CN107368941A - A kind of wetlands ecosystems value of services big data appraisal procedure and device - Google Patents
A kind of wetlands ecosystems value of services big data appraisal procedure and device Download PDFInfo
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Abstract
The embodiment of the present invention, which provides a kind of wetlands ecosystems value of services big data appraisal procedure and device, methods described, to be included：With determining wetland Class Type and ecosystems services type association；The absolute weight of various ecosystems services types is determined, and is converted into relative weighting；With determining wetland Class Type and the relational matrix of ecosystems services；Build ecosystems services coupling evaluation model；According to the value assessment case of history wetlands ecosystems service, optimal weights conversion coefficient is obtained；Spatial analytical model is coupled with the optimal weights conversion coefficient, obtains wetlands ecosystems service big data model of coupling.Methods described is under the premise of the level Analysis on Mechanism of value of ecosystem service, special heterogeneity quantitative expression by high-precision ground mulching data to value of ecosystem service, and the nature of coupling influence value of ecosystem service, environment, socio-economic indicator, realize the comprehensive assessment of the value of ecosystem service based on data-driven.
Description
Technical field
The present invention relates to field of ecology, is assessed in particular to a kind of wetlands ecosystems value of services big data
Method and device.
Background technology
The Ecosystem Service Value of the ecosystem assesses the basis for being ecosystem protection and rationally utilizing, and passes through evaluation procedure
Accurately the understanding ecosystem and its various functions provided for the mankind, make rational quantitative evaluation on this basis, right
In ecological protection and rationally effectively manage it is most important.
Specific ecosystem protective policy implement, ecosystem Plan and the ecosystem protection red line delimit
Deng in the policy of forward position, simple value of ecosystem service amount, which is assessed, can not meet the needs of application well, thus from sky
Between visual angle carry out accurate evaluation and be expressed as in order to which ecosystems services are from the practical key link of study direction.
As Spatial Heterogeneous Environment sex chromosome mosaicism is got growing concern for, Estimation for value of ecosystem services research gradually by
The means such as ground mulching, remote sensing image, spatial model, the sky of ecosystems services is directly or indirectly reflected by data or model
Between it is heterogeneous, research method, which compares Conventional economics method, has the change of essence, but most of researchs are for Spatial Heterogeneous Environment
Property lack research in itself, the areal variation for service particularly in evaluation is unable to quantification expression, direct data difference
The otherness of service can not be embodied comprehensively so that result of study has homogenization trend in different geographical, often can only obtain
More rough result, or even in some areas because particularity considers not enough to produce the conclusion not squared with the fact.It is it can be said that empty
Between heterogeneous quantification consider that deficiency has become that to restrict Estimation for value of ecosystem services further to a certain extent
Improve the bottleneck with precision optimizing.
The balance that ecosystem policymaker is faced with the challenge of how to manage ecosystems services under change in time and space is with cooperateing with
Change.Then, current research is more for the particular ecosystem service sometime or under particular social economic setting, in ecology
Deficiency is studied on the comprehensive evaluation of system value, it is difficult to support macro-level policy-making.To the Spatial Heterogeneous Environment of value of ecosystem service
Property carry out comprehensive study and be advantageous to the spatial depiction that shows ecosystems services comprehensively, recognize ecology for policymaker's Comprehensive
The value of system service is most important, be also the policy making of relevant ecological system administration, supervision, implement provide it is comprehensive, can
Depending on the scientific basis of change.
Spatial character and attribute characteristic are two importances of ecosystems services special heterogeneity, and the two synthesis embodies
The special heterogeneity of ecosystems services, and current research could not be by the space of special heterogeneity and characteristic binding, from sky
Between or attribute on research it is not comprehensive enough in the heterogeneous expression of service, have impact on value of ecosystem service to a certain extent and comment
The precision and reliability estimated.It is comprehensive research ecosystems services special heterogeneity to carry out fusion from spatial character and attribute characteristic
Important channel, can from mechanistic point lifted ecosystems services special heterogeneity Evaluation accuracy and representativeness.
The content of the invention
In view of this, the purpose of the embodiment of the present invention is that providing a kind of wetlands ecosystems value of services big data assesses
Method and device, to solve the above problems.
To achieve these goals, the technical scheme that the embodiment of the present invention uses is as follows：
In a first aspect, the embodiments of the invention provide a kind of wetlands ecosystems value of services big data appraisal procedure, should
Method includes：Using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services type association；Using level
Analytic approach, the absolute weight of various ecosystems services types is determined, and the absolute weight is converted into relative weighting；It is determined that
Wetland Class Type and ecosystems services relational matrix, the often row of the relational matrix is used to represent ground mulching type,
The each column of the relational matrix is used to represent the ecosystems services type, and the value of the relational matrix element is place earth's surface
The relative weighting of the available ecosystems services type of cover type；Class distributed data and the relation according to wetland
Matrix, structure ecosystems services coupling evaluation model；According to the value assessment case of history wetlands ecosystems service, to institute
State ecosystems services coupling evaluation model and carry out least square verification, obtain optimal weights conversion coefficient；By spatial analysis mould
Type is coupled with the optimal weights conversion coefficient, obtains wetlands ecosystems service big data model of coupling.
As a kind of embodiment, after the acquisition wetlands ecosystems service big data model of coupling, institute
Stating method also includes：Big data is observed according to wetland, optimizes the wetlands ecosystems service big data model of coupling.
As a kind of embodiment, methods described also includes：Target area data are chosen, the wetlands ecosystems are taken
Big data of being engaged in model of coupling carries out model testing.
It is described to use analytic hierarchy process (AHP) as a kind of embodiment, determine the absolute right of various ecosystems services types
Weight, and the absolute weight is converted into relative weighting, including：By the yardstick and the ecosystem involved by ecosystem beneficiary
Service type is layered；Determine the judgment matrix and its scale of each level；Each level is individually ranked up respectively, and carries out one
Secondary property is examined；All levels are ranked up, and carry out disposable test；If meeting consistency check, various ecosystems are obtained
The weight for service type of uniting；According to the weight, the ecosystems services type being concerned about beneficiary is ranked up；To various institutes
The weight for stating ecosystems services type is normalized, and obtains the relative weighting of various ecosystems services types.
As a kind of embodiment, the class distributed data and relational matrix structure ecosystem clothes according to wetland
Business coupling evaluation model, including：Class distributed data, the different characteristic of attribute point for obtaining ecosystems services refer to according to the wetland
Mark；According to relational matrix structure and the attribute variation index of the ecosystems services, structure ecosystems services coupling is commented
Valency model.
Second aspect, the embodiments of the invention provide a kind of wetlands ecosystems value of services big data apparatus for evaluating, institute
Stating device includes：First analysis module, for using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services class
Type incidence relation；Second analysis module, for using analytic hierarchy process (AHP), determining the absolute right of various ecosystems services types
Weight, and the absolute weight is converted into relative weighting；Determining module, for determining wetland Class Type and ecosystems services
Relational matrix, the often row of the relational matrix is used to represent ground mulching type, and each column of the relational matrix is used to represent
The ecosystems services type, the value of the relational matrix element is the available ecosystem clothes of place earth's surface cover type
The relative weighting of service type；Module is built, for class distributed data and the relational matrix, structure ecology according to wetland
System service couples evaluation model；First processing module, for the value assessment case according to history wetlands ecosystems service,
Least square verification is carried out to ecosystems services coupling evaluation model, obtains optimal weights conversion coefficient；Second processing
Module, for spatial analytical model to be coupled with the optimal weights conversion coefficient, it is big to obtain wetlands ecosystems service
Data model of coupling.
As a kind of embodiment, described device also includes optimization module, in the acquisition wetlands ecosystems clothes
After big data model of coupling of being engaged in, big data is observed according to wetland, optimizes the wetlands ecosystems service big data coupling
Close analysis model.
As a kind of embodiment, described device also includes authentication module, for choosing target area data, to described wet
Ground ecosystems services big data model of coupling carries out model testing.
As a kind of embodiment, second analysis module, the yardstick involved by by ecosystem beneficiary is additionally operable to
With ecosystems services type hierarchical；Determine the judgment matrix and its scale of each level；Each level is individually arranged respectively
Sequence, and carry out disposable test；All levels are ranked up, and carry out disposable test；If meeting consistency check, obtain
The weight of various ecosystems services types；According to the weight, the ecosystems services type being concerned about beneficiary is arranged
Sequence；The weight of the various ecosystems services types is normalized, obtains various ecosystems services types
Relative weighting.
As a kind of embodiment, the structure module, class distributed data is additionally operable to according to the wetland, obtain ecology
The attribute variation index of system service；Referred to according to relational matrix structure and the different characteristic of the attribute of the ecosystems services point
Mark, structure ecosystems services coupling evaluation model.
Compared with prior art, a kind of wetlands ecosystems value of services big data assessment side provided in an embodiment of the present invention
Method and device, by using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services type association；Using
Analytic hierarchy process (AHP), the absolute weight of various ecosystems services types is determined, and the absolute weight is converted into relative weighting；
With determining wetland Class Type and the relational matrix of ecosystems services, the often row of the relational matrix are used to represent ground mulching class
Type, each column of the relational matrix are used to represent the ecosystems services type, and the value of the relational matrix element is place
The relative weighting of the available ecosystems services type of ground mulching type；Class distributed data and described according to wetland
Relational matrix, structure ecosystems services coupling evaluation model；According to the value assessment case of history wetlands ecosystems service,
Least square verification is carried out to ecosystems services coupling evaluation model, obtains optimal weights conversion coefficient；By space point
Analysis model is coupled with the optimal weights conversion coefficient, obtains wetlands ecosystems service big data model of coupling,
This programme is under the premise of the level Analysis on Mechanism of value of ecosystem service, by high-precision ground mulching data to the ecosystem
The special heterogeneity quantitative expression of value of services, and the nature of coupling influence value of ecosystem service, environment, social economy refer to
Mark, realizes the comprehensive assessment of the value of ecosystem service based on data-driven.
To enable the above objects, features and advantages of the present invention to become apparent, preferred embodiment cited below particularly, and coordinate
Appended accompanying drawing, is described in detail below.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by embodiment it is required use it is attached
Figure is briefly described, it will be appreciated that the following drawings illustrate only certain embodiments of the present invention, therefore be not construed as pair
The restriction of scope, for those of ordinary skill in the art, on the premise of not paying creative work, can also be according to this
A little accompanying drawings obtain other related accompanying drawings.
Fig. 1 is a kind of structured flowchart of server provided in an embodiment of the present invention.
Fig. 2 is a kind of flow of wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention
Figure.
Fig. 3 is first of a kind of wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention
Split flow figure.
Fig. 4 is second of a kind of wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention
Split flow figure.
Fig. 5 is a kind of structural frames of wetlands ecosystems value of services big data apparatus for evaluating provided in an embodiment of the present invention
Figure.
Embodiment
Below in conjunction with accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Ground describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.Generally exist
The component of the embodiment of the present invention described and illustrated in accompanying drawing can be configured to arrange and design with a variety of herein.Cause
This, the detailed description of the embodiments of the invention to providing in the accompanying drawings is not intended to limit claimed invention below
Scope, but it is merely representative of the selected embodiment of the present invention.Based on embodiments of the invention, those skilled in the art are not doing
The every other embodiment obtained on the premise of going out creative work, belongs to the scope of protection of the invention.
It should be noted that：Similar label and letter represents similar terms in following accompanying drawing, therefore, once a certain Xiang Yi
It is defined, then it further need not be defined and explained in subsequent accompanying drawing in individual accompanying drawing.Meanwhile the present invention's
In description, term " first ", " second " etc. are only used for distinguishing description, and it is not intended that instruction or hint relative importance.
As shown in figure 1, it is the block diagram for the server 100 that can be applied to the embodiment of the present invention.The server 100 wraps
Include memory 110, one or more (one is only shown in figure) processors 120, and the big number of wetlands ecosystems value of services
According to apparatus for evaluating 300.
Directly or indirectly it is electrically connected between the memory 110 and the processor 120, to realize the transmission of data or friendship
Mutually.It is electrically connected with for example, these elements can be realized by one or more communication bus or signal wire between each other.Wetland ecological
System service value big data apparatus for evaluating 300 can be stored in including at least one in the form of software or firmware (firmware)
In memory 110 or the software function module that is solidificated in the operating system (operating system, OS) of server 100.
Processor 120 is used to perform the executable module stored in memory 110, such as wetlands ecosystems value of services big data is commented
Estimate software function module or computer program that device 300 includes.
Wherein, memory 110 may be, but not limited to, random access memory (Random Access Memory,
RAM), read-only storage (Read Only Memory, ROM), programmable read only memory (Programmable Read-
Only Memory, PROM), erasable read-only memory (Erasable Programmable Read-Only Memory,
EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable Read-Only Memory,
EEPROM) etc..Wherein, memory 110 is used for storage program, and processor 120 is after execute instruction is received, configuration processor, under
State the method performed by the electronic equipment of the flow definition of any embodiment of embodiment of the present invention announcement and can apply to processor
In, or realized by processor.
Processor 120 is probably a kind of IC chip, has the disposal ability of signal.Above-mentioned processor can be
General processor, including central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network
Processor, abbreviation NP) etc.；It can also be digital signal processor (DSP), application specific integrated circuit (ASIC), ready-made programmable
Gate array (FPGA) either other PLDs, discrete gate or transistor logic, discrete hardware components.Can be with
Realize or perform disclosed each method, step and the logic diagram in the embodiment of the present invention.General processor can be micro- place
It can also be any conventional processor etc. to manage device or the processor.
It is appreciated that structure shown in Fig. 1 is only to illustrate, server 100 may also include than shown in Fig. 1 more or more
Few component, or there is the configuration different from shown in Fig. 1.Each component shown in Fig. 1 can use hardware, software or its group
Close and realize.
Wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention can be run on shown in Fig. 1
Server 100 in.By using beneficiary's analytic approach, Class Type and ecosystems services type association are closed with determining wetland
System；Using analytic hierarchy process (AHP), the absolute weight of various ecosystems services types is determined, and the absolute weight is converted into phase
To weight；With determining wetland Class Type and the relational matrix of ecosystems services, the often row of the relational matrix are used to represent ground
Table cover type, each column of the relational matrix are used to represent the ecosystems services type, the relational matrix element
It is worth for the relative weighting of the available ecosystems services type of place earth's surface cover type；Class distribution number according to wetland
Evaluation model is coupled according to the relational matrix, structure ecosystems services；According to the value of history wetlands ecosystems service
Case is assessed, least square verification is carried out to ecosystems services coupling evaluation model, obtains optimal weights conversion coefficient；
Spatial analytical model is coupled with the optimal weights conversion coefficient, obtains wetlands ecosystems service big data coupling point
Analyse model.
Because ecosystem observation big data has the characteristics that data magnanimity, dimension are complicated, variable is numerous, to data mining
Carry out unprecedented difficulty with analytic band, therefore, using evaluation of ecosystem services theory as base in the embodiment of the present invention
Plinth, defining its general research paradigm is：
Y=[X] [S]
Wherein, Y is dependent variable in formula, refers to the ecosystem service function that the ecosystem is provided, generally multidimensional service
Function, X and S are independent variable, and the amount and matter for referring to value of ecosystem service respectively characterize, and wherein X refers to the ecosystem of token state
Resource information, generally ecosystem distribution space data, S refer to the Ecological Parameter information for characterizing matter, generally ecosystem subordination
Property data, three's coupling integration constitute the project evaluation chain system of value of ecosystem service.Based on this, by the ecosystem
Value of services assess big data research system be decomposed into dimensional analysis method, spacial analytical method, property analysis method and
Comprehensive coupling process.
Wherein, dimension refers to ecosystem service function system, including leading service function and weight.
Spatial analysis is to ecosystem resource situation and the quantitative table of offer service from ecosystem spatial distribution angle
Sign.Class distribution, ecosystem geography weight matrix etc. are quantitative with can using ecosystem spatial distribution, the ecosystem for space expression
Data, analytic unit can use geographical grid, geomorphic unit, the various ways such as class unit, ecosystem unit, analysis method
The forms such as space correlation matrix can be used.Exemplified by class distribution, class distribution base attribute in ground takes with the ecosystem by the ecosystem
Business intension has a homology, and surface cover Type fusion Nature and Man text factor, is understand that ecosystems services are formed and used
Important body, the ecosystem class distribution represent maintaining the relationship between ecosystem resource and ecosystems services.
Attribute refers to the nature, environment, social and economic information of Coastal Ecosystem, is that the ecosystem realizes that the ecosystem takes
The qualitative character of business supply.Attributive analysis mainly on to ecosystem ecology observation aggregation of data analysis foundation, takes number
The methods of being extracted according to cleaning, factorial analysis, Dimension Reduction Analysis, variable, the ecosystem of the extraction with general character are natural, social, economical
Attribute simultaneously builds vector, the attribute variation index as ecosystems services.
For aforesaid way based on ground mulching spatial data, coupling dimension, space, the comprehensive data of attribute carry out ecology
System service is worth modelling evaluation, realizes the modeling of ecosystems services total factor, has innovated evaluation of ecosystem services
Research paradigm.
This programme passes through high-precision ground mulching data pair under the premise of the level Analysis on Mechanism of value of ecosystem service
The special heterogeneity quantitative expression of value of ecosystem service, and the nature of coupling influence value of ecosystem service, environment, society
Meeting economic indicator, realizes the comprehensive assessment of the value of ecosystem service based on data-driven.Below to the Wetland ecological system
System value of services big data appraisal procedure is described in detail.
Fig. 2 shows a kind of stream of wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention
Cheng Tu, referring to Fig. 2, the present embodiment describes the handling process of server, methods described includes：
Step S210, using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services type association.
Wherein, ecosystem service function refers to the benefit that the mankind obtain from the ecosystem.The ecosystem carries to the mankind
For various benefits, including functions of physical supply, regulatory function, cultural function and support function.
The embodiment of beneficiary's analytic approach is a lot, for example, can be realized by way of building ecological production function,
Specific implementation details repeat no more.
Step S220, using analytic hierarchy process (AHP), determine the absolute weight of various ecosystems services types, and will it is described absolutely
Relative weighting is converted into weight.
Wherein, analytic hierarchy process (AHP) is the simple and easy method to be made decisions to some the problem of complex, more fuzzy, and it is special
Shi Yongyu not those the problem of being difficult to complete quantitative analysis.
Referring to Fig. 3, as a kind of mode, step S220 can include：
Step S221, by the yardstick involved by ecosystem beneficiary and ecosystems services type hierarchical.
Step S222, determine the judgment matrix and its scale of each level.
Step S223, each level is individually ranked up respectively, and carries out disposable test.
Wherein, consistency check is to examine the harmony between each element importance.Concrete implementation mode is a lot,
Here is omitted.
Step S224, all levels are ranked up, and carry out disposable test.
Step S225, if meeting consistency check, obtain the weight of various ecosystems services types；
Step S226, according to the weight, the ecosystems services type being concerned about beneficiary is ranked up.
Step S227, the weight of the various ecosystems services types is normalized, obtains various ecologies
The relative weighting of system service type.
Step S230, Class Type and the relational matrix of ecosystems services, the relational matrix are often gone with determining wetland
For representing ground mulching type, each column of the relational matrix is used to represent the ecosystems services type, the relation
The value of matrix element is the relative weighting of the available ecosystems services type of place earth's surface cover type.
Refer to table 1, a kind of with the showing wetland embodiment party of Class Type and the relational matrix of ecosystems services of table 1
Formula.
Table 1
Wherein, each column of the relational matrix is used to represent the ecosystems services type, the relational matrix element
Value be the available ecosystems services type of place earth's surface cover type the relative weighting, the relational matrix element
Value N be the available ecosystems services type of place earth's surface cover type the relative weighting, after dimensional analysis
It is converted to, the integer value being finally normalized between 0-10, the standard capability of ecosystems services is provided as the ground class.
Step S240, class distributed data and the relational matrix, structure ecosystems services coupling are evaluated according to wetland
Model.
Referring to Fig. 4, as a kind of mode, step S240 can include：
Step S241, class distributed data, obtain the attribute variation indexes of ecosystems services according to the wetland.
The attribute variation index of ecosystems services is generally divided into nature index, environmental index, socio-economic indicator
Three classes：(a) natural index refers mainly to the natural characteristic of the ecosystem, is the internal factor of ecosystems services supply capacity；(b)
Environmental index refers mainly to the natural environment information where the ecosystem, it is main influence ecosystems services supply capacity it is objective because
Element；(c) socio-economic indicator refers mainly to the social and economic information where the ecosystem, main to influence value of ecosystem service amount
Objective factor.Table 2 is referred to, table 2 shows conventional nature, environment, socio-economic indicator.
Table 2
Step S242, according to relational matrix structure and the attribute variation index of the ecosystems services, structure ecology
System service couples evaluation model.
Step S250, according to the value assessment case of history wetlands ecosystems service, to the ecosystems services coupling
Close evaluation model and carry out least square verification, obtain optimal weights conversion coefficient.
Step S260, spatial analytical model is coupled with the optimal weights conversion coefficient, obtain Wetland ecological system
System service big data model of coupling.
As a kind of mode, after the acquisition wetlands ecosystems service big data model of coupling, institute
Stating method also includes：Big data is observed according to wetland, optimizes the wetlands ecosystems service big data model of coupling.
Further, also include as a kind of mode, methods described：Target area data are chosen, to the wetland
Ecosystems services big data model of coupling carries out model testing.
Wetlands ecosystems value of services big data appraisal procedure provided in an embodiment of the present invention, by using beneficiary point
Analysis method, with determining wetland Class Type and ecosystems services type association；Using analytic hierarchy process (AHP), various ecosystems are determined
The absolute weight for service type of uniting, and the absolute weight is converted into relative weighting；With determining wetland Class Type and ecosystem
The relational matrix of system service, the often row of the relational matrix are used to represent ground mulching type, and each column of the relational matrix is used
In representing the ecosystems services type, the value of the relational matrix element is the available ecology of place earth's surface cover type
The relative weighting of system service type；Class distributed data and the relational matrix, structure ecosystem clothes according to wetland
Business coupling evaluation model；According to the value assessment case of history wetlands ecosystems service, the ecosystems services are coupled
Evaluation model carries out least square verification, obtains optimal weights conversion coefficient；Spatial analytical model and the optimal weights are turned
Change coefficient to be coupled, obtain wetlands ecosystems service big data model of coupling, this programme is in ecosystems services valency
Under the premise of the level Analysis on Mechanism of value, the special heterogeneity of value of ecosystem service is determined by high-precision ground mulching data
Amount expression, and the nature of coupling influence value of ecosystem service, environment, socio-economic indicator, are realized based on data-driven
Value of ecosystem service comprehensive assessment.Specifically, using comprehensive ecosystems services type as input quantity, life is realized
The comprehensive assessment of state system service；The objective expression of value of ecosystem service is realized based on ground mulching data so that
Assessment models have tight geometry in itself, objectively respond the spatial distribution differences of ecosystems services, improve ecology
The region generalization ability that system service is assessed；Model coupling nature, environment, comprehensive index of social economy, realize ecology
The comprehensive assessment of system service value, improve the precision and reliability of evaluation of ecosystem services.
Conventional method determines the weight of value of ecosystem service by expert estimation, and this programme is calculated based on dimensional analysis
The relative weighting of value of ecosystem service, the mechanism expression to value of ecosystem service is realized, for based on data-driven
Wetlands ecosystems value of services assess provide new approaches, the actual weight of value of ecosystem service passes through data solution
Calculate, change the thinking of the subjective marking of expert.
Traditional value Equivalent method is also but every kind of earth's surface by ground mulching quantitative expression value of ecosystem service
The Ecosystem Service Value amount of cover type is also to use empirical value, dispute in the applicability of region be present.This programme studies earth's surface
Special heterogeneity relative expression's method of covering, is then resolved by data modeling, changes the calculating of special heterogeneity expression
Pattern, realize from empirical value expression to the transformation adaptively expressed.
Further, this programme defines general Study normal form based on evaluation of ecosystem services theory：Y
=[X] [S], based on ground mulching spatial data, coupling dimension, space, the comprehensive data of attribute carry out ecosystem clothes
Business value modelling evaluation, realizes the modeling of ecosystems services total factor, has innovated the research of evaluation of ecosystem services
Normal form.
Referring to Fig. 5, it is wetlands ecosystems value of services big data apparatus for evaluating 300 provided in an embodiment of the present invention
High-level schematic functional block diagram.The wetlands ecosystems value of services big data apparatus for evaluating 300 runs on server 100.It is described
Wetlands ecosystems value of services big data apparatus for evaluating 300 includes the first analysis module 310, the second analysis module 320, determines
Module 330, structure module 340, first processing module 350, Second processing module 360.
First analysis module 310, for using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services class
Type incidence relation.
Second analysis module 320, for using analytic hierarchy process (AHP), determining the absolute right of various ecosystems services types
Weight, and the absolute weight is converted into relative weighting.
As a kind of embodiment, second analysis module, the yardstick involved by by ecosystem beneficiary is additionally operable to
With ecosystems services type hierarchical；Determine the judgment matrix and its scale of each level；Each level is individually arranged respectively
Sequence, and carry out disposable test；All levels are ranked up, and carry out disposable test；If meeting consistency check, obtain
The weight of various ecosystems services types；According to the weight, the ecosystems services type being concerned about beneficiary is arranged
Sequence；The weight of the various ecosystems services types is normalized, obtains various ecosystems services types
Relative weighting.
Determining module 330, for determining wetland Class Type and the relational matrix of ecosystems services, the relational matrix
Often row be used to represent ground mulching type, each column of the relational matrix is used to represent the ecosystems services type, institute
The value for stating relational matrix element is the relative weighting of the available ecosystems services type of place earth's surface cover type.
Module 340 is built, for class distributed data and the relational matrix, builds ecosystems services coupling according to wetland
Close evaluation model.
As a kind of embodiment, the structure module 340, class distributed data is additionally operable to according to the wetland, is obtained
The attribute variation index of ecosystems services；According to relational matrix structure and the different characteristic of the attribute of the ecosystems services point
Index, structure ecosystems services coupling evaluation model.
First processing module 350, for the value assessment case according to history wetlands ecosystems service, to the ecology
System service coupling evaluation model carries out least square verification, obtains optimal weights conversion coefficient.
Second processing module 360, for spatial analytical model to be coupled with the optimal weights conversion coefficient, obtain
Wetlands ecosystems service big data model of coupling.
As a kind of embodiment, described device also includes optimization module 370, in the acquisition wetlands ecosystems
After servicing big data model of coupling, big data is observed according to wetland, optimizes the wetlands ecosystems service big data
Model of coupling.
As a kind of embodiment, described device also includes authentication module 380, for choosing target area data, to institute
State wetlands ecosystems service big data model of coupling and carry out model testing.
Each module can be that now, above-mentioned each module can be stored in depositing for server 100 by software code realization above
In reservoir 110.Each module can equally be realized by hardware such as IC chip above.
It should be noted that each embodiment in this specification is described by the way of progressive, each embodiment weight
Point explanation is all difference with other embodiment, between each embodiment identical similar part mutually referring to.
The wetlands ecosystems value of services big data apparatus for evaluating that the embodiment of the present invention is provided, its realization principle and production
Raw technique effect is identical with preceding method embodiment, and to briefly describe, device embodiment part does not refer to part, before referring to
State corresponding contents in embodiment of the method.
In several embodiments provided herein, it should be understood that disclosed apparatus and method, can also pass through
Other modes are realized.Device embodiment described above is only schematical, for example, flow chart and block diagram in accompanying drawing
Show the device of multiple embodiments according to the present invention, method and computer program product architectural framework in the cards,
Function and operation.At this point, each square frame in flow chart or block diagram can represent the one of a module, program segment or code
Part, a part for the module, program segment or code include one or more and are used to realize holding for defined logic function
Row instruction.It should also be noted that at some as in the implementation replaced, the function that is marked in square frame can also with different from
The order marked in accompanying drawing occurs.For example, two continuous square frames can essentially perform substantially in parallel, they are sometimes
It can perform in the opposite order, this is depending on involved function.It is it is also noted that every in block diagram and/or flow chart
The combination of individual square frame and block diagram and/or the square frame in flow chart, function or the special base of action as defined in performing can be used
Realize, or can be realized with the combination of specialized hardware and computer instruction in the system of hardware.
In addition, each functional module in each embodiment of the present invention can integrate to form an independent portion
Point or modules individualism, can also two or more modules be integrated to form an independent part.
If the function is realized in the form of software function module and is used as independent production marketing or in use, can be with
It is stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially in other words
The part to be contributed to prior art or the part of the technical scheme can be embodied in the form of software product, the meter
Calculation machine software product is stored in a storage medium, including some instructions are causing a computer equipment (can be
People's computer, server, or network equipment etc.) perform all or part of step of each embodiment methods described of the present invention.
And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), arbitrary access
Memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can be with the medium of store program codes.Need
It is noted that herein, such as first and second or the like relational terms are used merely to an entity or operation
Made a distinction with another entity or operation, and not necessarily require or imply these entities or exist between operating any this
Actual relation or order.Moreover, term " comprising ", "comprising" or its any other variant are intended to nonexcludability
Comprising so that process, method, article or equipment including a series of elements not only include those key elements, but also wrapping
Include the other element being not expressly set out, or also include for this process, method, article or equipment intrinsic want
Element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that wanted including described
Other identical element also be present in the process of element, method, article or equipment.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.It should be noted that：Similar label and letter exists
Similar terms is represented in following accompanying drawing, therefore, once being defined in a certain Xiang Yi accompanying drawing, is then not required in subsequent accompanying drawing
It is further defined and explained.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Those familiar with the art the invention discloses technical scope in, change or replacement can be readily occurred in, should all be contained
Cover within protection scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (10)
1. a kind of wetlands ecosystems value of services big data appraisal procedure, it is characterised in that methods described includes：
Using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services type association；
Using analytic hierarchy process (AHP), the absolute weight of various ecosystems services types is determined, and the absolute weight is converted into
Relative weighting；
With determining wetland Class Type and the relational matrix of ecosystems services, the often row of the relational matrix are used to represent that earth's surface is covered
Lid type, each column of the relational matrix are used to represent the ecosystems services type, and the value of the relational matrix element is
The relative weighting of the available ecosystems services type of place earth's surface cover type；
Class distributed data and the relational matrix, structure ecosystems services coupling evaluation model according to wetland；
According to the value assessment case of history wetlands ecosystems service, ecosystems services coupling evaluation model is carried out
Least square verifies, and obtains optimal weights conversion coefficient；
Spatial analytical model is coupled with the optimal weights conversion coefficient, obtains wetlands ecosystems service big data coupling
Close analysis model.
2. according to the method for claim 1, it is characterised in that in the acquisition wetlands ecosystems service big data coupling
After analysis model, methods described also includes：
Big data is observed according to wetland, optimizes the wetlands ecosystems service big data model of coupling.
3. according to the method for claim 2, it is characterised in that methods described also includes：
Target area data are chosen, servicing big data model of coupling to the wetlands ecosystems carries out model testing.
4. according to the method for claim 1, it is characterised in that it is described to use analytic hierarchy process (AHP), determine the various ecosystems
The absolute weight of service type, and the absolute weight is converted into relative weighting, including：
By the yardstick involved by ecosystem beneficiary and ecosystems services type hierarchical；
Determine the judgment matrix and its scale of each level；
Each level is individually ranked up respectively, and carries out disposable test；
All levels are ranked up, and carry out disposable test；
If meeting consistency check, the weight of various ecosystems services types is obtained；
According to the weight, the ecosystems services type being concerned about beneficiary is ranked up；
The weight of the various ecosystems services types is normalized, obtains various ecosystems services types
Relative weighting.
5. according to the method for claim 1, it is characterised in that the class distributed data and the relation square according to wetland
Battle array structure ecosystems services coupling evaluation model, including：
Class distributed data, obtain the attribute variation index of ecosystems services according to the wetland；
According to relational matrix structure and the attribute variation index of the ecosystems services, structure ecosystems services coupling is commented
Valency model.
6. a kind of wetlands ecosystems value of services big data apparatus for evaluating, it is characterised in that described device includes：
First analysis module, for using beneficiary's analytic approach, with determining wetland Class Type and ecosystems services type association
Relation；
Second analysis module, for using analytic hierarchy process (AHP), determining the absolute weight of various ecosystems services types, and by institute
State absolute weight and be converted into relative weighting；
Determining module, for determining wetland Class Type and the relational matrix of ecosystems services, the relational matrix is often gone
For representing ground mulching type, each column of the relational matrix is used to represent the ecosystems services type, the relation
The value of matrix element is the relative weighting of the available ecosystems services type of place earth's surface cover type；
Module is built, for class distributed data and the relational matrix, structure ecosystems services coupling evaluation according to wetland
Model；
First processing module, for the value assessment case according to history wetlands ecosystems service, the ecosystem is taken
Business coupling evaluation model carries out least square verification, obtains optimal weights conversion coefficient；
Second processing module, for spatial analytical model to be coupled with the optimal weights conversion coefficient, obtain wetland life
State system service big data model of coupling.
7. device according to claim 6, it is characterised in that described device also includes optimization module, for being obtained described
After obtaining wetlands ecosystems service big data model of coupling, big data is observed according to wetland, optimizes the Wetland ecological
System service big data model of coupling.
8. device according to claim 7, it is characterised in that described device also includes authentication module, for choosing target
Area data, big data model of coupling is serviced to the wetlands ecosystems and carries out model testing.
9. device according to claim 6, it is characterised in that second analysis module, be additionally operable to by the ecosystem by
Yardstick and ecosystems services type hierarchical involved by beneficial person；Determine the judgment matrix and its scale of each level；Respectively to each
Individual level is individually ranked up, and carries out disposable test；All levels are ranked up, and carry out disposable test；It is if full
Sufficient consistency check, obtain the weight of various ecosystems services types；According to the weight, the ecosystem being concerned about beneficiary
System service type is ranked up；The weight of the various ecosystems services types is normalized, obtains various lifes
The relative weighting of state system service type.
10. device according to claim 6, it is characterised in that the structure module, be additionally operable to class according to the wetland
Distributed data, obtain the attribute variation index of ecosystems services；According to relational matrix structure and the ecosystems services
Attribute variation index, structure ecosystems services coupling evaluation model.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112214924A (en) * | 2020-09-17 | 2021-01-12 | 西南科技大学 | Calculation method for quantifying balance and cooperation relationship between watershed hydrological ecosystem services |
| CN114611866A (en) * | 2022-01-23 | 2022-06-10 | 杭州领见数字农业科技有限公司 | Visualization presentation method and device for total production value of plot ecosystem |
| CN115099881A (en) * | 2022-08-24 | 2022-09-23 | 国家林业和草原局林草调查规划院 | Computing method and system for wetland ecosystem service value data |
-
2017
- 2017-06-07 CN CN201710426420.XA patent/CN107368941A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112214924A (en) * | 2020-09-17 | 2021-01-12 | 西南科技大学 | Calculation method for quantifying balance and cooperation relationship between watershed hydrological ecosystem services |
| CN114611866A (en) * | 2022-01-23 | 2022-06-10 | 杭州领见数字农业科技有限公司 | Visualization presentation method and device for total production value of plot ecosystem |
| CN115099881A (en) * | 2022-08-24 | 2022-09-23 | 国家林业和草原局林草调查规划院 | Computing method and system for wetland ecosystem service value data |
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Application publication date: 20171121 |