Green space network planning method and device based on ecosystem service cluster

Abstract

The embodiment of the invention provides a green space network planning method and device based on an ecological system service cluster. The method comprises the following steps: acquiring related basic data used for calculating ecosystem service in a planning area; based on the related basic data, evaluating an ecological system service of the planning area to obtain an evaluation result of each planning unit in the planning area; performing clustering analysis in the planning area on the evaluation results of the plurality of planning units to obtain the type and spatial distribution of the ecosystem service cluster; determining an ecological source land and the type of the ecological source land based on the green space in the planning area and the type and spatial distribution of the ecological system service cluster; on the basis of the type of the ecological source land, galleries between the ecological source lands of the same type are directly constructed to form a green space network, and the combined action of the ecological source lands of the same type in the green space network on the same dominant service function is enhanced.

Description

Technical Field

[0001] The embodiments of the present application relate to the technical field of ecological planning, and in particular to a green space network planning method and device based on ecosystem service clusters. Background Art

[0002] Green spaces provide people with a variety of ecosystem services, and the planning of green space networks is crucial to protecting the sustainable supply of multiple ecosystem services.

[0003] The green space network is mainly composed of ecological sources and corridors. The identification of ecological sources is a key step in the process of planning the green space network. Generally, existing nature reserves, large forest parks, natural water bodies and other ecological spaces can be directly used as ecological sources; or, a comprehensive analysis of multiple ecological indicators, landscape indexes, ecosystem services, etc. of ecological spaces can be conducted to determine ecological spaces with high comprehensive protection value as ecological sources.

[0004] At present, the identification of ecological sources is mainly based on the comprehensive value of the ecosystem, and there is a lack of judgment on the dominant service functions of each ecological source, which affects the direct construction of corridors between ecological sources of the same type and the joint effect of the same dominant service functions. Summary of the invention

[0005] In view of this, an embodiment of the present application provides a green space network planning method and device based on an ecosystem service cluster to at least solve or alleviate the above-mentioned problems.

[0006] According to a first aspect of an embodiment of the present application, a green space network planning method based on an ecosystem service cluster is provided, the method comprising:

[0007] Obtain relevant basic data for calculating ecosystem services in the planning area; the planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis;

[0008] Based on the relevant basic data, the ecosystem services of the planning area are evaluated to obtain evaluation results of each planning unit;

[0009] Performing cluster analysis on the evaluation results of the N planning units within the planning area to obtain the type and spatial distribution of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by the planning units, the types of the ecosystem service clusters are determined by the characteristics of the ecosystem service combinations, and are used to characterize the dominant service functions of the space;

[0010] Determine the ecological source and the type of the ecological source based on the green space in the planning area and the type and spatial distribution of the ecosystem service cluster;

[0011] Based on the types of ecological sources, corridors between ecological sources of the same type are constructed to form a green space network.

[0012] According to a second aspect of an embodiment of the present application, a green space network planning device based on an ecosystem service cluster is provided, the device comprising:

[0013] An acquisition module, used for acquiring relevant basic data for calculating ecosystem services in a planning area; the planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis;

[0014] An evaluation module, used to evaluate the ecosystem services of the planning area based on the relevant basic data, and obtain evaluation results of each planning unit;

[0015] A cluster analysis module, used to perform cluster analysis on the evaluation results of the N planning units within the planning area to obtain the type and spatial distribution of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by the planning units, the types of the ecosystem service clusters are determined by the characteristics of the ecosystem service combinations, and are used to characterize the dominant service functions of the space;

[0016] A determination module, configured to determine an ecological source and the type of the ecological source based on the green space in the planning area and the type and spatial distribution of the ecosystem service cluster;

[0017] The construction module is used to construct corridors between ecological sources of the same type based on the type of the ecological source to form a green space network.

[0018] According to a third aspect of an embodiment of the present application, there is provided an electronic device comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the green space network planning method based on ecosystem service clusters provided in the first aspect above.

[0019] According to a fourth aspect of an embodiment of the present application, a computer storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the green space network planning method based on ecosystem service clusters described in the first aspect above is implemented.

[0020] According to a fifth aspect of an embodiment of the present application, a computer program product is provided, comprising computer instructions, wherein the computer instructions instruct a computing device to execute the green space network planning method based on ecosystem service clusters described in the first aspect above.

[0021] According to the green space network planning method based on ecosystem service clusters provided in the embodiment of the present application, in the process of planning a green space network in a region, relevant basic data for calculating ecosystem services in the planning region are obtained, the ecosystem services of the planning region are evaluated based on these relevant basic data, the planning region is divided into planning units, and the ecosystem service evaluation results of each planning unit are obtained by extraction. Cluster analysis is performed on the evaluation results of multiple planning units in the planning region, and the ecosystem service combinations provided by the planning units are clustered to obtain ecosystem service clusters, and the types and spatial distribution of ecosystem service clusters are determined. The dominant service functions in the ecosystem service combinations provided by the planning units are characterized by the types of ecosystem service clusters, and then the types and spatial distribution of ecosystem service clusters are used to determine the types of ecological sources and ecological sources in the green space, and corridors are directly constructed between ecological sources of the same type, so as to enhance the common effect of ecological sources of the same type in the green space network on the same dominant service functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0023] Figure 1 is a schematic diagram of an exemplary system used in one embodiment of the present application;

[0024] Figure 2 is a flow chart of a green space network planning method based on ecosystem service clusters according to an embodiment of the present application;

[0025] Figure 3 is a flow chart of a green space network planning method based on ecosystem service clusters according to an embodiment of the present application;

[0026] Figure 4 is a flow chart of a green space network planning method based on ecosystem service clusters according to an embodiment of the present application;

[0027] Figure 5 is a schematic diagram of a green space network planning process according to an embodiment of the present application;

[0028] Figure 6is a schematic diagram of a green space network planning device based on ecosystem service clusters according to an embodiment of the present application;

[0029] Figure 7 It is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] The present application is described below based on embodiments, but the present application is not limited to these embodiments. In the detailed description of the present application below, some specific details are described in detail. It is possible for a person skilled in the art to fully understand the present application without the description of these details. In order to avoid confusing the essence of the present application, known methods, processes, and flows are not described in detail. In addition, the drawings are not necessarily drawn to scale.

[0031] First, some nouns or terms that appear in the process of describing the embodiments of the present application are subject to the following explanations.

[0032] Green space refers to ecological space and land in production and living space that has ecological environment protection and ecosystem service functions, including green space systems within built-up areas and urban ecological space outside built-up areas. It plays an important role in improving the regional ecological environment and maintaining the material and energy cycle of the ecosystem.

[0033] A corridor refers to a line with a linear or strip layout. The corridor in this application has the ability to connect ecological units that are relatively isolated and dispersed in spatial distribution. Corridors include at least one of ecological corridors and greenways.

[0034] Ecological corridors refer to the spatial type of ecosystems that are linear or strip-shaped in the ecological environment and can connect relatively isolated and dispersed ecological units in spatial distribution. They can meet the diffusion, migration and exchange of species, and are the key carriers for maintaining the effective flow of ecological functions between sources. They are also an important part of building a complete ecosystem of mountains, rivers, forests, fields, lakes and grasslands in the region. Among them, biological corridors are one type of ecological corridors.

[0035] A greenway is a linear green open space, usually built along natural and artificial corridors such as riversides, valleys, ridges, and scenic roads, with landscape recreation routes accessible to pedestrians and cyclists.

[0036] Ecological source areas refer to habitat patches that play a decisive role in regional ecological processes and functions, are of great significance to regional ecological security, or have important radiation functions. These patches are key plots to ensure regional ecological security. For example, nature reserves, forest parks, natural water bodies, etc. are ecological source areas.

[0037] The green space network is composed of various open spaces and natural areas, including greenways, wetlands, parks, forests, native vegetation, ecological corridors, etc. These elements form an interconnected and organically unified network system. For example, greenways and / or ecological corridors connect and communicate with relatively scattered ecological sources such as wetlands, forests, native vegetation, nature reserves, natural water bodies, etc., forming a green space network.

[0038] Exemplary Systems

[0039] Figure 1 An exemplary computer system is shown, which includes an electronic device 101 and a server 102 .

[0040] The electronic device 101 has an application installed and running, and the application is applicable to the green space network planning method based on ecosystem service clusters provided in the embodiment of the present application. For example, the application includes R software.

[0041] The electronic device 101 is connected to the server 102 via a wireless network or a wired network. The server 102 includes at least one of a single server, multiple servers, a cloud computing platform, and a virtualization center. The server 102 is used to support the operation of applications on the electronic device, that is, to provide background services for the applications running on the electronic device 101. Optionally, the server 102 undertakes the main computing work, and the electronic device 101 undertakes the secondary computing work; or, the server 102 undertakes the secondary computing work, and the electronic device 101 undertakes the main computing work; or, the server 102 and the electronic device 101 adopt a distributed computing architecture for collaborative computing.

[0042] The server 102 has storage capabilities and can also provide storage functions for the electronic device 101. For example, the collected basic data for calculating ecosystem services can be stored on the server 102, and the electronic device 101 can obtain the above-mentioned basic data from the server 102 when executing the green space network planning method based on the ecosystem service cluster.

[0043] Green space network planning method based on ecosystem service clusters

[0044] Based on the above system, an embodiment of the present application provides a green space network planning method based on an ecosystem service cluster. The method can be executed by the electronic device in the above system embodiment. The method is described in detail through multiple embodiments below.

[0045] Figure 2 FIG. 1 is a flow chart of a green space network planning method based on ecosystem service clusters according to an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0046] Step 201, obtaining relevant basic data for calculating ecosystem services in a planning area, where the planning area includes N planning units.

[0047] The planning area refers to the area where the green space network planning is implemented. The relevant basic data for calculating ecosystem services in the planning area are collected in advance and stored in a device with storage function, such as directly storing the data in the memory of the electronic device or using cloud storage to store the data. In the process of planning the green space network, the required relevant basic data are read from the data storage device.

[0048] Ways to obtain the above-mentioned relevant basic data include, but are not limited to: obtaining through data acquisition equipment; and / or obtaining from open source data websites; and / or obtaining through interfaces reserved by external platforms with which we have cooperative relationships.

[0049] Optionally, the relevant basic data includes at least one of the following:

[0050] Land use or land cover data; elevation data; precipitation data; temperature data; evapotranspiration data; soil type data; socio-economic data.

[0051] Land use data is data that reflects the status, characteristics, dynamic changes, and distribution characteristics of land use systems and land use elements, as well as human development and utilization, governance and transformation, management and protection, and land use planning. Land cover data is the soil and vegetation information in topographic maps, mainly including: urban construction land, agricultural land, forest land, grassland, water bodies, wetlands, grasslands, glaciers and snow, barren land, etc.

[0052] Elevation data refers to data that describes the height information of the earth's surface. It provides the numerical value of the surface elevation by measuring the surface height or recording the terrain features. Elevation data usually refers to the distance from a point along the plumb line to the absolute base plane, that is, the altitude. In most cases, positive values ​​of elevation data represent areas above sea level, and negative values ​​represent areas below sea level or the vertical base plane.

[0053] Precipitation refers to the depth of liquid or solid (after melting) water that falls from the sky to the ground within a certain period of time, without evaporation, infiltration, or loss, but accumulates on the horizontal surface. The temperature data in the embodiment of the present application refers to the air temperature. Evapotranspiration data refers to the total water consumption of soil evaporation and plant transpiration. Soil category refers to the classification of soil according to the regional environment and soil properties. Socioeconomic data refers to the names and values ​​that reflect the quantitative aspects of certain socioeconomic phenomena; among them, socioeconomic data may include but are not limited to: road data and point of interest data (POI).

[0054] There are differences in the data at different spatial locations within the planning area. Therefore, the relevant basic data is a series of relevant basic data distributed at the spatial locations of the planning area. For example, each data includes the data values ​​distributed at each spatial location of the planning area.

[0055] The planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis. Optionally, the planning units are obtained by dividing the planning area, and a fishing net grid can be used as a division unit, or a small watershed boundary vector data can be used as a division unit, or an administrative boundary vector data can be used as a division unit.

[0056] A planning unit is regarded as a sample. The minimum sample size refers to the minimum number of planning units. The value of N is equal to or greater than the minimum sample size to ensure that there are a sufficient number of planning units to facilitate the subsequent cluster analysis. For example, if the minimum sample size is 100, the value of N can be equal to or greater than 100. The minimum sample size can be a predefined minimum sample size for scenarios such as network planning of green space, or it can be a user-defined minimum sample size for the network planning of this green space. Exemplarily, the minimum sample size can be defined based on the number of clusters, such as the minimum sample size is not less than twice the number of clusters. In the embodiment of the present application, the number of clusters refers to the number of types of ecosystem service clusters obtained by clustering. While ensuring that the number of planning units is sufficient, the size of the planning unit and / or the number of planning units are determined according to the area of ​​the planning area and the data resolution; alternatively, the size of the planning unit and / or the number of planning units can be set in advance.

[0057] Taking the fishing net grid as the planning unit as an example, the size of the grid is preset to 3km×3km, where km means kilometer, and the planning area is divided into about 20,000 grid units. The size of the fishing net grid can also be 30m×30m, or 1km×1km, etc., depending on the area of ​​the planning area and the data resolution, to ensure that there are enough grid units.

[0058] Step 202, based on relevant basic data, evaluate the ecosystem services of the planning area and obtain the evaluation results of each planning unit.

[0059] Ecosystem services refer to all the benefits that humans obtain from ecosystems, including: provisioning services, such as the provision of food and water; regulating services, such as flood and disease control; cultural services, such as spiritual, recreational and cultural values; and supporting services, such as the nutrient cycle that maintains the Earth's living environment.

[0060] Exemplarily, supporting services include soil formation, biogeochemical cycle, water cycle, habitat quality and biodiversity. Regulating services include air quality regulation, climate regulation, soil and water conservation, water purification, biological control, pollination, rainwater retention, etc. Cultural services include cultural diversity, spiritual and recreational value, knowledge system, educational value, inspiration, aesthetic value, cultural heritage value, leisure tourism, etc. Supply services include the supply of food, fiber, timber, biofuels, ornamental and environmental plants, genetic gene pool, freshwater resources, water production, etc.

[0061] For the evaluation of ecosystem services, various models or algorithms can be called to perform. Exemplarily, the models or algorithms that can be called include, but are not limited to: at least one of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, the Revised Universal Soil Loss Equation (RUSLE), the Maximum Entropy Model (MaxEnt), and the Recreation Opportunity Spectrum (ROS).

[0062] For example, with relevant basic data as input, the InVEST model is called to calculate the evaluation result of at least one parameter: carbon storage, water production, rainwater retention capacity, cooling island benefit, and habitat quality. Among them, carbon storage, rainwater retention capacity, and cooling island benefit are parameters related to regulation services, and water production is a parameter related to supply services; RUSLE is called to calculate the evaluation result of soil conservation; MaxEnt is called to calculate the evaluation result of biodiversity; and ROS is called to calculate the evaluation result of recreational opportunities.

[0063] The evaluation of ecosystem services can also be carried out using statistical methods, for example, by calculating food production by consulting statistical yearbooks.

[0064] After evaluating the ecosystem services of the planning area, the evaluation results of the planning area are obtained. The evaluation results of the planning area represent the evaluation results at various spatial locations of the planning area. For example, they can be represented in the form of a graph. Based on the evaluation results at the spatial locations contained in each planning unit, the evaluation results of each planning unit are determined. For example, the mean or weighted value of multiple evaluation results at the spatial locations contained in each planning unit can be extracted as the evaluation result of each planning unit.

[0065] If the evaluation results of the extracted planning unit include evaluation data of multiple ecosystem services, it is necessary to standardize the multiple evaluation data.

[0066] Step 203 , cluster analysis is performed on the evaluation results of the N planning units within the planning area to obtain the types and spatial distribution of ecosystem service clusters.

[0067] Ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by planning units. The types of ecosystem service clusters are determined by the characteristics of the ecosystem service combinations and are used to characterize the dominant service functions of the space.

[0068] An ecosystem service combination is composed of at least two types of ecosystem services. For example, regulating services and recreational services can be regarded as one type of ecosystem service combination, and regulating services, supporting services and supply services can be regarded as another type of ecosystem service combination. If the types of ecosystem services included in the ecosystem service combinations are different, it means that the ecosystem service combinations are different. For example, the two types of ecosystem service combinations mentioned above are different. And / or, each type of ecosystem service is composed of at least one service of the same type. If the ecosystem service combinations have the same type of ecosystem services and the ecosystem services contain different service compositions, it means that the ecosystem service combinations are different. For example, the first type of ecosystem service combination includes regulating services including soil and water conservation and climate regulation, and supply services including wood. The second type of ecosystem service combination includes regulating services including soil and water conservation and water purification, and supply services including food. The first and second types of ecosystem service combinations belong to different combinations.

[0069] The cluster analysis of the evaluation results of N planning units within the planning area can be based on the similarity of the types of ecosystem services in the ecosystem service portfolio; or based on the similarity of the types of ecosystem services in the ecosystem service portfolio and the similarity of the service composition of each ecosystem service; or based on the similar attributes or trade-off synergy of ecosystem services between ecosystem service portfolios.

[0070] After clustering, the first thing we get is the ecosystem service cluster, which refers to the repeated clustering of ecosystem services in space, and is the clustering of services with similar attributes or trade-off synergy. We cluster the evaluation results of N planning units and get at least one type of ecosystem service cluster. Furthermore, we analyze the characteristics of the ecosystem service combination within each type of ecosystem service cluster to determine the type of ecosystem service cluster; and map the ecosystem service cluster to the space of the planning area to get the spatial distribution of the ecosystem service cluster.

[0071] Exemplarily, the K-means clustering algorithm can be called to identify and divide ecosystem service clusters with similar ecosystem service compositions. First, the optimal number of clusters is determined by the fviz_nbclust function of the "factoextra" package in the R software, and then the K-means clustering algorithm built into the R software is used to perform cluster analysis on multiple (i.e., two or more) evaluation results, that is, to obtain at least one type of ecosystem service cluster. Secondly, the analyzed ecosystem service clusters are integrated into the space through the Arc Geographic Information System (Arc Geographic Information System, ArcGIS) mapping to obtain the spatial distribution of the ecosystem service clusters; by statistical means, the internal ecosystem service composition characteristics of each type of ecosystem service cluster, i.e., the characteristics of the ecosystem service combination, are obtained, and the type of the ecosystem service cluster is analyzed based on the characteristics. Among them, the type of the ecosystem service cluster can be represented by the dominant service function of the ecosystem service combination. For example, the dominant service function of the ecosystem service combination is the regulation service, and the type of the corresponding ecosystem service cluster is the regulation service. Optionally, the type of the ecosystem service cluster includes but is not limited to at least one of the following: support service, regulation service, cultural service, supply service, and biodiversity. An ecosystem service cluster of regulating services can be called a regulating services cluster, an ecosystem service cluster of cultural services can be called a cultural services cluster, an ecosystem service cluster of biodiversity can be called a biodiversity cluster, and so on.

[0072] In the embodiments of the present application, the order of determining the type and spatial distribution of the ecosystem service cluster is not limited. The type of the ecosystem service cluster may be determined first, and then the spatial distribution of the ecosystem service cluster may be determined; the spatial distribution of the ecosystem service cluster may be determined first, and then the type of the ecosystem service cluster may be determined; or the two steps of determining the type of the ecosystem service cluster and determining the spatial distribution of the ecosystem service cluster may be performed simultaneously.

[0073] Step 204, based on the types and spatial distribution of green spaces and ecosystem service clusters within the planning area, determine the ecological source and the type of ecological source.

[0074] The planning area includes green space. Based on the type and spatial distribution of ecosystem service clusters, ecological sources are identified in the green space. For example, the spatial distribution of ecosystem service clusters and the green space in the planning area are overlaid, and the green space in the area where the ecosystem service clusters are distributed is determined as the ecological source; and the type of ecosystem service cluster corresponding to the ecological source is determined as the type of ecological source. For example, an ecological source of regulating services can be called a regulating service source, an ecological source of biodiversity can be called a biological protection source, an ecological source of cultural services can be called a cultural service source, and so on.

[0075] Step 205, based on the type of ecological source, construct corridors between ecological sources of the same type to form a green space network.

[0076] Based on the type of ecological source, the ecological source is divided into groups, and ecological sources of the same type are divided into the same group to obtain at least one group, and corridors are constructed for ecological sources of the same type in each group to form a green space network. Optionally, the corridor includes at least one of an ecological corridor and a greenway.

[0077] In summary, the green space network planning method based on ecosystem service clusters provided in this embodiment obtains relevant basic data in the planning area during the process of planning a green space network in a region, evaluates the ecosystem services in the planning area based on these relevant basic data, divides the planning area into planning units, obtains the ecosystem service evaluation results of each planning unit by extraction, performs cluster analysis on the evaluation results of multiple planning units in the planning area, clusters the ecosystem service combinations provided by the planning units to obtain ecosystem service clusters, determines the types and spatial distribution of ecosystem service clusters, characterizes the dominant service functions in the ecosystem service combinations provided by the planning units through the types of ecosystem service clusters, and then determines the types of ecological sources and ecological sources in the green space by using the types and spatial distribution of ecosystem service clusters, directly constructs corridors between ecological sources of the same type, and enhances the common effect of ecological sources of the same type in the green space network on the same dominant service functions.

[0078] In order to more accurately identify ecological sources, relevant data from multiple time periods can be used for analysis to determine areas with strong stability of ecosystem services in green spaces as ecological sources. Based on this, methods for planning green space networks are as follows: Figure 3 As shown, the steps are as follows:

[0079] Step 301: Obtain relevant basic data for calculating ecosystem services in a planning area in each of at least two time periods, where the planning area includes N planning units.

[0080] Step 302, based on the relevant basic data in each time period, evaluate the ecological service system of the planning area in each time period to obtain the evaluation results of each planning unit in each time period.

[0081] Step 303: Perform cluster analysis within the planning area on the evaluation results of the N planning units in each time period to obtain the type and spatial distribution of the ecosystem service cluster in each time period.

[0082] For the identification of ecological sources and ecological nodes, data from multiple time periods are used for analysis, wherein there is no overlap between the time periods in multiple (including two or more) time periods. The duration of the time period can be in units of years, seasons, and months, such as 1 year, 2 years, 3 years, etc. Multiple time periods can be continuous, for example, the first time period is 2000, the second time period is 2001, and the third time period is 2002. Adjacent time periods in multiple time periods can be set at intervals of preset durations, for example, adjacent time periods are set at equal time intervals; and the time interval can be in units of years, for example, 5 years, 10 years, 15 years, etc. Exemplarily, the first time period is 1990, the second time period is 2005, and the third time period is 2020, and the equal time interval between the three time periods is 15 years.

[0083] During the planning process, for each of the multiple time periods, execute Figure 2 Steps 201 to 203 in the illustrated embodiment are performed to obtain the types and spatial distribution of ecosystem service clusters in each time period. For example, the multiple time periods include 1990, 2005, and 2020. The operations shown in steps 201 to 203 are performed for each time period to obtain the types and spatial distribution of ecosystem service clusters in 1990, the types and spatial distribution of ecosystem service clusters in 2005, and the types and spatial distribution of ecosystem service clusters in 2020.

[0084] It should be noted that in the embodiment of the present application, the order of executing the above steps 201 to 203 for multiple time periods is not limited. The data processing for multiple time periods can be executed sequentially; the data processing for multiple time periods can also be performed synchronously; or the data processing for multiple time periods can be executed sequentially or synchronously at each step, as shown in steps 301 to 303 in the present embodiment, that is, the relevant basic data in the planning area for each of the multiple time periods is obtained, and then the ecosystem services of the planning area are evaluated based on the relevant basic data for each time period, and then the evaluation results of each planning unit in the time period are extracted, and then the evaluation results of the N planning units in each time period are clustered within the planning area to obtain the type and spatial distribution of the ecosystem service cluster in the time period.

[0085] In addition, the above step of "determining the ecological source and the type of ecological source based on the types and spatial distribution of green spaces and ecosystem service clusters in the planning area" can be achieved through the following steps 304 to 308.

[0086] Step 304 , overlay analysis is performed on the spatial distribution of the ecosystem service clusters and the green spaces in the planning area to determine the type of ecosystem service cluster corresponding to each green space.

[0087] After obtaining the type and spatial distribution of the ecosystem service cluster, a time period is selected, and based on the spatial distribution of the ecosystem service cluster in the time period, the ecosystem service cluster corresponding to each green space in the planning area is mapped, and further, the type of the ecosystem service cluster corresponding to each green space is determined. The above-mentioned time period can be randomly selected from multiple time periods; or, it can be the first time period among multiple time periods, that is, the time period farthest from the current moment among multiple time periods; or, it can be the last time period among multiple time periods, which can also be called the nearest time period, that is, the time period closest to the current moment among multiple time periods.

[0088] Taking the most recent period as an example, it is necessary to conduct an overlay analysis on the spatial distribution of ecosystem service clusters in the most recent period and the green spaces in the planning area to determine the type of ecosystem service cluster corresponding to each green space. For example, by conducting an overlay analysis in ArcGIS, the ecosystem service clusters and dominant service functions of green spaces at different spatial locations can be obtained.

[0089] Step 305 : determining the type of ecosystem service cluster of each planning unit in each time period based on the spatial distribution of the ecosystem service cluster in each time period.

[0090] For each time period, an overlay analysis of the spatial distribution of ecosystem service clusters and planning areas is conducted to map the ecosystem service clusters of each planning unit in each time period. Furthermore, the type of ecosystem service cluster of each planning unit in each time period is determined.

[0091] After determining the types of ecosystem service clusters of each planning unit in multiple time periods, the change trajectory of the ecosystem service of each planning unit is analyzed to obtain the change trajectory type of each planning unit, so as to accurately identify the ecological source, as shown in the following steps 306 to 307.

[0092] Step 306: Determine the planning unit whose type of ecosystem service cluster has not changed in at least two time periods as a stable planning unit.

[0093] When the types of ecosystem service clusters of a planning unit are consistent over multiple time periods, it is determined that the types of ecosystem service clusters of the planning unit have not changed over multiple time periods, and the planning unit is determined as a stable planning unit.

[0094] Optionally, the change type of the type of ecosystem service cluster of each planning unit in at least two time periods is determined; when the change type is a stable type, the planning unit is determined as a stable planning unit, and the stable type is used to indicate that the type of ecosystem service cluster has not changed in at least two time periods.

[0095] In some embodiments, the change type can be determined by performing spatiotemporal dynamic analysis of the ecosystem service cluster using a stability mapping change trajectory method, thereby determining the change type of each planning unit and deriving a stable planning unit from multiple planning units.

[0096] In other embodiments, for determining the change type, a change parameter corresponding to each planning unit is determined, and the change parameter includes at least one of similarity, number of changes, and diversity; based on the change parameter of each planning unit, the change type of each planning unit is determined. For example, referring to Table 1, if the number of changes of a certain planning unit is calculated to be 0, the planning unit is determined to be a stable planning unit.

[0097] In other embodiments, to determine the change type, first, the types of multiple ecosystem service clusters are numbered; secondly, the evolutionary trajectories of the types of multiple ecosystem service clusters corresponding to each planning unit are represented by the numbers to obtain the evolutionary trajectory code of each planning unit; and the trajectory type corresponding to the evolutionary trajectory code of each planning unit is determined, which is the change type of each planning unit.

[0098] When the spatiotemporal dynamic trajectories of ecosystem service clusters in N time periods need to be analyzed, the calculation formula for the evolution trajectory encoding of the planning unit is as follows:

[0099] C 规划单元 =10 (N-1) ×A1+10 (N-2) ×A2…+10×A N-1 +A N ;

[0100] Where: C 规划单元 Indicates the type of change in the ecosystem service cluster of each planning unit, A1, 10A2, …, A N It represents the type number of the ecosystem service cluster of each planning unit in the 1st period, the 2nd period, …, the Nth period.

[0101] Referring to Table 1, taking the change trajectory of ecosystem service clusters in the three-year timeline of 1990-2005-2020 as an example, the calculation formula for encoding the evolution trajectory of each planning unit is as follows:

[0102] C 规划单元 =100A 1990 +10A 2005 +A 2020 ;

[0103] Where: C 规划单元 represents the type of change in the ecosystem service cluster of each planning unit, A 1990 , 10A 2005 , A 2020 The type number representing the ecosystem service cluster for each planning unit in 1990, 2005, and 2020.

[0104] Table 1 Classification of change trajectories of ecosystem service clusters

[0105] type Stable Gradient Cyclic Fluctuation Typical Examples AAA AAB, ABB ABA ABC Number of changes 0 1 2 2 Diversity 1 2 2 3 Similarity 3 2 2 1

[0106] Exemplarily, the above-mentioned trajectory type can be determined by the correspondence between the preset evolution trajectory code and the trajectory type; or, the change parameters corresponding to each planning unit can be calculated based on the evolution trajectory code of each planning unit, and then the change type of each planning unit can be determined based on the change parameters of each planning unit.

[0107] Among them, the change parameters in the embodiments of the present application include at least one of similarity, number of changes and diversity; among them, similarity refers to the number of times the planning unit experiences the same type of ecosystem service cluster in different time periods; the number of changes refers to the number of times the type of ecosystem service cluster of the planning unit changes between adjacent time periods; diversity refers to the number of types of ecosystem service clusters experienced by the planning unit in at least two time periods.

[0108] Step 307, determining the overlapping space between the stability planning unit and the green space as the ecological source.

[0109] After the change type of each planning unit is determined, the change type of each planning unit can be mapped to the spatial distribution, such as mapping to the space of the planning area through ArcGIS to obtain the spatial distribution of the change type in the planning area; based on the spatial distribution of the change type, the stable area in the planning area is determined; or, the change type of the stable planning unit can be directly mapped to the spatial distribution to determine the stable area in the planning area. Furthermore, the stable area is superimposed with the green space, and the green space where the stable area is located is extracted as the ecological source.

[0110] Step 308: Determine the type of the ecosystem service cluster corresponding to the green space where the ecological source is located as the type of the ecological source.

[0111] After the ecological source is determined, the ecological source is divided into ecological sources with different dominant service functions based on the type of ecosystem service cluster corresponding to the green space where the ecological source is located. For example, the stable green space within the biodiversity cluster, regulating service cluster, and cultural service cluster is respectively designated as biological protection source, regulating service source, cultural service source and other source types.

[0112] Step 309, based on the type of ecological source, construct corridors between ecological sources of the same type to form a green space network.

[0113] Based on the type of ecological source, the ecological source is divided into groups, and ecological sources of the same type are divided into the same group to obtain at least one group, and corridors are constructed for ecological sources of the same type in each group to form a green space network. Optionally, the corridor includes at least one of an ecological corridor and a greenway.

[0114] To sum up, the green space network planning method based on ecosystem service clusters provided in this embodiment can more accurately identify various types of ecological sources from green space through the change trajectory analysis of the ecosystem service clusters of each planning unit, and then directly construct corridors between ecological sources of the same type, thereby enhancing the joint effect of ecological sources of the same type in the green space network on the same dominant service function.

[0115] In the planning process of the green space network, ecological nodes within the planning area can also be identified as “stepping stones” to build corridors between ecological sources. Figure 3 Based on the embodiment shown, identification of ecological nodes is added, and step 309 can be implemented through steps 3091 and 3092, such as Figure 4 The steps are as follows:

[0116] Step 306 ′: determine the planning unit whose type of ecosystem service cluster changes according to a predetermined trajectory in at least two time periods as an unstable planning unit.

[0117] Optionally, the unstable type includes at least one of a gradual type, a periodic type and a fluctuating type.

[0118] If the types of ecosystem service clusters of each planning unit in multiple time periods change according to a predetermined trajectory, the change type of each planning unit can be determined; if the change type is unstable, the planning unit is determined as an unstable planning unit. For example, if the change type is gradual, the planning unit is determined as a gradual planning unit; if the change type is cyclical, the planning unit is determined as a cyclical planning unit; if the change type is fluctuating, the planning unit is determined as a fluctuating planning unit.

[0119] For determining the change type, reference may be made to the determination method described in step 306 , which will not be described in detail here.

[0120] Step 307 ′: determine ecological nodes based on the unstable planning unit.

[0121] After the change type of each planning unit is determined, the change type of the unstable planning unit can be mapped to the spatial distribution to determine the unstable area in the planning area. Furthermore, the unstable area is superimposed with the green space, and the green space where the unstable area is located is extracted as an ecological node.

[0122] In some optional embodiments, step 307 and step 307' may be replaced by the following steps:

[0123] After the change type of each planning unit is determined, the change type of each planning unit can be mapped to the spatial distribution to obtain the spatial distribution of various change types in the planning area. For example, by mapping ArcGIS to the space of the planning area, the spatial distribution of stable, gradual, periodic and fluctuating areas can be obtained; based on the spatial distribution of various change types, the areas of various change types in the planning area are determined. Various change types include stable and unstable types. Accordingly, the areas of each change type include stable areas and unstable areas. The stable areas are superimposed with green spaces, and the green spaces where the stable areas are located are extracted as ecological sources; and the unstable areas are superimposed with green spaces, and the green spaces where the unstable areas are located are extracted as ecological nodes; for example, the gradual, periodic and fluctuating areas are identified as key ecological nodes, and the gradual, periodic and fluctuating areas have important functions such as key conservation, key monitoring, and priority restoration.

[0124] 3091. Based on the type of ecological source, ecological sources of the same type are divided into the same group to obtain at least one group.

[0125] For example, multiple biological protection sources are divided into the first group, multiple regulation service sources are divided into the second group, multiple cultural service sources are divided into the third group, etc.

[0126] 3092, using ecological nodes as the connection points between ecological sources, a green space network is formed for the corridors between ecological sources of the same type in each group.

[0127] The planning of green space network can be realized by calling models or algorithms. For example, the circuit theory model or the minimum cumulative resistance model can be called to build corridors between ecological sources of the same type. The ecological nodes are shared when each group of sources builds corridors to ensure that each group of corridors eventually forms a green space network through these key nodes. For example, biological migration corridors are built between biological protection sources, ecological corridors are built between regulatory service sources, and recreational greenways are built between cultural service sources.

[0128] Corridors have their own functions, which are used to characterize the services that corridors can provide, such as migration and recreation. Corridors can be divided according to their functions, for example, they can be divided into biological migration corridors, recreational greenways, etc.

[0129] For example, when the above model is used to construct corridors in groups, a resistance surface can be constructed based on the functions of each group of ecological sources and corridors. For example, a biological migration resistance distribution map can be constructed for a biological migration corridor. By assigning values ​​to land use types, grading elevation slopes, and using night light index and the inverse of habitat quality to represent the degree of biological threat, a cumulative resistance value grid for biological migration can be obtained. For another example, the resistance surface used to construct an ecological corridor can be obtained by analyzing indicators such as the distance to the water body, forest coverage, and vegetation index. For another example, the construction of the resistance surface of a recreational greenway should take into account indexes such as road density, traffic accessibility, and the distribution density of scenic spots and points of interest.

[0130] For example, Figure 5 As shown, the process of using various models and methods to plan a green space network provided in the embodiment of the present application is illustrated by way of example:

[0131] 501, InVEST model and other methods.

[0132] The electronic equipment obtains relevant basic data such as land use data, natural geographical data, climate data and socio-economic data in the planning area over multiple time periods, takes these data as input data, processes the data through the InVEST model and other methods, and obtains the ecosystem service evaluation (i.e. evaluation results) of each planning unit in terms of regulating services, supporting services, supply services and cultural services in each time period.

[0133] 502, K-means cluster analysis.

[0134] K-means cluster analysis was performed on the evaluation results of multiple planning units in each time period to obtain the spatial distribution and dominant service functions of ecosystem service clusters in each time period.

[0135] 503, Stable Mapping Change Trajectory Method.

[0136] Afterwards, the spatial distribution of ecosystem service clusters in a time period is overlaid with green space for analysis, and the dominant service function of green space can be obtained; and the stable mapping change trajectory method is also used to analyze the type change trajectory of ecosystem service clusters of each planning unit in multiple time periods, and the spatial distribution of various types of planning units such as stable, gradual, periodic and fluctuating types is obtained; the spatial distribution of various types of planning units is overlaid with green space for analysis, and the stable area in the green space is determined as the ecological source, and the dominant service function of the green space where the stable area is located is determined as the dominant service function of the ecological source, so that ecological sources with different dominant functions such as biological protection source, regulation service source and cultural service source can be obtained, and the gradual area, periodic area and fluctuating area in the green space are determined as key ecological nodes.

[0137] 504, circuit theory model or MCR model.

[0138] Taking ecological sources and ecological nodes as input, the circuit theory model or minimum cumulative resistance (MCR) is called to construct ecological corridors and recreational greenways. Ecological corridors, recreational greenways, ecological nodes and ecological sources together form a green space network.

[0139] To sum up, the green space network planning method based on ecosystem service clusters provided in this embodiment can more accurately identify various types of ecological sources and ecological nodes from the green space through the change trajectory analysis of the ecosystem service clusters of each planning unit, and then group them to construct corridors between ecological sources of the same type. The method of first identifying ecological nodes and then constructing corridors is adopted, which plays the role of ecological nodes as "stepping stones" in corridor construction and reduces the potential cost of corridor construction.

[0140] This method analyzes ecosystem service clusters and distinguishes multiple ecological sources based on their dominant service functions, which is conducive to the construction of corridors and the integration of interactions between similar ecological sources. At the same time, through the spatiotemporal trajectory analysis of ecosystem service clusters, key areas affected by ecosystem services are identified as ecological nodes, which is conducive to building a more stable and efficient green space network.

[0141] The multifunctional green space network planning method based on ecosystem service clusters provided in the embodiment of the present application can coordinate ecological benefits and social benefits to meet multi-objective spatial planning. The ecological source and ecological nodes identified by the ecosystem service clusters and their change trajectories can help provide functional directions for protection or restoration for nature reserves and ecological restoration projects, as well as provide spatial site selection references, and help guide the planning of green space networks in urban areas under the future global climate background to achieve sustainable ecosystem service protection and management.

[0142] In one possible implementation, Figures 2 to 4 The at least two time periods in the illustrated embodiment include at least one of a historical time period and a future time period. That is, in addition to the historical multi-year ecosystem services, future ecosystem service prediction results can also be included to identify potential ecosystem service change areas in the future as ecological nodes. For example, the multiple time periods can include the two historical time periods of 1990 and 2020 and the future time period of 2050.

[0143] If the evaluation of ecosystem services is conducted for historical periods, the steps in the above three embodiments can be referred to for implementation; if the evaluation of ecosystem services is conducted for future periods, the relevant data of other historical periods can be used to predict the relevant basic data of future periods, and then the evaluation of ecosystem services can be conducted. Among them, the other historical periods can include historical periods in at least two periods, and can also include other historical periods other than historical periods in at least two periods.

[0144] Exemplarily, relevant data of other historical time periods are obtained and input into a prediction model or prediction algorithm to predict relevant basic data of future time periods; then, based on the relevant basic data of the future time period (such as ecosystem services), the type and distribution space of the ecosystem service clusters in the planned area in the future time period are determined. This process can refer to the method for determining the type and distribution space of the ecosystem service clusters in the historical time period in the above embodiment; subsequently, the type and distribution space of the ecosystem service clusters in the historical time period and / or other future time periods are combined to construct a green space network. This process can also refer to the implementation method in the above embodiment.

[0145] Taking 1990, 2020 and 2050 as examples, the implementation method is as follows: The ecosystem service evaluation and ecosystem service cluster identification methods in 1990 and 2020 refer to the above three embodiments. For the prediction of ecosystem services in 2050, first, it is necessary to set future scenarios for land use simulation. Here, the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCP) combined scenarios provided by the sixth international coupled model intercomparison project phase 6 (CMIP6) are used to select scenarios that are representative and suitable for the development characteristics of the study area (i.e., the planning area). For example, the SSP245 scenario, the climate variable data and socioeconomic data under the SSP245 scenario in 2050 are obtained. These data are used to predict the land use distribution and ecosystem services in the future in 2050. In order to predict the land use distribution in 2050, it is necessary to obtain the historical land use data of 2005 and 2020, and extract various land use expansion areas. Factors affecting land use change are selected, including climate and natural data (precipitation, temperature, altitude and slope, etc.), socioeconomic factors (population density, gross domestic product (GDP) and distance from various roads, etc.). As a feasible implementation method, the Patch-generating Land Use Simulation (PLUS) model can be used to analyze the contribution of various factors to each land use expansion and obtain the suitability probability distribution grid of each land use expansion, and simulate and verify the future land use in 2050. The simulated land use data in 2050 are applied together with the climate data in 2050 to the evaluation of ecosystem services in 2050. The subsequent identification of ecosystem service clusters, analysis of the change trajectory of ecosystem service clusters in the 1990-2020-2050SSP245 timeline, extraction of ecological sources and ecological nodes, and construction of corridor networks are the same as the methods described above.

[0146] Green space network planning device based on ecosystem service clusters

[0147] Corresponding to the above method embodiment, Figure 6 FIG. 1 shows a schematic diagram of a green space network planning device based on ecosystem service clusters. Figure 6 As shown, the green space network planning device based on ecosystem service clusters includes:

[0148] An acquisition module 601 is used to acquire relevant basic data for calculating ecosystem services in a planning area; the planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis;

[0149] Evaluation module 602, used to evaluate the ecosystem services of the planning area based on relevant basic data and obtain evaluation results of each planning unit;

[0150] The cluster analysis module 603 is used to perform cluster analysis on the evaluation results of the N planning units within the planning area to obtain the type and spatial distribution of the ecosystem service cluster; the ecosystem service cluster is obtained by clustering the ecosystem service combination provided by the planning unit, and the type of the ecosystem service cluster is determined by the characteristics of the ecosystem service combination and is used to characterize the dominant service function of the space;

[0151] A determination module 604 is used to determine the ecological source and the type of ecological source based on the types and spatial distribution of green spaces and ecosystem service clusters in the planning area;

[0152] The construction module 605 is used to construct corridors between ecological sources of the same type based on the type of ecological sources to form a green space network.

[0153] In another possible implementation, the types and spatial distribution of ecosystem service clusters include: the types and spatial distribution of ecosystem service clusters in at least two time periods, wherein there is no overlap between the time periods in at least two time periods;

[0154] The determination module 604 includes a first determination unit 6041, a second determination unit 6042 and a third determination unit 6043;

[0155] A first determination unit 6041 is used to perform an overlay analysis on the spatial distribution of the ecosystem service clusters and the green spaces in the planning area to determine the type of the ecosystem service cluster corresponding to each green space; and

[0156] The second determination unit 6042 is used to determine the type of the ecosystem service cluster of each planning unit in each time period based on the spatial distribution of the ecosystem service cluster in each time period; determine the planning unit whose type of ecosystem service cluster has not changed in at least two time periods as a stable planning unit; and determine the overlapping space between the stable planning unit and the green space as an ecological source area;

[0157] The third determining unit 6043 is used to determine the type of the ecosystem service cluster corresponding to the green space where the ecological source is located as the type of the ecological source.

[0158] In another possible implementation, the second determination unit 6042 is used to determine the change type of the type of ecosystem service cluster of each planning unit in at least two time periods; when the change type is a stable type, the planning unit is determined as a stable planning unit, and the stable type is used to indicate that the type of ecosystem service cluster has not changed in at least two time periods.

[0159] In another possible implementation, the second determining unit 6042 is configured to determine a change parameter corresponding to each planning unit, where the change parameter includes at least one of similarity, number of changes, and diversity; and determine a change type of each planning unit based on the change parameter of each planning unit;

[0160] Among them, similarity refers to the number of times a planning unit experiences the same type of ecosystem service cluster in different time periods; the number of changes refers to the number of times the type of ecosystem service cluster of a planning unit changes between adjacent time periods; and diversity refers to the number of types of ecosystem service clusters experienced by a planning unit in at least two time periods.

[0161] In another possible implementation, the determination module 604 includes a fourth determination unit 6044; the construction module 605 includes a grouping unit 6051 and a construction unit 6052;

[0162] The fourth determining unit 6044 is used to determine the planning unit in which the type of the ecosystem service cluster changes according to a predetermined trajectory in at least two time periods as an unstable planning unit; based on the unstable planning unit, determine the ecological node;

[0163] A grouping unit 6051 is used to group the same type of ecological sources into the same group based on the type of ecological sources, so as to obtain at least one group;

[0164] Construction unit 6052 is used to form a green space network for corridors between ecological sources of the same type in each group, using ecological nodes as connection points between ecological sources.

[0165] In another possible implementation manner, the at least two time periods include at least one of a historical time period and a future time period.

[0166] In another possible implementation, the cluster analysis module 603 is used to perform cluster analysis on the evaluation results of N planning units to obtain at least one type of ecosystem service cluster; analyze the characteristics of the ecosystem service combination within each type of ecosystem service cluster to determine the type of the ecosystem service cluster; and map the ecosystem service cluster to the space of the planning area to obtain the spatial distribution of the ecosystem service cluster.

[0167] It should be noted that the green space network planning device based on ecosystem service clusters in this embodiment is used to implement the corresponding green space network planning method based on ecosystem service clusters in the aforementioned method embodiment, and has the beneficial effects of the corresponding method embodiment, which will not be repeated here.

[0168] Electronic devices

[0169] Figure 7 This is a schematic block diagram of an electronic device provided in an embodiment of the present application. The specific embodiment of the present application does not limit the specific implementation of the electronic device. Figure 7 As shown, the electronic device may include: a processor (processor) 702, a communication interface (Communications Interface) 704, a memory (memory) 706, and a communication bus 708. Among them:

[0170] The processor 702 , the communication interface 704 , and the memory 706 communicate with each other via a communication bus 708 .

[0171] The communication interface 704 is used to communicate with other electronic devices or servers.

[0172] The processor 702 is used to execute the program 710, and specifically can execute the relevant steps in any of the aforementioned embodiments of the green space network planning method based on the ecosystem service cluster.

[0173] Specifically, the program 710 may include program codes, which include computer operation instructions.

[0174] The processor 702 may be a CPU, or an application specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application. The one or more processors included in the smart device may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0175] RISC-V is an open source instruction set architecture based on the Reduced Instruction Set (RISC) principle. It can be applied to various aspects such as single-chip microcomputers and FPGA chips. Specifically, it can be applied to the fields of IoT security, industrial control, mobile phones, personal computers, etc., and because it is designed with small, fast, and low-power realities in mind, it is particularly suitable for modern computing devices such as warehouse-scale cloud computers, high-end mobile phones, and tiny embedded systems. With the rise of artificial intelligence Internet of Things (AIoT), the RISC-V instruction set architecture has also received more and more attention and support, and is expected to become the next generation of widely used CPU architecture.

[0176] The computer operation instructions in the embodiment of the present application may be computer operation instructions based on the RISC-V instruction set architecture, and correspondingly, the processor 702 may be designed based on the RISC-V instruction set. Specifically, the processor chip in the electronic device provided in the embodiment of the present application may be a chip designed with the RISC-V instruction set, and the chip may execute executable code based on the configured instructions, thereby realizing the green space network planning method based on the ecosystem service cluster in the above embodiment.

[0177] The memory 706 is used to store the program 710. The memory 706 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0178] The program 710 may be specifically configured to enable the processor 702 to execute the green space network planning method based on ecosystem service clusters in any of the aforementioned embodiments.

[0179] The specific implementation of each step in program 710 can refer to the corresponding description of the corresponding steps and units in any of the aforementioned embodiments of the green space network planning method based on the ecosystem service cluster, which will not be repeated here. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described devices and modules can refer to the corresponding process description in the aforementioned method embodiment, which will not be repeated here.

[0180] Computer storage media

[0181] The present application also provides a computer-readable storage medium storing instructions for causing a machine to execute the green space network planning method based on ecosystem service clusters as described herein. Specifically, a system or device equipped with a storage medium may be provided, on which a software program code implementing the functions of any of the above embodiments is stored, and a computer (or CPU or MPU) of the system or device is enabled to read and execute the program code stored in the storage medium.

[0182] In this case, the program code read from the storage medium itself can implement the function of any one of the above embodiments, so the program code and the storage medium storing the program code constitute part of the present application.

[0183] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0184] Computer program product

[0185] An embodiment of the present application also provides a computer program product, including computer instructions, which instruct a computing device to perform any corresponding operation in the above-mentioned multiple method embodiments.

[0186] It should be pointed out that, according to the needs of implementation, the various components / steps described in the embodiments of the present application can be split into more components / steps, or two or more components / steps or partial operations of components / steps can be combined into new components / steps to achieve the purpose of the embodiments of the present application.

[0187] The above-mentioned method according to the embodiment of the present application can be implemented in hardware, firmware, or implemented as software or computer code that can be stored in a recording medium (such as a CD ROM, RAM, floppy disk, hard disk or magneto-optical disk), or implemented as a computer code originally stored in a remote recording medium or a non-temporary machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the method described herein can be stored in such software processing on a recording medium using a general-purpose computer, a special-purpose processor or programmable or special-purpose hardware (such as an ASIC or FPGA). It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code, and when the software or computer code is accessed and executed by a computer, a processor or hardware, the method described herein is implemented. In addition, when a general-purpose computer accesses the code for implementing the method shown here, the execution of the code converts the general-purpose computer into a special-purpose computer for executing the method shown here.

[0188] Those of ordinary skill in the art will appreciate that the units and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present application.

[0189] The above implementation methods are only used to illustrate the embodiments of the present application, and are not limitations on the embodiments of the present application. Ordinary technicians in the relevant technical field can make various changes and modifications without departing from the spirit and scope of the embodiments of the present application. Therefore, all equivalent technical solutions also belong to the scope of the embodiments of the present application. The scope of patent protection of the embodiments of the present application should be limited by the claims.

Claims

1. A green space network planning method based on ecosystem service clusters, characterized in that: The method comprises: Obtain relevant basic data for calculating ecosystem services in the planning area; the planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis; Based on the relevant basic data, the ecosystem services of the planning area are evaluated to obtain evaluation results of each planning unit; Performing cluster analysis on the evaluation results of the N planning units within the planning area to obtain the type and spatial distribution of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by the planning units, the types of the ecosystem service clusters are determined by the characteristics of the ecosystem service combinations, and are used to characterize the dominant service functions of the space; Determine the ecological source and the type of the ecological source based on the green space in the planning area and the type and spatial distribution of the ecosystem service cluster; Based on the types of ecological sources, corridors between ecological sources of the same type are constructed to form a green space network.

2. The method according to claim 1, characterized in that The types and spatial distribution of the ecosystem service clusters include: the types and spatial distribution of the ecosystem service clusters in at least two time periods, wherein there is no overlap between the time periods in the at least two time periods; The determining of the ecological source and the type of the ecological source based on the green space in the planning area and the type and spatial distribution of the ecosystem service cluster includes: Performing an overlay analysis on the spatial distribution of the ecosystem service clusters and the green spaces within the planning area to determine the type of ecosystem service cluster corresponding to each of the green spaces; and Based on the spatial distribution of the ecosystem service clusters in each time period, determine the type of the ecosystem service cluster of each planning unit in each time period; determine the planning unit whose type of the ecosystem service cluster has not changed in at least two time periods as a stable planning unit; determine the overlapping space between the stable planning unit and the green space as an ecological source; The type of the ecosystem service cluster corresponding to the green space where the ecological source is located is determined as the type of the ecological source.

3. The method according to claim 2, characterized in that The step of determining the planning unit in which the type of the ecosystem service cluster has not changed in the at least two time periods as a stable planning unit includes: Determining a change type of the type of the ecosystem service cluster in each of the planning units over the at least two time periods; In a case where the change type is a stable type, the planning unit is determined as a stable type planning unit, where the stable type is used to indicate that the type of the ecosystem service cluster has not changed in the at least two time periods.

4. The method according to claim 3, characterized in that The determining of the change type of the type of the ecosystem service cluster of each planning unit in the at least two time periods includes: Determine a change parameter corresponding to each of the planning units, wherein the change parameter includes at least one of similarity, number of changes, and diversity; Determining a change type of each of the planning units based on a change parameter of each of the planning units; Among them, the similarity refers to the number of times the planning unit experiences the same type of ecosystem service cluster in different time periods; the number of changes refers to the number of times the type of ecosystem service cluster of the planning unit changes between adjacent time periods; and the diversity refers to the number of types of ecosystem service clusters experienced by the planning unit in the at least two time periods.

5. The method according to any one of claims 2 to 4, characterized in that: The method further comprises: Determine a planning unit in which the type of the ecosystem service cluster changes according to a predetermined trajectory during the at least two time periods as an unstable planning unit; Based on the unstable planning unit, determining an ecological node; Based on the type of the ecological source, corridors between ecological sources of the same type are constructed to form a green space network, including: Based on the type of the ecological source, ecological source of the same type is divided into the same group to obtain at least one group; The ecological nodes are used as connection points between the ecological sources, and the corridors between the ecological sources of the same type in each group form the green space network.

6. The method according to any one of claims 2 to 4, characterized in that: The at least two time periods include at least one of a historical time period and a future time period.

7. The method according to any one of claims 1 to 4, characterized in that: The evaluation results of the N planning units are clustered within the planning area to obtain the types and spatial distribution of ecosystem service clusters, including: Performing cluster analysis on the evaluation results of the N planning units to obtain at least one type of ecosystem service cluster; Analyzing the characteristics of the ecosystem service combinations within each type of the ecosystem service cluster to determine the type of the ecosystem service cluster; and The ecosystem service clusters are mapped to the space of the planning area to obtain the spatial distribution of the ecosystem service clusters.

8. A green space network planning device based on ecosystem service clusters, characterized in that: The device comprises: An acquisition module, used for acquiring relevant basic data for calculating ecosystem services in a planning area; the planning area includes N planning units, where N is equal to or greater than a predefined minimum sample size for cluster analysis; An evaluation module, used to evaluate the ecosystem services of the planning area based on the relevant basic data, and obtain evaluation results of each planning unit; A cluster analysis module, used to perform cluster analysis on the evaluation results of the N planning units within the planning area to obtain the type and spatial distribution of ecosystem service clusters; the ecosystem service clusters are obtained by clustering the ecosystem service combinations provided by the planning units, the types of the ecosystem service clusters are determined by the characteristics of the ecosystem service combinations, and are used to characterize the dominant service functions of the space; A determination module, configured to determine an ecological source and the type of the ecological source based on the green space in the planning area and the type and spatial distribution of the ecosystem service cluster; The construction module is used to construct corridors between ecological sources of the same type based on the type of the ecological source to form a green space network.

9. An electronic device, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the green space network planning method based on ecosystem service clusters as claimed in any one of claims 1 to 7.

10. A computer storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method for planning a green space network based on an ecosystem service cluster according to any one of claims 1 to 7 is implemented.

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