CN108304576A - A kind of the Ecological Control line demarcation method and device of intelligent interactive - Google Patents

A kind of the Ecological Control line demarcation method and device of intelligent interactive Download PDF

Info

Publication number
CN108304576A
CN108304576A CN201810169664.9A CN201810169664A CN108304576A CN 108304576 A CN108304576 A CN 108304576A CN 201810169664 A CN201810169664 A CN 201810169664A CN 108304576 A CN108304576 A CN 108304576A
Authority
CN
China
Prior art keywords
control line
ecological
ecological control
survey region
suitability
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.)
Pending
Application number
CN201810169664.9A
Other languages
Chinese (zh)
Inventor
林锦耀
吴志峰
李少英
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.)
Guangzhou University
Original Assignee
Guangzhou University
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 Guangzhou University filed Critical Guangzhou University
Priority to CN201810169664.9A priority Critical patent/CN108304576A/en
Publication of CN108304576A publication Critical patent/CN108304576A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming

Abstract

The invention discloses the Ecological Control line demarcation method and device of a kind of intelligent interactive, the method includes:Selected survey region, and ecological suitability analysis is carried out to the key element of the survey region, obtain the spatial data of the key element and ecological suitability analysis result is generated according to the spatial data;Using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to the default protection zone, generate preliminary Ecological Control line scheme;Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line scheme, Ecological Control line delimitation is carried out to the survey region using intelligent optimization algorithm, obtains the final Ecological Control line scheme of the survey region.The present invention can objectively carry out Ecological Control line delimitation, while consider Ecological Suitability and pattern compactness, and can rationally and effectively Ecological Control line scheme be connected and be coordinated with existing ecosystem environment management achievement.

Description

A kind of the Ecological Control line demarcation method and device of intelligent interactive
Technical field
The present invention relates to ecological protection technical field more particularly to a kind of Ecological Control line demarcation methods of intelligent interactive And device.
Background technology
Ecological Control line refers to the integrality, science and continuity that the ecosystem is safeguarded for support area ecological safety, The chaotic expansive for containing urban land, under the premise of respecting reasonable environmental carrying capacity and natural ecosystems, according to related method Rule, law, calmodulin binding domain CaM own actual situation and the ecological environmental protection boundary line that divides.Ecological Control line is in region sustainable development Extremely critical effect is played in exhibition, eco-environmental management and protection of resources etc..But Ecological Control line is still fallen within newly Emerging things delimit standard, demarcation method and management system etc. so far all without clearly unified regulation.
Existing Ecological Control line demarcation method can be mainly divided into two major classes type.
First kind method, it is relatively conventional in the ecosystem environment management work of reality, i.e., by combining the routine spaces GIS point The technologies such as analysis method, ecological suitability analysis and artificial comprehensive drawing delimited.It will forbid open in survey region first It sends out the existing program results such as area, ecologically fragile areas, ecological sensitive areas and carries out Spatial Overlap Analysis;Then Ecological Suitability point is carried out Analysis, and the high place of suitability value is also included within the scope of Ecological Control line, until meeting area requirements;Finally by artificial Figure spot is processed, rejects tiny independent patch etc. one by one.For example, Geneletti and van Duren utilize GIS Spatial analysis, multiple target and multicriteria evaluation method have divided Italian Martino ecological preservation area, they firstly evaluate research area Then the Ecological Suitability of each homogeneous unit carries out conservation of nature Division according to the sequence of suitability numerical value. Tulloch et al. combination GIS and multicriteria evaluation method realize the division of U.S. Hunter regional farming land protection zone, Ta Mentong The correlative factors such as soil regime, block area and the neighborhood land use of evaluation studies area cropland are crossed, are determined respectively with this The protection priority of cropland.Bender et al. is explained by comprehensive 3S technologies and ecological field field exploring, to Shenzhen roc The ecosystem, marine resources, species resource and its distribution in new district know the real situation in detail, and have divided ecology based on this Protective wire hierarchy plan.Swallow, which is kept, wide et al. makes the eco-environment resource situation in Jiangsu Province using remotely-sensed data and GIS technology Assessment, and the stringent management and control area of level-one and two level ecological protection management and control area delimited across the entire province based on this, per level-one It is subdivided into 15 class ecological protection line regions.
Second class method is then to automatically generate Ecological Control line scheme using various Multiobjective Intelligent optimization algorithms merely, The division of Ecological Control line is namely considered as land use planar space optimization problem to handle.It is also needed first to studying area Domain carries out ecological suitability analysis, then weighs search automatically using intelligent algorithm and show that the Ecological Control line of near-optimization delimited Scheme.For example, Li et al. people carries out the Ecological Control line Research on partition of Guangzhou using ant group algorithm, they are to conventional ant group algorithm Neighborhood search strategy and information update mechanism be partly improved, make its be particularly suited for solve planar space optimization ask Topic, the experimental results showed that the effect of optimization of new method than conventional GIS spacial analytical methods than get well.Chen Ming brightness et al. then proposes to adopt The Ecological Control line scheme that Dongguan City, Guangdong Province is automatically generated with discrete particle cluster algorithm, with similar, the Ta Menye of a upper research Conventional particle group algorithm be partly improved for use in processing planar space optimization problem, research finds that new algorithm can take Obtain best effect of optimization.And Shao et al. has divided the natural, ecological of Hainan Province Sanya using emerging artificial bee colony algorithm Protection zone, and comparative analysis has been carried out to the effect of optimization of various common intelligent algorithms.Liu et al. people then utilizes artificial immune system The Basic Farmland Conservation Zones that model carries out Guangzhou divide, and comparing result finds the effect of optimization ratio GIS spatial analysis of the model Method will be got well.
But there are still apparent defects for above-mentioned existing Ecological Control line demarcation method.
The shortcomings that first kind method, is to divide and evaluation criterion has stronger subjectivity, and process very complicated, needs A large amount of manpower and materials time resources are expended, the degree of automation is insufficient.In addition, there is no consider protection zone spatial framework for this method Compactness, mark off come Ecological Control line scheme typically more disperse and be crushed, be not easy to actual monitoring and management, have When be difficult to efficiently play the role of preserving the ecological environment.For the eco-environment resource management in reality, if one can be taken The protection area scheme of relative compact can not only alleviate the negative effect that urban sprawl is brought, and be conducive to migrating for species, maintain The integrity and stability of the ecosystem, and carry out investigation and management monitoring violating the regulations etc. convenient for protection zone staff.
Although and the second class method it is contemplated that survey region Ecological Suitability value and Ecological Control line pattern it is tight It gathers degree, but does not account for existing all kinds of ecological environmental protection program results (such as all kinds of nature reserve areas, basic farmland are protected Protect area, main functionality section planning), physical geography boundary and present status of land utilization etc., institute's splitting scheme cannot rationally and effectively with Mutually linking and coordinate, it is possible to there is " more rule " conflict phenomenon.Planning a multitude of names related with ecological protection suffers from each From spatial dimension, function and management system, therefore delimit Ecological Control line and be just faced with and " strive " soil with other Correlative plans Predicament.
Invention content
Technical problem to be solved of the embodiment of the present invention is, provides a kind of Ecological Control line delimitation of intelligent interactive Method and device can objectively carry out Ecological Control line delimitation, while consider Ecological Suitability and pattern compactness, and energy It is enough that rationally and effectively Ecological Control line scheme is connected and is coordinated with existing ecosystem environment management achievement.
In order to solve the above-mentioned technical problem, an embodiment of the present invention provides a kind of delimitations of the Ecological Control line of intelligent interactive Method includes the following steps:
Selected survey region, and it is suitable to the key element progress ecology of the survey region according to criteria decision-making method Property analysis, obtain the spatial data of the key element, and ecological suitability analysis result is generated according to the spatial data;
Using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to the default protection zone Domain generates preliminary Ecological Control line scheme;
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line Scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the final of the survey region Ecological Control line scheme.
Further, the key element include net primary productivity, habitat diversification, terrain slope, soil attribute with And away from water body distance;The spatial data is to quantify the key element, and normalize to the number in the range of [0,1] According to.
Further, ecological suitability analysis is generated according to the spatial data as a result, being specially:
Using criteria decision-making method, linear weighted function is carried out to the corresponding spatial data of each key element, obtains ecology Suitability analysis result;The ecological suitability analysis result includes suitability value.
Further, using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to described Default protection zone, generates preliminary Ecological Control line scheme, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate one newly Figure layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default guarantor Region is protected, preliminary Ecological Control line scheme is generated.
Further, the intelligent optimization algorithm includes genetic algorithm, simulated annealing and neural network;The space Optimized model is to be built based on genetic algorithm.
Further, based on the space optimization model built in advance, according to the ecological suitability analysis result and tentatively Ecological Control line scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the research The final Ecological Control line scheme in region, specially:
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line Scheme delimit candidate Ecological Control line scheme;
Indicate the survey region using binary two-dimensional matrix, and will each candidate Ecological Control line scheme code at Item chromosome;
Using intelligent optimization algorithm, and it is taken based on the intersection of patch and Variation mechanism repeatedly changes to every chromosome Selection, intersection and the variation in generation obtain the number of different pixels in the corresponding binary two-dimensional matrix after chiasma makes a variation Value variation, and Ecological Control line delimitation is carried out to the survey region according to the numerical value change of different pixels, obtain the research The final Ecological Control line scheme in region;Wherein,
The probability that every chromosome is selected in iteration selection is directly proportional to itself suitability value;Pixel value is 1 or 0, Wherein, 1 representative needs pixel to be protected, and 0 represents other pixels;The quantity of different pixel values is to be adjusted according to suitability value To meet the area requirements of Ecological Control line.
The embodiment of the present invention additionally provides a kind of Ecological Control line delimitation device of intelligent interactive, including:
Ecological suitability analysis unit, for selecting survey region, and according to criteria decision-making method to the research area The key element in domain carries out ecological suitability analysis, obtains the spatial data of the key element, and according to the spatial data Generate ecological suitability analysis result;
Spatial analysis unit, for using GIS spatial analytical methods, identifying the default protection zone of the survey region, and According to the default protection zone, preliminary Ecological Control line scheme is generated;
Intelligent optimization unit, for based on the space optimization model built in advance, according to the ecological suitability analysis knot Fruit and preliminary Ecological Control line scheme carry out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtain The final Ecological Control line scheme of the survey region.
Further, the key element include net primary productivity, habitat diversification, terrain slope, soil attribute with And away from water body distance;The spatial data is to quantify the key element, and normalize to the number in the range of [0,1] According to.
Further, using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to described Default protection zone, generates preliminary Ecological Control line scheme, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate one newly Figure layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default guarantor Region is protected, preliminary Ecological Control line scheme is generated.
Further, the intelligent optimization algorithm includes genetic algorithm, simulated annealing and neural network;The space Optimized model is to be built based on genetic algorithm.
Implement the embodiment of the present invention, has the advantages that:
The Ecological Control line demarcation method and device of a kind of intelligent interactive provided in an embodiment of the present invention, the method packet It includes:Selected survey region, and ecological suitability analysis is carried out to the key element of the survey region, obtain the key element Spatial data and according to the spatial data generate ecological suitability analysis result;Using GIS spatial analytical methods, described in identification The default protection zone of survey region, and according to the default protection zone, generate preliminary Ecological Control line scheme;Based on advance The space optimization model of structure, it is excellent using intelligence according to the ecological suitability analysis result and preliminary Ecological Control line scheme Change algorithm and Ecological Control line delimitation is carried out to the survey region, obtains the final Ecological Control line scheme of the survey region. The present invention can objectively carry out Ecological Control line delimitation, while consider Ecological Suitability and pattern compactness, and can close Ecological Control line scheme is effectively connected and is coordinated with existing ecosystem environment management achievement by reason.
Description of the drawings
Fig. 1 is that a kind of flow of the Ecological Control line demarcation method for intelligent interactive that first embodiment of the invention provides is shown It is intended to;
Fig. 2 is a kind of another stream of the Ecological Control line demarcation method for intelligent interactive that first embodiment of the invention provides Journey schematic diagram;
Fig. 3 is the spatial data used in Cluster of Pearl River Delta ecological suitability analysis in first embodiment of the invention Schematic diagram;
Fig. 4 is the schematic diagram of Cluster of Pearl River Delta ecological suitability analysis result in first embodiment of the invention;
Fig. 5 is that the space distribution situation in Cluster of Pearl River Delta non-development zones region is shown in first embodiment of the invention It is intended to;
Fig. 6 is the Zhujiang River three that the Ecological Control line demarcation method in first embodiment of the invention according to intelligent interactive divides The schematic diagram of angle continent Ecological Control knot fruit;
Fig. 7 is the Zhujiang River that the Ecological Control line demarcation method in first embodiment of the invention according to non intelligent interactive mode divides The schematic diagram of delta Ecological Control knot fruit;
Fig. 8 is that a kind of structure of the Ecological Control line delimitation device for intelligent interactive that second embodiment of the invention provides is shown It is intended to.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
First embodiment of the invention:
Please refer to Fig.1 and Fig. 2, Fig. 1 be first embodiment of the invention provide a kind of intelligent interactive Ecological Control line The flow diagram of demarcation method, Fig. 2 are that a kind of Ecological Control line for intelligent interactive that first embodiment of the invention provides is drawn Determine another flow diagram of method.
As shown in Figure 1, a kind of Ecological Control line demarcation method of intelligent interactive, includes the following steps:
S101, selected survey region, and the key element of the survey region is given birth to according to criteria decision-making method State suitability analysis obtains the spatial data of the key element, and generates ecological suitability analysis according to the spatial data As a result.
In the present embodiment, the key element includes net primary productivity, habitat diversification, terrain slope, soil category Property and away from water body distance;The spatial data is to quantify the key element, and normalize in the range of [0,1] Data.
In the present embodiment, described that ecological suitability analysis is generated as a result, being specially according to the spatial data:
Using criteria decision-making method, linear weighted function is carried out to the corresponding spatial data of each key element, obtains ecology Suitability analysis result;The ecological suitability analysis result includes suitability value.
In the present embodiment, using Cluster of Pearl River Delta as survey region, the ecology of the intelligent interactive is controlled The Ecological Control line that line demarcation method processed is applied to Cluster of Pearl River Delta delimited.Ecological suitability analysis is ecological planning Premise and basis determines survey region ecotype pair based on ecological principle and method according to local area ecological and resource characteristic The suitability of development of resources and restricted, to the development and ecological environmental protection of correct guidance survey region.In the present embodiment It chooses net primary productivity, habitat diversification, terrain slope, soil attribute and is given birth to as key element away from water body distance State suitability analysis.Above-mentioned key element is resampled to unified spatial resolution, and all data values are normalized to In the range of [0,1], acquired results are referring to Fig. 3, Fig. 3 is that Cluster of Pearl River Delta ecology is suitable in first embodiment of the invention The schematic diagram of suitable property analysis spatial data used.Then spatial data of the criteria decision-making method to above-mentioned key element is utilized It carries out linear weighted function and obtains ecological suitability analysis as a result, acquired results are referring to Fig. 4, Fig. 4 is in first embodiment of the invention The schematic diagram of Cluster of Pearl River Delta ecological suitability analysis result.
S102, using GIS spatial analytical methods, identify the default protection zone of the survey region, and according to described default Protection zone generates preliminary Ecological Control line scheme.
In the present embodiment, using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to The default protection zone generates preliminary Ecological Control line scheme, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate one newly Figure layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default guarantor Region is protected, preliminary Ecological Control line scheme is generated.
In the present embodiment, GIS spatial analytical methods, which refer to multiple geographical map layer datas being laid out, generates a new element The operation of figure layer, new figure layer combine attribute possessed by original multi-layer data.According to Guangdong Province nature reserve area and forbid out Region register is sent out, using GIS spatial analytical methods by main land emphasis nature reserve area, landscape in Cluster of Pearl River Delta Scenic Area, Forest Park and geological park etc. are included in the range of necessary strict protection, and acquired results are referring to Fig. 5, Fig. 5 is The schematic diagram of the space distribution situation in Cluster of Pearl River Delta non-development zones region in first embodiment of the invention.Due to space The relationship of resolution ratio, area is smaller, the scattered protection zone for being distributed in completed region of the city is not included.
S103, based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary ecology Control line scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the survey region Final Ecological Control line scheme.
In the present embodiment, further, the intelligent optimization algorithm includes genetic algorithm, simulated annealing and nerve Network;The space optimization model is to be built based on genetic algorithm.
Further, based on the space optimization model built in advance, according to the ecological suitability analysis result and tentatively Ecological Control line scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the research The final Ecological Control line scheme in region, specially:
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line Scheme delimit candidate Ecological Control line scheme;
Indicate the survey region using binary two-dimensional matrix, and will each candidate Ecological Control line scheme code at Item chromosome;
Using intelligent optimization algorithm, and it is taken based on the intersection of patch and Variation mechanism repeatedly changes to every chromosome Selection, intersection and the variation in generation obtain the number of different pixels in the corresponding binary two-dimensional matrix after chiasma makes a variation Value variation, and Ecological Control line delimitation is carried out to the survey region according to the numerical value change of different pixels, obtain the research The final Ecological Control line scheme in region;Wherein,
The probability that every chromosome is selected in iteration selection is directly proportional to itself suitability value;Pixel value is 1 or 0, Wherein, 1 representative needs pixel to be protected, and 0 represents other pixels;The quantity of different pixel values is to be adjusted according to suitability value To meet the area requirements of Ecological Control line.
In the present embodiment, intelligent optimization algorithm refers to foundation on the basis of biological intelligence or natural process, for solving most The random search algorithm of optimization problem includes mainly genetic algorithm, simulated annealing, neural network.This meeting embodiment utilizes Genetic algorithm (Genetic algorithm, GA) builds land utilization space Optimized model, because genetic algorithm can be with matrix Form easily and effectively reflects the space structure of geographic area.Genetic algorithm is put forward for the first time by John Holland, is based primarily upon Darwinian " natural selection " and " survival of the fittest " is theoretical, is highly suitable for solving the complicated optimum problem of each subject.The something lost Propagation algorithm is a kind of probability search method of overall importance, randomly generates a certain number of chromosomes (initial solution) first, then passes through Selection, intersection and the mutation operation to iterate improves current solution, until searching satisfied solution.In intelligent optimization algorithm In, interative computation process has used for reference evolutionary mechanism similar with living nature, from one group of solution, by be similar to generative propagation and The mode of natural selection realizes the survival of the fittest, on the basis of heredity existing excellent genes, generates with more preferable performance indicator The group of next generation's solution.
It should be noted that in the implementation of the Ecological Control line demarcation method of the intelligent interactive, each candidate's Ecological Control line scheme can all be coded as a chromosome, that is to say, that entire survey region can be random using one The binary two-dimensional matrix of initialization indicates (" 1 ", which represents, needs pixel to be protected, and " 0 " represents other pixels).Genetic algorithm passes through The process of the selection of successive ignition, intersection and variation gradually obtains the Ecological Control line scheme of near-optimization.In iteration each time In the process, generated first from selective staining body breeding in previous generation individuals it is next-generation, the selected probability of every chromosome and its Itself suitability value is directly proportional.Elite retention strategy is taken simultaneously, ensures all remain into per the optimal chromosome of a generation next Generation.
In addition, in order to generate more compact complete Ecological Control line scheme as far as possible, the present embodiment is also taken based on spot The intersection and Variation mechanism of block.Wherein intersect step and selectes several 3 × 3 the window's positions in two-dimensional matrix at random, it is then double Close chromosome intercourses the pixel in window.Similar therewith, variation step also selectes several 3 × 3 the window's positions, root at random Pixel value whole variation in the window is " 1 " by the neighborhood pixel situation according to each window or whole variations are " 0 ".If dye Colour solid pixel quantity of protection zone after cross and variation changes, then changes the picture of respective numbers at random according to suitability value First value is to meet area requirements.
The crossover probability of Common Genetic Algorithm is generally higher and mutation probability is relatively low, however described in this present embodiment Space optimization model needs to intersect simultaneously and mutation process finds greater compactness of individual, therefore high point should be also arranged in mutation probability It is solved with facilitating.In addition, it is the planar how established suitable for elastic section that space optimization, which studies another problem to be solved, Optimized model, the usually less elastic scale issue considered in practical eco-environmental management of existing model.If needing to delimit 2000 square kilometres of Ecological Control line, scale may all be rational in ± 100 square kilometres of elastic range.It compares Other methods, this model can highly desirable handle this problem.
It should be noted that after MATLAB platform construction space optimization models, handed over using the intelligence described in the present embodiment The Ecological Control line demarcation method of mutual formula carries out Cluster of Pearl River Delta Ecological Control line according to ecological suitability analysis result It delimit.To ensure stablizing relatively for optimum results, averagely it is used as final optimization pass result using ten times and shows in figure 6, please join Fig. 6 is read, Fig. 6 is the Zhujiang River triangle that the Ecological Control line demarcation method in first embodiment of the invention according to intelligent interactive divides The schematic diagram of continent Ecological Control knot fruit.It can be found that the higher land resource of Ecological Suitability value is all received substantially from Fig. 6 Enter within the scope of Ecological Control line.In order to be compared and analyzed with above-mentioned division result, the present embodiment also takes previous research universal The Ecological Control line of the non intelligent interactive mode used delimit thinking, i.e., directly utilizes the genetic algorithm planar space of above-mentioned structure excellent Change model and search out optimal Ecological Control line scheme based on same ecological suitability analysis result, displaying in the figure 7, please be joined Fig. 7 is read, Fig. 7 is the Zhujiang River three that the Ecological Control line demarcation method in first embodiment of the invention according to non intelligent interactive mode divides The schematic diagram of angle continent Ecological Control knot fruit.From Fig. 7 it can be found that the Ecological Control line demarcation method of non intelligent interactive mode not Can mutually it be connected with existing ecological environmental protection planning well, it is difficult to which the phenomenon that avoiding the occurrence of " more rule " conflict usually can not It is applied in actual life.
A kind of Ecological Control line demarcation method of intelligent interactive provided in this embodiment, by selecting survey region, and Ecological suitability analysis is carried out to the key element of the survey region, obtains the spatial data of the key element and according to institute It states spatial data and generates ecological suitability analysis result;Using GIS spatial analytical methods, the default protection of the survey region is identified Region, and according to the default protection zone, generate preliminary Ecological Control line scheme;Based on the space optimization mould built in advance Type, according to the ecological suitability analysis result and preliminary Ecological Control line scheme, using intelligent optimization algorithm to the research Region carries out Ecological Control line delimitation, obtains the final Ecological Control line scheme of the survey region.The present embodiment can be objective Ground carries out Ecological Control line delimitation, while considering Ecological Suitability and pattern compactness, and can rationally and effectively will be ecological Control line scheme is connected and is coordinated with existing ecosystem environment management achievement, be more convenient for actual ecomanagement and monitoring, can More effectively to maintain the integrity and stability of the ecosystem.The present embodiment has higher operability and universality, right All kinds of ecological plannings work in reality has stronger practical advice meaning.
Second embodiment of the invention:
Referring to Fig. 8, the Ecological Control line that Fig. 8 is a kind of intelligent interactive that second embodiment of the invention provides delimit dress The structural schematic diagram set.
A kind of Ecological Control line delimitation device of intelligent interactive, including:
Ecological suitability analysis unit 201, for selecting survey region, and according to criteria decision-making method to the research The key element in region carries out ecological suitability analysis, obtains the spatial data of the key element, and according to the space number According to generate ecological suitability analysis as a result,
In the present embodiment, the key element includes net primary productivity, habitat diversification, terrain slope, soil category Property and away from water body distance;The spatial data is to quantify the key element, and normalize in the range of [0,1] Data.
In the present embodiment, described that ecological suitability analysis is generated as a result, being specially according to the spatial data:
Using criteria decision-making method, linear weighted function is carried out to the corresponding spatial data of each key element, obtains ecology Suitability analysis result;The ecological suitability analysis result includes suitability value.
In the present embodiment, using Cluster of Pearl River Delta as survey region, the ecology of the intelligent interactive is controlled The Ecological Control line that line demarcation method processed is applied to Cluster of Pearl River Delta delimited.Ecological suitability analysis is ecological planning Premise and basis determines survey region ecotype pair based on ecological principle and method according to local area ecological and resource characteristic The suitability of development of resources and restricted, to the development and ecological environmental protection of correct guidance survey region.In the present embodiment It chooses net primary productivity, habitat diversification, terrain slope, soil attribute and is given birth to as key element away from water body distance State suitability analysis.Above-mentioned key element is resampled to unified spatial resolution, and all data values are normalized to In the range of [0,1], acquired results are referring to Fig. 2, Fig. 2 is that Cluster of Pearl River Delta ecology is suitable in first embodiment of the invention The schematic diagram of suitable property analysis spatial data used.Then spatial data of the criteria decision-making method to above-mentioned key element is utilized It carries out linear weighted function and obtains ecological suitability analysis as a result, acquired results are referring to Fig. 3, Fig. 3 is in first embodiment of the invention The schematic diagram of Cluster of Pearl River Delta ecological suitability analysis result.
Spatial analysis unit 202, for using GIS spatial analytical methods, identifying the default protection zone of the survey region, And according to the default protection zone, generate preliminary Ecological Control line scheme.
In the present embodiment, using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to The default protection zone generates preliminary Ecological Control line scheme, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate one newly Figure layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default guarantor Region is protected, preliminary Ecological Control line scheme is generated.
In the present embodiment, GIS spatial analytical methods, which refer to multiple geographical map layer datas being laid out, generates a new element The operation of figure layer, new figure layer combine attribute possessed by original multi-layer data.According to Guangdong Province nature reserve area and forbid out Region register is sent out, using GIS spatial analytical methods by main land emphasis nature reserve area, landscape in Cluster of Pearl River Delta Scenic Area, Forest Park and geological park etc. are included in the range of necessary strict protection, and acquired results are referring to Fig. 4, Fig. 4 is The schematic diagram of the space distribution situation in Cluster of Pearl River Delta non-development zones region in first embodiment of the invention.Due to space The relationship of resolution ratio, area is smaller, the scattered protection zone for being distributed in completed region of the city is not included.
Intelligent optimization unit 203, for based on the space optimization model built in advance, according to the ecological suitability analysis As a result with preliminary Ecological Control line scheme, Ecological Control line delimitation is carried out to the survey region using intelligent optimization algorithm, is obtained To the final Ecological Control line scheme of the survey region.
In the present embodiment, further, the intelligent optimization algorithm includes genetic algorithm, simulated annealing and nerve Network;The space optimization model is to be built based on genetic algorithm.
Further, based on the space optimization model built in advance, according to the ecological suitability analysis result and tentatively Ecological Control line scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the research The final Ecological Control line scheme in region, specially:
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line Scheme delimit candidate Ecological Control line scheme;
Indicate the survey region using binary two-dimensional matrix, and will each candidate Ecological Control line scheme code at Item chromosome;
Using intelligent optimization algorithm, and it is taken based on the intersection of patch and Variation mechanism repeatedly changes to every chromosome Selection, intersection and the variation in generation obtain the number of different pixels in the corresponding binary two-dimensional matrix after chiasma makes a variation Value variation, and Ecological Control line delimitation is carried out to the survey region according to the numerical value change of different pixels, obtain the research The final Ecological Control line scheme in region;Wherein,
The probability that every chromosome is selected in iteration selection is directly proportional to itself suitability value;Pixel value is 1 or 0, Wherein, 1 representative needs pixel to be protected, and 0 represents other pixels;The quantity of different pixel values is to be adjusted according to suitability value To meet the area requirements of Ecological Control line.
In the present embodiment, intelligent optimization algorithm refers to foundation on the basis of biological intelligence or natural process, for solving most The random search algorithm of optimization problem includes mainly genetic algorithm, simulated annealing, neural network.This meeting embodiment utilizes Genetic algorithm (Genetic algorithm, GA) builds land utilization space Optimized model, because genetic algorithm can be with matrix Form easily and effectively reflects the space structure of geographic area.Genetic algorithm is put forward for the first time by John Holland, is based primarily upon Darwinian " natural selection " and " survival of the fittest " is theoretical, is highly suitable for solving the complicated optimum problem of each subject.The something lost Propagation algorithm is a kind of probability search method of overall importance, randomly generates a certain number of chromosomes (initial solution) first, then passes through Selection, intersection and the mutation operation to iterate improves current solution, until searching satisfied solution.In intelligent optimization algorithm In, interative computation process has used for reference evolutionary mechanism similar with living nature, from one group of solution, by be similar to generative propagation and The mode of natural selection realizes the survival of the fittest, on the basis of heredity existing excellent genes, generates with more preferable performance indicator The group of next generation's solution.
It should be noted that in the implementation of the Ecological Control line demarcation method of the intelligent interactive, each candidate's Ecological Control line scheme can all be coded as a chromosome, that is to say, that entire survey region can be random using one The binary two-dimensional matrix of initialization indicates (" 1 ", which represents, needs pixel to be protected, and " 0 " represents other pixels).Genetic algorithm passes through The process of the selection of successive ignition, intersection and variation gradually obtains the Ecological Control line scheme of near-optimization.In iteration each time In the process, generated first from selective staining body breeding in previous generation individuals it is next-generation, the selected probability of every chromosome and its Itself suitability value is directly proportional.Elite retention strategy is taken simultaneously, ensures all remain into per the optimal chromosome of a generation next Generation.
In addition, in order to generate more compact complete Ecological Control line scheme as far as possible, the present embodiment is also taken based on spot The intersection and Variation mechanism of block.Wherein intersect step and selectes several 3 × 3 the window's positions in two-dimensional matrix at random, it is then double Close chromosome intercourses the pixel in window.Similar therewith, variation step also selectes several 3 × 3 the window's positions, root at random Pixel value whole variation in the window is " 1 " by the neighborhood pixel situation according to each window or whole variations are " 0 ".If dye Colour solid pixel quantity of protection zone after cross and variation changes, then changes the picture of respective numbers at random according to suitability value First value is to meet area requirements.
The crossover probability of Common Genetic Algorithm is generally higher and mutation probability is relatively low, however described in this present embodiment Space optimization model needs to intersect simultaneously and mutation process finds greater compactness of individual, therefore high point should be also arranged in mutation probability It is solved with facilitating.In addition, it is the planar how established suitable for elastic section that space optimization, which studies another problem to be solved, Optimized model, the usually less elastic scale issue considered in practical eco-environmental management of existing model.If needing to delimit 2000 square kilometres of Ecological Control line, scale may all be rational in ± 100 square kilometres of elastic range.It compares Other methods, this model can highly desirable handle this problem.
It should be noted that after MATLAB platform construction space optimization models, handed over using the intelligence described in the present embodiment The Ecological Control line demarcation method of mutual formula carries out Cluster of Pearl River Delta Ecological Control line according to ecological suitability analysis result It delimit.To ensure stablizing relatively for optimum results, averagely it is used as final optimization pass result using ten times and shows in Figure 5, please join Fig. 5 is read, Fig. 5 is the Zhujiang River triangle that the Ecological Control line demarcation method in first embodiment of the invention according to intelligent interactive divides The schematic diagram of continent Ecological Control knot fruit.It can be found that the higher land resource of Ecological Suitability value is all received substantially from Fig. 5 Enter within the scope of Ecological Control line.In order to be compared and analyzed with above-mentioned division result, the present embodiment also takes previous research universal The Ecological Control line of the non intelligent interactive mode used delimit thinking, i.e., directly utilizes the genetic algorithm planar space of above-mentioned structure excellent Change model and search out optimal Ecological Control line scheme based on same ecological suitability analysis result, displaying in figure 6, please be joined Fig. 6 is read, Fig. 6 is the Zhujiang River three that the Ecological Control line demarcation method in first embodiment of the invention according to non intelligent interactive mode divides The schematic diagram of angle continent Ecological Control knot fruit.From Fig. 6 it can be found that the Ecological Control line demarcation method of non intelligent interactive mode not Can mutually it be connected with existing ecological environmental protection planning well, it is difficult to which the phenomenon that avoiding the occurrence of " more rule " conflict usually can not It is applied in actual life.
A kind of Ecological Control line of intelligent interactive provided in this embodiment delimit device, by selecting survey region, and Ecological suitability analysis is carried out to the key element of the survey region, obtains the spatial data of the key element and according to institute It states spatial data and generates ecological suitability analysis result;Using GIS spatial analytical methods, the default protection of the survey region is identified Region, and according to the default protection zone, generate preliminary Ecological Control line scheme;Based on the space optimization mould built in advance Type, according to the ecological suitability analysis result and preliminary Ecological Control line scheme, using intelligent optimization algorithm to the research Region carries out Ecological Control line delimitation, obtains the final Ecological Control line scheme of the survey region.The present embodiment can be objective Ground carries out Ecological Control line delimitation, while considering Ecological Suitability and pattern compactness, and can rationally and effectively will be ecological Control line scheme is connected and is coordinated with existing ecosystem environment management achievement, be more convenient for actual ecomanagement and monitoring, can More effectively to maintain the integrity and stability of the ecosystem.The present embodiment has higher operability and universality, right All kinds of ecological plannings work in reality has stronger practical advice meaning.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art For, without departing from the principle of the present invention, several improvement and deformations can also be made, these improvement and deformations are also considered as Protection scope of the present invention.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the program can be stored in a computer read/write memory medium In, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, the storage medium can be magnetic Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..

Claims (10)

1. a kind of Ecological Control line demarcation method of intelligent interactive, which is characterized in that include the following steps:
Selected survey region, and Ecological Suitability point is carried out to the key element of the survey region according to criteria decision-making method Analysis obtains the spatial data of the key element, and generates ecological suitability analysis result according to the spatial data;
Using GIS spatial analytical methods, the default protection zone of the survey region is identified, and according to the default protection zone, Generate preliminary Ecological Control line scheme;
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line side Case carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains the most lifelong of the survey region State control line scheme.
2. the Ecological Control line demarcation method of intelligent interactive according to claim 1, which is characterized in that described to be critical to Element includes net primary productivity, habitat diversification, terrain slope, soil attribute and away from water body distance;The spatial data is The key element is quantified, and normalizes to the data in the range of [0,1].
3. the Ecological Control line demarcation method of intelligent interactive according to claim 1, which is characterized in that according to the sky Between data generate ecological suitability analysis as a result, be specially:
Using criteria decision-making method, linear weighted function is carried out to the corresponding spatial data of each key element, it is suitable to obtain ecology Property analysis result;The ecological suitability analysis result includes suitability value.
4. the Ecological Control line demarcation method of intelligent interactive according to claim 1, which is characterized in that empty using GIS Between analytic approach, identify the default protection zone of the survey region, and according to the default protection zone, generate preliminary ecology control Line scheme processed, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate a new figure Layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default protection zone Domain generates preliminary Ecological Control line scheme.
5. the Ecological Control line demarcation method of intelligent interactive according to claim 1, which is characterized in that the intelligence is excellent It includes genetic algorithm, simulated annealing and neural network to change algorithm;The space optimization model is to be built based on genetic algorithm.
6. the Ecological Control line demarcation method of intelligent interactive according to claim 1, which is characterized in that be based on advance structure The space optimization model built, according to the ecological suitability analysis result and preliminary Ecological Control line scheme, using intelligent optimization Algorithm carries out Ecological Control line delimitation to the survey region, obtains the final Ecological Control line scheme of the survey region, has Body is:
Based on the space optimization model built in advance, according to the ecological suitability analysis result and preliminary Ecological Control line side Case delimit candidate Ecological Control line scheme;
The survey region is indicated using binary two-dimensional matrix, and by each candidate Ecological Control line scheme code at one Chromosome;
Using intelligent optimization algorithm, and it is taken based on the intersection of patch and Variation mechanism carries out successive ignition to every chromosome Selection intersects and makes a variation, and the numerical value for obtaining different pixels in the corresponding binary two-dimensional matrix after chiasma makes a variation becomes Change, and Ecological Control line delimitation is carried out to the survey region according to the numerical value change of different pixels, obtains the survey region Final Ecological Control line scheme;Wherein,
The probability that every chromosome is selected in iteration selection is directly proportional to itself suitability value;Pixel value is 1 or 0, wherein 1 representative needs pixel to be protected, and 0 represents other pixels;The quantity of different pixel values is to be adjusted with full according to suitability value The area requirements of sufficient Ecological Control line.
7. a kind of Ecological Control line of intelligent interactive delimit device, which is characterized in that including:
Ecological suitability analysis unit, for selecting survey region, and according to criteria decision-making method to the survey region Key element carries out ecological suitability analysis, obtains the spatial data of the key element, and generate according to the spatial data Ecological suitability analysis result;
Spatial analysis unit identifies the default protection zone of the survey region for using GIS spatial analytical methods, and according to The default protection zone generates preliminary Ecological Control line scheme;
Intelligent optimization unit, for based on the space optimization model built in advance, according to the ecological suitability analysis result and Preliminary Ecological Control line scheme carries out Ecological Control line delimitation to the survey region using intelligent optimization algorithm, obtains described The final Ecological Control line scheme of survey region.
8. the Ecological Control line of intelligent interactive according to claim 7 delimit device, which is characterized in that described to be critical to Element includes net primary productivity, habitat diversification, terrain slope, soil attribute and away from water body distance;The spatial data is The key element is quantified, and normalizes to the data in the range of [0,1].
9. the Ecological Control line of intelligent interactive according to claim 7 delimit device, which is characterized in that empty using GIS Between analytic approach, identify the default protection zone of the survey region, and according to the default protection zone, generate preliminary ecology control Line scheme processed, specially:
Using GIS spatial analytical methods, multiple geographical map layer datas of the survey region are laid out, generate a new figure Layer;New figure layer includes attribute possessed by multiple geographical map layer datas;
According to the attribute of the new figure layer, the default protection zone of the survey region is identified, and according to the default protection zone Domain generates preliminary Ecological Control line scheme.
10. the Ecological Control line of intelligent interactive according to claim 7 delimit device, which is characterized in that the intelligence Optimization algorithm includes genetic algorithm, simulated annealing and neural network;The space optimization model is based on genetic algorithm structure It builds.
CN201810169664.9A 2018-02-28 2018-02-28 A kind of the Ecological Control line demarcation method and device of intelligent interactive Pending CN108304576A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810169664.9A CN108304576A (en) 2018-02-28 2018-02-28 A kind of the Ecological Control line demarcation method and device of intelligent interactive

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810169664.9A CN108304576A (en) 2018-02-28 2018-02-28 A kind of the Ecological Control line demarcation method and device of intelligent interactive

Publications (1)

Publication Number Publication Date
CN108304576A true CN108304576A (en) 2018-07-20

Family

ID=62849146

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810169664.9A Pending CN108304576A (en) 2018-02-28 2018-02-28 A kind of the Ecological Control line demarcation method and device of intelligent interactive

Country Status (1)

Country Link
CN (1) CN108304576A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460294A (en) * 2018-10-13 2019-03-12 中国人民解放军战略支援部队信息工程大学 A kind of reconfigurable task layout method based on area-efficient and dynamic genetic algorithm
CN112417962A (en) * 2020-10-20 2021-02-26 中国环境科学研究院 Real-time monitoring method and system for personnel activity track in land type natural protection area

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103136707A (en) * 2013-03-26 2013-06-05 武汉大学 Layering collocation method of land utilization
CN103150614A (en) * 2013-03-26 2013-06-12 武汉大学 Automatic configuration method for land utilization space
CN103577897A (en) * 2013-11-14 2014-02-12 武汉大学 Population initialization method for intelligent land utilization space layout optimization
CN103853907A (en) * 2012-12-05 2014-06-11 中国科学院城市环境研究所 Method for compositely evaluating ecological suitability of urban multifunctional land based on GIS (Geographic Information System)

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103853907A (en) * 2012-12-05 2014-06-11 中国科学院城市环境研究所 Method for compositely evaluating ecological suitability of urban multifunctional land based on GIS (Geographic Information System)
CN103136707A (en) * 2013-03-26 2013-06-05 武汉大学 Layering collocation method of land utilization
CN103150614A (en) * 2013-03-26 2013-06-12 武汉大学 Automatic configuration method for land utilization space
CN103577897A (en) * 2013-11-14 2014-02-12 武汉大学 Population initialization method for intelligent land utilization space layout optimization

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DIANFENG LIU,WENWU TANG,ETAL.: "Optimal rural land use allocation in central China: Linking the effect of spatiotemporal patterns and policy interventions", 《APPLIED GEOGRAPHY》 *
文胜欢,师学义等: "基于GIS空间分析法的土地利用功能分区研究", 《资源与产业》 *
胡宗杰: ""多目标下的城市土地资源空间优化配置方法研究"", 《中国优秀硕士学位论文全文数据库》 *
苏雷,朱京海等: "GIS支持下的锦州葫芦岛沿海土地生态适宜性评价", 《水土保持研究》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460294A (en) * 2018-10-13 2019-03-12 中国人民解放军战略支援部队信息工程大学 A kind of reconfigurable task layout method based on area-efficient and dynamic genetic algorithm
CN112417962A (en) * 2020-10-20 2021-02-26 中国环境科学研究院 Real-time monitoring method and system for personnel activity track in land type natural protection area
CN112417962B (en) * 2020-10-20 2024-02-27 中国环境科学研究院 Real-time monitoring method and system for personnel activity track in land type natural protection area

Similar Documents

Publication Publication Date Title
Brown et al. Spatial process and data models: Toward integration of agent-based models and GIS
Cova et al. Modelling community evacuation vulnerability using GIS
Schmitz et al. Conserving biodiversity: practical guidance about climate change adaptation approaches in support of land-use planning
White et al. High-resolution integrated modelling of the spatial dynamics of urban and regional systems
Nikolakaki A GIS site-selection process for habitat creation: estimating connectivity of habitat patches
Arsanjani Dynamic land use/cover change modelling: Geosimulation and multiagent-based modelling
CN106780089B (en) Permanent basic farmland planning method based on neural network cellular automaton model
Huang et al. Sustainable land-use planning for a downtown lake area in central China: Multiobjective optimization approach aided by urban growth modeling
Ballestores Jr et al. An integrated parcel-based land use change model using cellular automata and decision tree
Dai et al. Agent-based model of land system: Theory, application and modelling framework
CN108304576A (en) A kind of the Ecological Control line demarcation method and device of intelligent interactive
Yang et al. A multitarget land use change simulation model based on cellular automata and its application
CN110222133A (en) A kind of multiclass land use simulating and predicting method and device considering landscape index
Baldwin et al. Modeling ecoregional connectivity
Shao et al. An improved artificial bee colony-based approach for zoning protected ecological areas
Taillandier et al. Simulating Urban Growth with Raster and Vector models: A case study for the city of Can Tho, Vietnam
Wright ISIS: Toward an integrated spatial information system
Al-Ahmadi Modelling driving forces of urban growth with fuzzy sets and GIS
Stewart et al. A framework for systematic marine reserve design in South Australia: a case study
Sudhira et al. Framework for integration of agent-based and cellular automata models for dynamic geospatial simulations
Jiménez-López et al. Artificial neural networks in the application of the growth of the urban sprawl
Arsanjani Dynamic land use/cover change modelling: geosimulation and agent-based modelling
CN109145069A (en) Network icon basic theory and method
CN108491593A (en) A kind of landscape pattern optimizing method and system based on shuffled frog leaping algorithm
CN113505948B (en) Future ecological security pattern prediction and optimization method based on Bayesian network

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180720