CN110069885A - A kind of " three lives " space optimization method based on external ecology functional localization - Google Patents

A kind of " three lives " space optimization method based on external ecology functional localization Download PDF

Info

Publication number
CN110069885A
CN110069885A CN201910366300.4A CN201910366300A CN110069885A CN 110069885 A CN110069885 A CN 110069885A CN 201910366300 A CN201910366300 A CN 201910366300A CN 110069885 A CN110069885 A CN 110069885A
Authority
CN
China
Prior art keywords
space
lives
type
cellular
region
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910366300.4A
Other languages
Chinese (zh)
Other versions
CN110069885B (en
Inventor
陈田田
王强
彭立
刘春红
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Normal University
Institute of Mountain Hazards and Environment IMHE of CAS
Original Assignee
Chongqing Normal University
Institute of Mountain Hazards and Environment IMHE of CAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Normal University, Institute of Mountain Hazards and Environment IMHE of CAS filed Critical Chongqing Normal University
Priority to CN201910366300.4A priority Critical patent/CN110069885B/en
Publication of CN110069885A publication Critical patent/CN110069885A/en
Application granted granted Critical
Publication of CN110069885B publication Critical patent/CN110069885B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Development Economics (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biomedical Technology (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Educational Administration (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention belongs to eco-functional regionalization technical fields, and in particular to a kind of " three lives " space optimization method based on external ecology functional localization, including (1) " three lives " amount of space structural simulation;" three lives " amount of space structure requires to acquire so that value of ecosystem service is up to target and constructs by grey linear programming model according to state key eco-functional regionalization;(2) " three lives " spatial framework configures;Multilayer neural network and cellular automata, which combine, constructs MLP-CA model;The model includes two big modules, is training module and analog module respectively;Internal conversion rule is obtained automatically using trained network in training module, while being superimposed with external conversion rule, and then these transformation rules are input in analog module again, complete " three lives " spatial simulation calculating process.The present invention highlights lower " three lives " space optimization of ecological functions positioning, realize " three lives " amount of space simulate configured with pattern it is synchronous.

Description

A kind of " three lives " space optimization method based on external ecology functional localization
Technical field
The invention belongs to eco-functional regionalization technical fields, and in particular to a kind of " three lives " based on external ecology functional localization Space optimization method.
Background technique
Important carrier of the soil as all socio-economic activitys of the mankind, utilizing to it is substantially the mankind to earth surface Transformation behavior, decide the state of ecosystem environment, economy and society function, be related to raising and the region of mankind's happiness Sustainable development is the important content of soil scientific research.For the angle of function, land function include production, life and Ecological three kinds of function types cover biophysics process, directly or indirectly production and spirit, culture, lie fallow, the demand of aesthetics Meet etc., it is the product of natural system and social economic system collaboration coupling.Every kind of function has its corresponding space, is respectively Production, life and ecological space, referred to as " three lives " space.Production space is to carry out agricultural, industry and business activity to obtain production The region of product and functions of physical supply, living space be to provide carrying and ensure people claim credit for oneself can region, and ecological space be then with adjust Region based on section, maintenance and guarantee ecological safety function.Wherein, production space is basic, decides that living space, ecology are empty Between situation;Living space is purpose, and the home to return to of space optimization is the finer of living space;Ecological space is that production is empty Between, living space provides safeguard.It the balance of three large spaces or not is the key that realize Region Sustainable Development.Since 21 century, Along with the acceleration of process of industrialization, the propulsion of Development of China's Urbanization, it is prominent that " three lives " space mutually ties up phenomenon.According to statistics, Nineteen ninety~2012 year, National urban construction land area are increased between 4.56 ten thousand square kilometres, 12 years by 1.29 ten thousand square kilometres 2.5 times are increased, average annual growth rate reaches 5.9%;Town site area increases to 4.58 ten thousand by 1.16 ten thousand square kilometres Square kilometre, increase by 2.9 times, average annual growth rate 6.4%.At the same time, urban population then increases to 7.12 hundred million by 3.03 hundred million, increases 1.35 times are grown, average annual growth rate 4.0%.This large-scale Persisting exploitation construction activity brings huge to Land Resources Exploitation Big pressure threatens the grain security of country.Meanwhile large-scale development activities also affect the ecological safety of country.Cut-off By 2010, ten thousand yuan of Chinese GDP energy consumptions were 4.88 tons of standard coals, be 2.3 times of world average level respectively, European Union 4.1 Again, 3.8 times, Japanese 7.6 times of the U.S., or even will be high than some countries underdeveloped, the discharge of major pollutants is total Amount is in higher level, or even the maximum capacity already close to Eco-environmental Issues in China.
Currently, the research about " three lives " space still concentrates on the basic research such as " three lives " concept of space, type identification, It is less to researchs such as " three lives " spatial simulation, pattern configurations.Rare " three lives " space configuration research is mainly using statistics Method lacks the combination of the fusion between a variety of methods, especially remote sensing technology, GIS and programming technique.Also, " three The object of life " space optimization research is mainly economically developed cities and towns, group of cities etc., to the state key with specific ecological functions Eco-functional regionalization research is less.
State key eco-functional regionalization optimizes land resources spatial framework, unshakable ground subject of implementation function as China Area's system, the key area for promoting the proposed delimitation of conservation culture institutional improvement.Its functional localization is to maintain internal and extraneous region Ecological environment is stablized, and utmostly realizes its value of ecosystem service.The ecological environment in this kind of region is generally all very fragile, and one Denier will be caused great threat and loss to region or larger range of natural ecological environment by unreasonable impact.Cause This, to realize that this kind of regional function positioning just has to reduce exploitation to the greatest extent, limitation carries out extensive high-intensitive industrialization city Town melts hair, reinforces protection to ecological sensitive areas and vulnerable areas, to keep and improve the supply capacity of ecological product.Meanwhile one As state key eco-functional regionalization economic and undeveloped, even backward state.Therefore, this kind of region face one is very Important task is exactly to develop the economy, and is lifted oneself out of poverty.And its expanding economy largely derives from project construction and money Source exploitation, especially urbanization, the quickening of process of industrialization exacerbate production space and occupy other spaces, ecological environment Pollution, the fragmentation of ecoscape.How to be weighed between external function positioning and in-house development demand, how to be realized The development of " three lives " reconciling spatial scale is state key eco-functional regionalization problem in the urgent need to address.
Summary of the invention
In view of the above technical problems, the present invention combines each computer and programming technique, is with state key eco-functional regionalization Research object, proposes a kind of " three lives " space optimization method based on external ecology functional localization, purpose guarantee it is economical, Value of ecosystem service is utmostly realized under conditions of society, grain demand, future development program demand, is given in region certainly This composite system of so-society-ecology-economy provides maximum comprehensive benefit.
Specific technical solution are as follows:
A kind of " three lives " space optimization method based on external ecology functional localization mainly includes two steps: first is that " three It is raw " amount of space structural simulation, second is that " three lives " spatial framework configures.
Wherein " three lives " amount of space structural simulation, " three lives " amount of space structure are wanted according to state key eco-functional regionalization It asks so that value of ecosystem service is up to target and constructs, is acquired by grey linear programming model.
Multilayer neural network (MLP) and cellular automata (CA) are combined building by the configuration of " three lives " spatial framework, the present invention MLP-CA model.The model includes two big modules, is training module and analog module respectively.Training is utilized in training module Data obtain transformation rules automatically, while being superimposed with the transformation rule of external setting-up, then again that these transformation rules are defeated Enter into analog module, completes " three lives " spatial simulation calculating process.Detailed process is as follows:
Firstly, the task of two aspects is completed by training module, first is that being trained to multilayer neural network, with determination Multilayer neural network structure;Second is that being obtained using " three lives " spatial distribution map and impact factor as input layer according to trained network It takes internal conversion regular, exports the probability that each space-like may occur.
After obtaining internal conversion rule, according to emphasis eco-functional regionalization actual conditions, external conversion rule is set, Including following six part: the constraint of " three lives " amount of space, the constraint of absolute restricted area, ecological sensitivity, neighbourhood effect power, space Cost of transfer and adaptive inertia coeffeicent;
(a) " three lives " amount of space constrains
" three lives " amount of space shows National land space developing direction, different time nodes, the sum of each space type area It is equal, and it is equal to the National land space gross area;It may be expressed as: with functional form
Area=f (agricultural production space, production of mining industry space ...) (1)
During " three lives " spatial simulation, number constraint part plays overall control effect, that is to say, that in a timing Interior cellular conversion quantity and direction be it is determining, this constraint condition cannot be violated;The three lives " amount of space can be from a certain period It is obtained in " three lives " spatial distribution map;
(b) absolute restricted area
Absolute restricted part is that the region of effect of contraction has been converted to " three lives " space;The data are two-value datas, are only permitted Perhaps the two numerical value of data 0 and 1 exist, and numerical value 0 is expressed as absolutely limiting space, i.e., the region does not allow space type to occur to turn Change;1 indicates non-absolute limiting substrate, that is, allows that spatial transformation occurs;
(c) ecological sensitivity constrains
Can ecological sensitivity reflect the cellular to a certain extent and be shifted between other cellulars, and formula can To indicate are as follows:
Wherein,For the ecological sensitivity of t moment the i-th row j column cellular, x1To xnRespectively indicate n impact factor, α1 To αnThe respectively weight of n class factor, is obtained by analytic hierarchy process (AHP), then asks the legal ecology for calculating cellular quick by weighting Perception;
Meanwhile, it is specified that the lesser region conduct of preceding 80% ecological sensitivity can after calculating the ecological sensitivity of cellular To carry out the region of space conversion, the rear biggish region of 20% ecological sensitivity is as the region that cannot be converted;It can be with The region of conversion is set as 1, and the region that cannot be converted is set as 0;
(d) neighbourhood effect power
Using 3 × 3 moles of neighborhoods as moving window, by neighborhood neighbourhood effect power is defined as:
In formula,For cellular at the t-1 moment by the degree of neighbourhood effect, con () is a conditional function, when neighborhood window When non-central cellular in mouthful is consistent with center cellular, otherwise value 1 is 0;Indicate 3*3 window in The t-1 moment is the quantity of space type j.wjThe neighborhood weight of representation space type j.;Value is bigger, indicates center cellular Expanding ability is stronger;
(e) space transfer cost
Space transfer is mainly used for studying the transforming relationship between different spaces type;The cost is a two-value type, When certain space-like, type is converted into the higher cost of other space types, that, which is just used, 1 indicates that type is converted into it when certain space-like Cost is relatively low for its space type, that is just used and 0 indicates.
(f) adaptive inertia coeffeicent
Adaptive inertia coeffeicent is primarily used to judgement, and when the development trend of certain space type, there are larger with actual demand When gap, i.e., the development trend of the space type is adjusted in next iteration, to realize that dynamic increases the space type The formula of the adaptive inertia coeffeicent of quantity are as follows:
In formula,Refer to the inertia coeffeicent of space type j when moment t;Refer to t-1 and t-2 The pixel number of moment jth space-like and the difference of demand number.
It then, space training module automatically generated may probability of happening and external neighbourhood effect power, space turn It changes this into and inertia coeffeicent combines, construct comprehensive transition probability index.Its formula is as follows:
In formula,Refer to the combined chance that moment t cellular i is shifted from luv space type to type j;PijIt refers to The probability that space type j may occur on cellular i;Refer to the neighbourhood effect power of space type j on moment t cellular i;Refer to the inertia coeffeicent of moment t space type j;scc→jIt refers to being turned from luv space type c to target type j The cost of transfer of shifting.
After having obtained the synthesis transition probability of cellular, be superimposed with limitation range, ecological sensitivity constraint and " three lives " Amount of space constraint, realizes " three lives " spatial simulation and configuration in analog module.But in progress " three lives " spatial simulation process In, it is possible that the situation of rule conflict.For example, some cellular most probable is given birth to from green from the point of view of according to comprehensive transition probability State space switchs to agricultural production space, but the cellular belongs to limitation range areas again simultaneously, and space type conversion cannot occur.Cause This, when encountering transformation rule conflict, transformation rule is illustrated in model.One, the preferential principle of the ecology: " three lives " is empty Between according to it is green by ecological space-water by ecological space-agricultural production space-urban life space-production of mining industry space-rural area Living space-receiving ecological space sequence is configured;Two, comprehensive transition probability maximum principle: for example green by ecological space Configuration, the synthesis transition probability of each grid is ranked up first, find out it is green by the maximum grid of ecological space transition probability, Space configuration is carried out according to the descending sequence of probability, until reaching the green total amount requirement by ecological space.
The technical effect that the present patent application has are as follows:
1, " three lives " space optimization under ecological functions positioning is highlighted.By the end of currently, about " three lives " spatial framework The research of configuration and optimization is gradually increasing, but these researchs production and vital functions for being conceived to National land space more, a large amount of to have There is the space of the ecological value to be captured by production and living space, the adjustment of ecological space has very big randomness.Though ecological space Too many economical value cannot be so created, but it is the basis for ensureing every production and living development of the activity.Especially emphasis Eco-functional regionalization, the maintenance of ecological functions is not only concerning region self-growth but also to the development of peripheral region also to Guan Chong It wants.Therefore, the present invention constructs " three lives " space optimization technology using state key eco-functional regionalization as research object, to logical While crossing technology enhancing region ecosystems services, the stability of " three lives " system is improved, local area ecological fragility is reduced And sensibility, with area outside better ecosystem environment service.
2, it realizes the simulation of " three lives " amount of space and is configured with pattern synchronous, construct MLP-CA model.Of the invention " three lives " space optimization includes two parts of quantitative structure simulation and pattern configuration, first passes through Population number dynamic imitation and determines the following all kinds of skies Between ratio, then realize by pattern configuration " landing " of each space type and its ratio.Meanwhile it being provided in Population number dynamic imitation part Based on maximum " three lives " the space situation of value of ecosystem service, it is ensured that the functional localization of state key eco-functional regionalization. In pattern configuration section, MLP-CA model is constructed by multilayer neural network and cellular automata.The model is in training module In by add multilayer hidden layer so that training result is provided with degree of precision;Country's weight is fully taken into account in external rule settings The actual characteristic and demand of point eco-functional regionalization are added to the rules such as limitation range, ecosensitivity assessment, it is ensured that match in space The stability of the ecosystem during setting;To avoid the problem that rule conflict in the analog module of model, it is excellent to joined ecology First with maximum probability principle, the uniqueness and accuracy of the configuration of " three lives " spatial framework ensure that.
Detailed description of the invention
Fig. 1 is the frame diagram of " three lives " space optimization method of the invention;
Fig. 2 is embodiment Puge County " three lives " in 2017 spatial simulation figure;
Fig. 3 is embodiment Puge County " three lives " space cover figure in 2017;
Fig. 4 is embodiment the year two thousand thirty " three lives " spatial distribution map.
Specific embodiment
It is described in conjunction with the embodiments the specific technical solution of the present invention.
The frame diagram of " three lives " space optimization method that the present invention takes is as shown in Figure 1.
The present embodiment is by state key eco-functional regionalization --- for Puge County, using the year two thousand thirty as timing node, according to above-mentioned Method is simulated its " three lives " amount of space structure and pattern.
" 1. the three lives " amount of space structural simulation
According to Chinese terrestrial ecosystems unit area Ecosystem Service Value equivalent scale, bond area actual conditions, every Kind space type is linked up with its immediate ecosystem-type.Then, with the Puge County 2010-2014 main food work Object etc. is worth to calculate its agricultural production mikey area food production function services, obtains the ecology of research area's food production Economic value is 1109.7 yuan;The various value of ecosystem service in other spaces calculate then according to each space Ecosystem Service Value The ratio of equivalent obtains, such as table 1.
1 Puge County unit area value of ecosystem service table (unit: member/hm of table2)
According to the above value coefficient, objective function is constructed are as follows:
F (x)=maxZ=3961.63 × x1+19774.85 × x2+15613.48 × x3+126128.5 × x4-9607.9 ×x5-9607.9×x6-9607.9×x7+210.84×x8;
Meanwhile according to the constraint condition of each space type and areal extent such as table 2, grey linear programming model is constructed, it is right It is solved, and the year two thousand thirty Puge County " three lives " amount of space structure is obtained, such as table 3.
The constraint condition and areal extent of table 2 the year two thousand thirty each space type
" three lives " spatial area (hm under table 3 2017 years, organic growth situation and optimization situation2)
" 2. the three lives " space configuration
By the training module of MLP-CA model, it is with the spatial distribution map of Puge County " three lives " in 2010 and each impact factor Input layer is trained multilayer neural network, obtains " three lives " space type transformation rule, that is, each space-like may be sent out Raw probability distribution.
According to the neighborhood weight of each space-like, the neighbourhood effect power of center cellular can be calculated, then, obtain multiplied by training The possibility probability, cost of transfer and the inertia coeffeicent that occur, obtain comprehensive transition probability.Then it is raw to be superimposed with Puge County in 2010 State sensitivity profile, restricted area distribution map pass through correlation principle in conjunction with the amount of space structure of Puge County " three lives " in 2017 The simulation of Puge County " three lives " in 2017 spatial framework, such as Fig. 2 are completed in analog module.
Shown in Fig. 3, based on the spatial simulation figure of Puge County " three lives " in 2017 and actual distribution figure, calculate them it Between space lattice number and Moran'I index, the two for finding Puge County " three lives " space actual distribution figure and simulation drawing refer to Mark is all more close, illustrates that parameter setting is more proper, simulation effect is preferable, can be used for follow-up study.
Using the spatial distribution map of Puge County " three lives " in 2017 and each impact factor as input data, according to above-mentioned trained Network, obtaining the year two thousand thirty " three lives " space may probability of happening.Then, it is obtained according to the neighborhood weight calculation of above-mentioned each space-like The neighbourhood effect power of center cellular, multiplied by probability, above-mentioned cost of transfer, inertia coeffeicent that the obtained possibility of training occurs, Obtain comprehensive transition probability.According to Puge County ecological sensitivity distribution map, restricted area distribution map in 2017, in conjunction with " three lives " sky Between quantitative structure, in analog module complete Puge County the year two thousand thirty " three lives " Spatial Distribution Pattern simulation such as Fig. 4.

Claims (3)

1. a kind of " three lives " space optimization method based on external ecology functional localization, which is characterized in that mainly include following two A step:
(1) " three lives " amount of space structural simulation;
" three lives " amount of space structure requires to be up to target with value of ecosystem service according to state key eco-functional regionalization And construct, it is acquired by grey linear programming model;
(2) " three lives " spatial framework configures;
Multilayer neural network and cellular automata, which combine, constructs MLP-CA model;The model includes two big modules, respectively It is training module and analog module;
Internal conversion rule is obtained automatically using training data in training module, while being superimposed with external conversion rule, then These transformation rules are input in analog module again, complete " three lives " spatial simulation calculating process.
2. a kind of " three lives " space optimization method based on external ecology functional localization according to claim 1, feature It is, (2) " three lives " spatial framework configuration specifically includes following procedure:
Two tasks are completed by training module, first is that being trained to multilayer neural network, to determine multilayer neural network knot Structure, second is that internal conversion rule is obtained according to trained network using " three lives " spatial distribution map and impact factor as input layer, Export the probability that each space-like may occur;
After obtaining internal conversion rule, according to emphasis eco-functional regionalization actual conditions, external conversion rule is set;
After external rules are provided with, " three lives " space configuration is realized in analog module.
3. a kind of " three lives " space optimization method based on external ecology functional localization according to claim 1 or 2, special Sign is that the external conversion is regular, including following six part: the constraint of " three lives " amount of space, absolute restricted area, ecology Sensibility constraint, neighbourhood effect power, space transfer cost and adaptive inertia coeffeicent;
(a) " three lives " amount of space constrains
" three lives " amount of space shows National land space developing direction, and different time nodes, the sum of each space type area is equal, And it is equal to the National land space gross area;It may be expressed as: with functional form
Area=f (agricultural production space, production of mining industry space ...) (1)
During " three lives " spatial simulation, number constraint part plays overall control effect, that is to say, that within a certain period of time Cellular conversion quantity and direction be it is determining, this constraint condition cannot be violated;The three lives " amount of space can be from a certain period " three It is obtained in life " spatial distribution map;
(b) absolute restricted area
Absolute restricted part is that the region of effect of contraction has been converted to " three lives " space;The data are two-value datas, only allow to count Exist according to 0 and 1 the two numerical value, numerical value 0 is expressed as absolutely limiting space, i.e., the region does not allow space type to convert;1 It indicates non-absolute limiting substrate, that is, allows that spatial transformation occurs;
(c) ecological sensitivity constrains
Can ecological sensitivity reflect the cellular to a certain extent and be shifted between other cellulars, and formula can be with table It is shown as:
Wherein,For the ecological sensitivity of t moment the i-th row j column cellular, x1To xnRespectively indicate n impact factor, α1To αnPoint Not Wei n class factor weight, obtained by analytic hierarchy process (AHP), then by weighting ask it is legal calculate cellular ecological sensitivity;
Meanwhile, it is specified that the lesser region of preceding 80% ecological sensitivity is as can be into after calculating the ecological sensitivity of cellular The region of row space conversion, the rear biggish region of 20% ecological sensitivity is as the region that cannot be converted;It can convert Region be set as 1, the region that cannot be converted is set as 0;
(d) neighbourhood effect power
Using 3 × 3 moles of neighborhoods as moving window, by neighborhood neighbourhood effect power is defined as:
In formula,For cellular at the t-1 moment by the degree of neighbourhood effect, con () is a conditional function, when in neighborhood window Non-central cellular it is consistent with center cellular when, otherwise value 1 is 0;It indicates in 3*3 window in t-1 Moment is the quantity of space type j;wjThe neighborhood weight of representation space type j;;It is worth bigger, the expansion of expression center cellular Ability is stronger;
(e) space transfer cost
Space transfer is mainly used for studying the transforming relationship between different spaces type;The cost is a two-value type, when certain Space-like type is converted into the higher cost of other space types, that, which is just used, 1 indicates that type is converted into other skies when certain space-like Between type cost is relatively low, that is just used and 0 indicates;
(f) adaptive inertia coeffeicent
Adaptive inertia coeffeicent is primarily used to judgement, and when the development trend of certain space type, there are larger gaps with actual demand When, i.e., the development trend of the space type is adjusted in next iteration, to realize that dynamic increases the quantity of the space type The formula of adaptive inertia coeffeicent are as follows:
In formula,Refer to the inertia coeffeicent of space type j when moment t;Refer to t-1 the and t-2 moment The pixel number of jth space-like and the difference of demand number;
Then, the possible probability of happening in space and the neighbourhood effect power of outside, space that training module automatically generates are converted into This and inertia coeffeicent combine, and construct comprehensive transition probability index;Its formula is as follows:
In formula,Refer to the combined chance that moment t cellular i is shifted from luv space type to type j;PijRefer to cellular i The probability that upper space type j may occur;Refer to the neighbourhood effect power of space type j on moment t cellular i; Refer to the inertia coeffeicent of moment t space type j;scc→jRefer to the transfer shifted from luv space type c to target type j Cost.
CN201910366300.4A 2019-05-05 2019-05-05 Three-life space optimization method based on external ecological function positioning Active CN110069885B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910366300.4A CN110069885B (en) 2019-05-05 2019-05-05 Three-life space optimization method based on external ecological function positioning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910366300.4A CN110069885B (en) 2019-05-05 2019-05-05 Three-life space optimization method based on external ecological function positioning

Publications (2)

Publication Number Publication Date
CN110069885A true CN110069885A (en) 2019-07-30
CN110069885B CN110069885B (en) 2022-11-01

Family

ID=67370058

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910366300.4A Active CN110069885B (en) 2019-05-05 2019-05-05 Three-life space optimization method based on external ecological function positioning

Country Status (1)

Country Link
CN (1) CN110069885B (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111026110A (en) * 2019-11-20 2020-04-17 北京理工大学 Uncertain action planning method for linear time sequence logic containing soft and hard constraints
CN112070304A (en) * 2020-09-09 2020-12-11 深圳大学 City group element interaction measuring method, equipment and storage medium
CN113298144A (en) * 2021-05-24 2021-08-24 中南大学 Urban three-generation space identification and situation analysis method based on multi-source data
CN113361774A (en) * 2021-06-07 2021-09-07 四川农业大学 Ecological space intensive utilization optimization method and system
CN115147732A (en) * 2022-08-03 2022-10-04 湖南省国土资源规划院 Construction method and construction equipment of three-generation space transformation index model

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184458A (en) * 2011-02-28 2011-09-14 北京林业大学 Method for regulating and controlling pattern of protective forest system
CN102184328A (en) * 2011-05-10 2011-09-14 南京大学 Method for optimizing land use evolution CA model transformation rules
CN102622503A (en) * 2011-12-31 2012-08-01 武汉理工大学 Method for simulating urban land use change
CN105447235A (en) * 2015-11-12 2016-03-30 中山大学 Method for dynamically simulating land future use scenario
CN107103390A (en) * 2017-04-28 2017-08-29 华中科技大学 A kind of land planning method and system based on Land allocation model
CN107248007A (en) * 2017-06-02 2017-10-13 武汉大学 The rural residential area intelligent optimization collocation method that a kind of double-deck domain is oriented to
CN107977711A (en) * 2017-12-21 2018-05-01 武汉大学 A kind of multi-Agent Genetic Algorithm towards " three lines " collaboration optimization
CN108537710A (en) * 2018-03-26 2018-09-14 重庆交通大学 A kind of urban growth boundary demarcation method based on Markov-FLUS models
CN109002627A (en) * 2018-07-28 2018-12-14 南京林业大学 Urban planning scheme heat island simulating and predicting method based on grey neural network CA model
CN109359166A (en) * 2018-10-10 2019-02-19 广东国地规划科技股份有限公司 A kind of space increasing trends simulate calculation method synchronous with driving force factors contribution degree

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184458A (en) * 2011-02-28 2011-09-14 北京林业大学 Method for regulating and controlling pattern of protective forest system
CN102184328A (en) * 2011-05-10 2011-09-14 南京大学 Method for optimizing land use evolution CA model transformation rules
CN102622503A (en) * 2011-12-31 2012-08-01 武汉理工大学 Method for simulating urban land use change
CN105447235A (en) * 2015-11-12 2016-03-30 中山大学 Method for dynamically simulating land future use scenario
CN107103390A (en) * 2017-04-28 2017-08-29 华中科技大学 A kind of land planning method and system based on Land allocation model
CN107248007A (en) * 2017-06-02 2017-10-13 武汉大学 The rural residential area intelligent optimization collocation method that a kind of double-deck domain is oriented to
CN107977711A (en) * 2017-12-21 2018-05-01 武汉大学 A kind of multi-Agent Genetic Algorithm towards " three lines " collaboration optimization
CN108537710A (en) * 2018-03-26 2018-09-14 重庆交通大学 A kind of urban growth boundary demarcation method based on Markov-FLUS models
CN109002627A (en) * 2018-07-28 2018-12-14 南京林业大学 Urban planning scheme heat island simulating and predicting method based on grey neural network CA model
CN109359166A (en) * 2018-10-10 2019-02-19 广东国地规划科技股份有限公司 A kind of space increasing trends simulate calculation method synchronous with driving force factors contribution degree

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
程婷: ""国土空间"三生功能"分区研究 ————以重庆市为例"", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 *
金贵: ""国土空间综合功能分区研究"", 《中国博士学位论文全文数据库工程科技II辑》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111026110A (en) * 2019-11-20 2020-04-17 北京理工大学 Uncertain action planning method for linear time sequence logic containing soft and hard constraints
CN112070304A (en) * 2020-09-09 2020-12-11 深圳大学 City group element interaction measuring method, equipment and storage medium
CN112070304B (en) * 2020-09-09 2021-05-18 深圳大学 City group element interaction measuring method, equipment and storage medium
CN113298144A (en) * 2021-05-24 2021-08-24 中南大学 Urban three-generation space identification and situation analysis method based on multi-source data
CN113361774A (en) * 2021-06-07 2021-09-07 四川农业大学 Ecological space intensive utilization optimization method and system
CN113361774B (en) * 2021-06-07 2022-06-03 四川农业大学 Ecological space intensive utilization optimization method and system
CN115147732A (en) * 2022-08-03 2022-10-04 湖南省国土资源规划院 Construction method and construction equipment of three-generation space transformation index model
CN115147732B (en) * 2022-08-03 2023-06-09 湖南省国土资源规划院 Method and equipment for constructing three-dimensional transformation index model

Also Published As

Publication number Publication date
CN110069885B (en) 2022-11-01

Similar Documents

Publication Publication Date Title
CN110069885A (en) A kind of " three lives " space optimization method based on external ecology functional localization
Gao et al. Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing
Yang et al. Measure of urban-rural transformation in Beijing-Tianjin-Hebei region in the new millennium: Population-land-industry perspective
Schneider et al. The changing spatial form of cities in Western China
Xu et al. Influence of land urbanization on carbon sequestration of urban vegetation: A temporal cooperativity analysis in Guangzhou as an example
Peng et al. Spatial–temporal changes of rurality driven by urbanization and industrialization: A case study of the Three Gorges Reservoir Area in Chongqing, China
Nelson A framework for the future of urban underground engineering
CN109102193A (en) Geography designs ecological red line and delimit and management system and database, evaluation model
Gong et al. Optimal land use allocation of urban fringe in Guangzhou
Liu et al. Modeling the response of ecological service value to land use change through deep learning simulation in Lanzhou, China
Yang et al. Layout optimization and multi-scenarios for land use: An empirical study of production-living-ecological space in the Lanzhou-Xining City Cluster, China
Lautze et al. Play fairway analysis of geothermal resources across the state of Hawaii: 3. Use of development viability criterion to prioritize future exploration targets
Huang et al. Coupling responses of landscape pattern to human activity and their drivers in the hinterland of Three Gorges Reservoir Area
Yang et al. Land-use conflict identification in urban fringe areas using the theory of leading functional space partition
Jing et al. Land-use changes and ecosystem services under different scenarios in Nansi Lake Basin, China
Xiao et al. Spatial evolution of URNCL and response of ecological security: A case study on Foshan City
Pakhtigian et al. Balancing intersectoral demands in basin-scale planning: the case of Nepal's western river basins
CN105760633A (en) Green architectural design method applicable to information assistance
Li et al. Spatio-temporal differentiation and influencing factors of China’s urbanization from 2010 to 2020
Wei et al. Measuring Smart land use in urban–rural regions of China: A case study of Pukou, Nanjing City
Ali et al. Socio-economic impact of CPEC on agricultural productivity of Pakistan: a principal component analysis
Hu et al. Ecological civilization construction and green development
Jiang et al. The impact of gradient expansion of urban–rural construction land on landscape fragmentation in typical mountain cities, China
Umdu et al. Sustainable communities, neighborhoods, cities and their criteria
Song et al. Spatial network structure and driving factors of human settlements in three Northeastern provinces of China

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant