feature in embodiment and embodiment herein-above set forth can be combined with each other.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of Land Use Transition coupling degree evaluates visualization system, which is characterized in that including：
Database, for storing objective area initial data, the initial data includes the face of all kinds of land use patterns of q
The volume data and ecology of this q, society and all kinds of achievement datas of economic three subsystems, wherein q >=2 and be integer；
State parameter selects module, and for the initial data in reading database, each year soil is calculated according to area data
Ground utilizes structure entropy, and the every class index and land use structure of each year three subsystems are calculated according to grey relational grade formula
The grey relational grade of entropy selects out the maximum four classes index of grey relational grade in each subsystem as state parameter；
Coevolution analog module, for establishing synergetics equation according to the achievement data per class state parameter q and calculating every
Six class state parameters of the domain coefficient of speeding of class state parameter, the domain coefficient absolute value minimum that selects to speed as S order parameter and ensure each
Subsystem at least has a S order parameter；
Development index computing module, each year achievement data for each S order parameter by each subsystem is according to development index equation
The development index for calculating each subsystem is fitted each subsystem development index change curve according to the time, obtains per height
The annual development index pace of change of system；
Coordinate type decision module, judges for compareing Evolution States classification chart according to three subsystems development index pace of change
Go out objective area system coordination type.
2. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
The system of stating further includes coupling degree computing module, based on according to the development index of three subsystems by coupling degree formula
It calculates Land Use Transition and integrates coupling degree.
3. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
It is equal to state interval of the arbitrary neighborhood between 2 years in q.
4. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
It states to establish after coevolution analog module adds up to the achievement data progress nondimensionalization and single order in every class state parameter each year and assist
Classmate's equation.
5. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
It is that a domain system of speeding is filtered out in the state parameter of each subsystem to state the method that coevolution analog module determines S order parameter
The S order parameter as system evaluation of number absolute value minimum, and by being left to filter out three again in state parameter in three systems
The S order parameter as system evaluation for domain coefficient absolute value minimum of speeding.
6. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
It states development index computing module and uses band after the achievement data standardization annual to each subsystem institute order parameter of ideal value method
Enter development index equation, calculates the annual development index of each subsystem.
7. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
The development index that development index computing module is fitted each subsystem each year using fitting of a polynomial tool is stated, matched curve is asked
It leads to obtain the development index pace of change in each subsystem each year.
8. a kind of Land Use Transition coupling degree as described in claim 1 evaluates visualization system, it is characterised in that：Institute
It states coordination type decision module and is rendered and shown system coordination type in objective area using polar plot.
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| CN113298418A (en) * | 2021-06-15 | 2021-08-24 | 广东工业大学 | Construction method and system of homeland space three-birth index |
| CN115545589A (en) * | 2022-12-06 | 2022-12-30 | 深圳市城市规划设计研究院有限公司 | Regional multi-system collaborative development assessment method and device, electronic equipment and medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113222322A (en) * | 2021-03-19 | 2021-08-06 | 中国科学院城市环境研究所 | Regional coordination degree evaluation method, terminal equipment and storage medium |
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