CN113569418A - Sea area analysis method and device for sea-land overall planning and computer equipment - Google Patents
Sea area analysis method and device for sea-land overall planning and computer equipment Download PDFInfo
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Abstract
The invention provides a sea area analysis method, a device and computer equipment for sea-land integrated planning, wherein the sea area analysis method for sea-land integrated planning comprises the following steps: acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value; gridding the target sea area and acquiring the central point position of each sea area grid; calculating an economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm; and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method. The sea area analysis method for sea-land overall planning can realize overall analysis of the influence of the land-source economic index value on the target sea area so as to carry out inland traceability analysis of the influence factors of the target sea area, thereby improving the accuracy of sea area analysis.
Description
Technical Field
The invention relates to the field of ocean research, in particular to a sea area analysis method and device for sea-land overall planning, computer equipment and a readable storage medium.
Background
In recent years, the ecological environment of the offshore area in China is not optimistic, and particularly, the bay area causes severe marine pollution due to the fact that the bay area is close to the land and a relatively closed sea area environment is formed. Generally speaking, the influence of coastal land areas on their immediate sea areas is most direct, and the sea areas are also developed and utilized frequently by human activities. An important characterization parameter of the frequent action degree of related human activities is social economy, direct description of marine pollution states is prone to be carried out in the prior art, and analysis of marine influences of the social economy is lacked.
Disclosure of Invention
In view of the above problems, the present invention provides a sea area analysis method, an apparatus, a computer device and a readable storage medium for sea-land overall planning, which can implement overall analysis of the influence of the land-source economic index value on the target sea area, so as to perform inland traceability analysis of the influencing factors of the target sea area, thereby improving the accuracy of sea area analysis.
In order to achieve the purpose, the invention adopts the following technical scheme:
a sea area analysis method for sea-land integrated planning comprises the following steps:
acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value;
gridding the target sea area and acquiring the central point position of each sea area grid;
calculating an economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm;
and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
Preferably, in the sea area analysis method of sea-land universalization, the preset spatial interpolation method includes kriging interpolation;
the method further comprises the following steps:
acquiring a plurality of water quality sampling point data of the target sea area, and acquiring a water quality pollution data grid map layer of the target sea area by the preset space interpolation method;
and resampling the economic index influence raster image layer and the water pollution data raster image layer to obtain the economic index influence action values with preset density uniform distribution and corresponding water pollution data.
Preferably, the sea area analysis method of sea-land orchestration further includes:
calling a correlation analysis program to perform correlation analysis on the economic index influence action value and the corresponding water quality pollution data to obtain a correlation coefficient and a significance level of the economic index and the water quality of the target sea area;
and sequencing the influence of a plurality of economic indicator types on the target sea area according to the correlation coefficient and the significance level.
Preferably, the sea area analysis method of sea-land orchestration further includes:
carrying out spatial statistical processing on the economic index influence raster image layer and the water quality pollution data raster image layer to obtain spatial statistical data;
and combining the spatial statistical data, the economic index influence action value, the corresponding water quality pollution data, the correlation coefficient, the significance level and the sequencing of the economic index type on the influence of the target sea area to form a comprehensive report.
Preferably, in the sea area analysis method based on sea-land planning, the formula of the preset economic indicator influence algorithm includes:
in the formula, PjThe economic index influence action value of the jth sea area grid, n is the number of the occurrence positions of the target economic index type, EiFor the ith economic index value, EminIs the minimum of all the economic indicator values, EmaxFor the maximum of all the economic indicator valuesValue, DijIs the distance of the ith occurrence position from the jth sea area grid, DmaxIs the maximum distance, D, of the location of occurrence from the sea area gridminIs the minimum distance of the occurrence location from the sea area grid.
Preferably, the sea area analysis method of sea-land orchestration further includes:
normalizing the economic index influence value of the economic index influence raster image layer to obtain a normalized influence value;
and carrying out area division processing of influence value classification on the target sea area according to the normalized influence value and a corresponding influence value classification rule to obtain a plurality of classification influence areas of the target sea area under the target economic index type.
Preferably, in the sea area analysis method by sea-land orchestration, the target economic indicator type includes at least one of population number, total value of industrial production, total value of agriculture, forestry, animal husbandry, fisheries, crop planting area, fertilizer application amount, wastewater discharge amount and energy consumption amount.
The present invention also provides a sea area analysis device for sea-land planning, comprising:
the economic data acquisition module is used for acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value;
the sea area gridding module is used for gridding the target sea area and acquiring the central point position of each sea area grid;
the influence value calculation module is used for calculating the economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm;
and the grid layer generating module is used for obtaining the economic index influence grid layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
The invention also provides a computer device comprising a memory and a processor, the memory storing a computer program which, when run on the processor, performs the sea area analysis method of sea-land orchestration.
The invention also provides a readable storage medium, which stores a computer program that, when run on a processor, performs the sea area analysis method of sea-land orchestration.
The invention provides a sea area analysis method for sea-land integrated planning, which comprises the following steps: acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value; gridding the target sea area and acquiring the central point position of each sea area grid; calculating an economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm; and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method. According to the sea area analysis method for sea-land overall planning, the economic index value and the corresponding occurrence position of the coastal zone of the target sea area are obtained, gridded economic index influence analysis is carried out on the sea area and the target sea area, so that the economic index influence action value of each sea area grid influenced by the type of the target economic index is obtained, and the influence grid layer of the target sea area is formed through an interpolation method, so that the overall planning analysis of the influence of the land-source economic index value on the target sea area is realized, the inland traceability analysis of the influence factors of the target sea area is facilitated, and the accuracy of the sea area analysis is improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention. Like components are numbered similarly in the various figures.
Fig. 1 is a flowchart of a sea area analysis method for sea-land coordination according to embodiment 1 of the present invention;
fig. 2 is a flowchart of a sea area analysis method for sea-land coordination according to embodiment 2 of the present invention;
fig. 3 is a flowchart of another sea area analysis method for sea-land orchestration according to embodiment 2 of the present invention;
fig. 4 is a flowchart of a third sea area analysis method for sea-land orchestration according to embodiment 2 of the present invention;
fig. 5 is a flowchart of a sea area analysis method for sea-land coordination according to embodiment 3 of the present invention;
fig. 6 is a schematic configuration diagram of an ocean analysis apparatus for global sea and land planning according to embodiment 4 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
Furthermore, the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their contextual meaning in the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein in various embodiments of the present invention.
Example 1
Fig. 1 is a flowchart of an ocean area analysis method for sea-land integrated planning according to embodiment 1 of the present invention, where the method includes the following steps:
step S11: and acquiring at least one occurrence position of the target economic index type on the coastal zone of the target sea area and a corresponding economic index value.
In the embodiment of the present invention, the target sea area may be an offshore area, for example, a bay area, near the land, and the ocean pollution is serious due to human economic activities and a relatively closed sea area environment, which is a main target for performing the sea area analysis. The target economic index type comprises at least one of population quantity, total value of industrial production, total value of agriculture, forestry, animal husbandry and fishery, crop planting area, fertilizer application amount, wastewater discharge amount and energy consumption amount, the economic index value of the target economic index type can be obtained through a local information management mechanism, for example, a corresponding economic index value can be obtained through an official network of a city-level statistical bureau, and the occurrence position can be the central position of a corresponding city. When acquiring a plurality of occurrence positions and corresponding economic index values, it should be considered that the levels of the occurrence positions should be consistent, that is, the occurrence positions may be urban positions, county positions, village positions, or the like, which is not limited herein.
Step S12: and gridding the target sea area and acquiring the central point position of each sea area grid.
In the embodiment of the invention, for a target sea area to be analyzed, firstly, gridding processing is carried out on a target sea area plane according to a preset grid size, for example, when the grid size is 5km × 5km, the grid of the target sea area is uniformly divided according to 5km × 5km to form a grid plane graph of the target sea area, and then, the position of a center point of each grid is obtained, so that points to be analyzed which are uniformly distributed in the target sea area are obtained.
In the embodiment of the present invention, the above-mentioned processes of performing the gridding processing and obtaining the positions of the central points of the grids may be implemented by using an algorithm or an application program, for example, an application program for performing the gridding processing may be set in the computer device, the application program may perform the gridding processing on the plan view of the target sea area according to a preset gridding size, and then extract the positions of the central points of each grid as the points to be analyzed, which are uniformly distributed in the target sea area.
Step S13: and calculating the economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm.
In an embodiment of the present invention, the formula of the preset economic indicator influence algorithm includes:
in the formula, PjThe economic index influence action value of the jth sea area grid, n is the number of the occurrence positions of the target economic index type, EiFor the ith economic index value, EminIs the minimum of all the economic indicator values, EmaxFor the maximum of all the economic indicator values, DijFor the distance between the ith occurrence position and the jth sea area grid，DmaxIs the maximum distance, D, of the location of occurrence from the sea area gridminIs the minimum distance of the occurrence location from the sea area grid.
In the embodiment of the present invention, the economic indicator value may be obtained by a third party statistical database, and the distance between the occurrence location and the sea area grid may be implemented by using an algorithm or an application program, for example, an application program for calculating the distance may be provided in the computer device, and the corresponding distance may be calculated by inputting the occurrence location and the position of the center point of the sea area grid. After the distances between all the sea area grids in the target sea area and all the occurrence positions are calculated, the maximum distance between the corresponding occurrence positions and the sea area grids can be found out.
In the embodiment of the present invention, an application program based on the above formula of the preset economic indicator impact algorithm may also be provided in the computer device, and the economic indicator impact action value of each sea area grid is calculated by starting the application program and inputting the relevant economic indicator value and distance. The economic index influence value is a simulation influence value of the current economic index type on the corresponding sea area grid, and the influence of the economic index type on the target sea area can be obtained by comparing the economic index influence value with the actual water quality data of the sea area grid and carrying out correlation analysis.
Step S14: and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
In the embodiment of the invention, the obtained economic index influence action value is planar point data, so that a grid layer of the economic index influence action value can be obtained by a spatial interpolation method to simulate the economic index influence action value of the whole target sea area. The preset spatial interpolation method comprises a kriging interpolation method, the mathematical function is fitted with the point data of the economic index influence action values, the economic index influence action value of each position of the whole target sea area plane is finally determined, and the economic index influence action value is output as a grid image layer.
In the embodiment of the invention, the economic index value and the corresponding occurrence position of the coastal zone of the target sea area are obtained, gridded economic index influence analysis is carried out on the coastal zone and the target sea area to obtain the economic index influence action value of each sea area grid influenced by the type of the target economic index, and the influence grid layer of the target sea area is formed by an interpolation method, so that the overall analysis of the land-source economic index value on the influence of the target sea area is realized, the inland traceability analysis of the influence factors of the target sea area is carried out, and the accuracy of the sea area analysis is improved.
Example 2
Fig. 2 is a flowchart of an ocean area analysis method for sea-land integrated planning according to embodiment 2 of the present invention, where the method includes the following steps:
step S20: and acquiring at least one occurrence position of the target economic index type on the coastal zone of the target sea area and a corresponding economic index value.
This step is identical to step S11 described above, and will not be described herein again.
Step S21: and gridding the target sea area and acquiring the central point position of each sea area grid.
This step is identical to step S12 described above, and will not be described herein again.
Step S22: and calculating the economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm.
This step is identical to step S13 described above, and will not be described herein again.
Step S23: and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
This step is identical to step S14 described above, and will not be described herein again.
Step S24: and acquiring a plurality of water quality sampling point data of the target sea area, and acquiring a water quality pollution data grid map layer of the target sea area by the preset space interpolation method.
In the embodiment of the present invention, the water quality sampling point data includes a sampling point position and various water quality pollution data, for example, the data includes inorganic nitrogen content, inorganic phosphorus content, dissolved oxygen, chemical oxygen demand, and the like of seawater, which is not limited herein. The water quality sampling point data can be obtained from a water quality database of a third party, and as the sampling points of the water quality sampling points are distributed in the water dispenser, a grid layer is obtained by using a spatial interpolation method so as to obtain the water quality sampling point data of each position in a target sea area.
Step S25: and resampling the economic index influence raster image layer and the water pollution data raster image layer to obtain the economic index influence action values with preset density uniform distribution and corresponding water pollution data.
In the embodiment of the invention, for the resampling process of the economic index influence raster image layer and the water pollution data raster image layer, uniformly distributed sampling points or sampling points at positions designated by a user can be selected according to the requirements of the user, and the sampling points are not limited, for example, a designated grid density can be set to divide a research area, such as a 3km × 3km grid, and the central point of the grid is selected as a resampling point, so that the economic index influence value of the resampling point and the corresponding water pollution data are obtained. After the economic index influence action value and the corresponding water quality pollution data are obtained, a corresponding analysis table can be generated and output so as to carry out subsequent sea area analysis.
Fig. 3 is a flowchart of another sea area analysis method for sea-land integrated planning according to embodiment 2 of the present invention, where the method further includes the following steps:
step S26: and calling a correlation analysis program to perform correlation analysis on the economic index influence action value and the corresponding water quality pollution data to obtain a correlation coefficient and a significance level of the economic index and the water quality of the target sea area.
Step S27: and sequencing the influence of a plurality of economic indicator types on the target sea area according to the correlation coefficient and the significance level.
In the embodiment of the invention, an SPSS software environment (SPSS, Statistical Product and Service Solutions) can be set in the computer equipment, and after the economic index influence action value with uniformly distributed preset density and corresponding water pollution data are obtained, a Pearson correlation analysis program in the SPSS software environment can be called to carry out correlation analysis on the two data, so that the correlation coefficient and the significance level of the economic index and the water quality of the target sea area are obtained.
In the embodiment of the present invention, sea area analysis of sea-land overall planning is performed according to different economic indicator types, so that different correlation coefficients and significance levels of a target sea area under multiple economic indicator types can be obtained, and according to the correlation coefficients and the significance levels, the influence of the economic indicator types on the target sea area can be sorted, for example, the economic indicator types with larger correlation coefficients are sorted more forward, and the like, which is not limited herein.
Fig. 4 is a flowchart of a third sea area analysis method for sea-land integrated planning according to embodiment 2 of the present invention, where the method further includes the following steps:
step S28: and carrying out spatial statistical treatment on the economic index influence raster image layer and the water quality pollution data raster image layer to obtain spatial statistical data.
Step S29: and combining the spatial statistical data, the economic index influence action value, the corresponding water quality pollution data, the correlation coefficient, the significance level and the sequencing of the economic index type on the influence of the target sea area to form a comprehensive report.
In the embodiment of the present invention, the process of performing spatial statistics processing may be implemented by using an algorithm or an application program, for example, an application program for spatial statistics processing may be set in a computer device, and the economic indicator influence raster image layer and the water quality pollution data raster image layer may be obtained and then input to the application program, so as to obtain spatial statistics data. And finally summarizing all the data to form a comprehensive report of the analysis data of the target sea area so as to facilitate the development of the management of the target sea area and carry out the source tracing analysis of the pollution of the target sea area according to the comprehensive report.
Example 3
Fig. 5 is a flowchart of an sea area analysis method for sea-land integrated planning according to embodiment 3 of the present invention, where the method includes the following steps:
step S51: and acquiring at least one occurrence position of the target economic index type on the coastal zone of the target sea area and a corresponding economic index value.
This step is identical to step S11 described above, and will not be described herein again.
Step S52: and gridding the target sea area and acquiring the central point position of each sea area grid.
This step is identical to step S12 described above, and will not be described herein again.
Step S53: and calculating the economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm.
This step is identical to step S13 described above, and will not be described herein again.
Step S54: and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
This step is identical to step S14 described above, and will not be described herein again.
Step S55: and normalizing the economic index influence value of the economic index influence raster image layer to obtain a normalized influence value.
Step S56: and carrying out area division processing of influence value classification on the target sea area according to the normalized influence value and a corresponding influence value classification rule to obtain a plurality of classification influence areas of the target sea area under the target economic index type.
In the embodiment of the present invention, the above-mentioned influence value ranking rule is, for example, to classify the normalized influence value into a low influence region when the normalized influence value is in the range of (0, 0.2), a low influence region when the normalized influence value is in the range of (0.2, 0.4), a medium influence region when the normalized influence value is in the range of (0.4, 0.6), a high influence region when the normalized influence value is in the range of (0.6, 0.8), and a high influence region when the normalized influence value is in the range of (0.8, 1.0).
Example 4
Fig. 6 is a schematic configuration diagram of an ocean analysis apparatus for global sea and land planning according to embodiment 4 of the present invention.
This sea area analysis device 600 for sea-land integrated planning includes:
the economic data acquisition module 610 is used for acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value;
a sea area gridding module 620, configured to perform gridding processing on the target sea area and obtain a center point position of each sea area grid;
an influence value calculating module 630, configured to calculate an economic index influence action value of each sea area grid by using the occurrence position, the economic index value, and the center point position through a preset economic index influence algorithm;
and the grid layer generating module 640 is configured to obtain the economic indicator influence grid layer of the target sea area by using the economic indicator influence action value of each sea area grid through a preset spatial interpolation method.
In the embodiment of the present invention, for more detailed description of functions of the modules, reference may be made to contents of corresponding parts in the foregoing embodiment, which are not described herein again.
Furthermore, the present invention also provides a computer device comprising a memory and a processor, wherein the memory is used for storing a computer program, and the processor is used for executing the computer program, so that the computer device executes the functions of the above method or the above modules in the sea area analysis device for sea-land planning.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the computer device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The embodiment also provides a computer storage medium for storing a computer program used in the computer device.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A sea area analysis method for sea-land integrated planning is characterized by comprising the following steps:
acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value;
gridding the target sea area and acquiring the central point position of each sea area grid;
calculating an economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm;
and obtaining the economic index influence grid map layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
2. The sea area analysis method for sea-land universities according to claim 1, wherein the predetermined spatial interpolation method includes kriging interpolation;
the method further comprises the following steps:
acquiring a plurality of water quality sampling point data of the target sea area, and acquiring a water quality pollution data grid map layer of the target sea area by the preset space interpolation method;
and resampling the economic index influence raster image layer and the water pollution data raster image layer to obtain the economic index influence action values with preset density uniform distribution and corresponding water pollution data.
3. The sea area analysis method for sea-land orchestration according to claim 2, further comprising:
calling a correlation analysis program to perform correlation analysis on the economic index influence action value and the corresponding water quality pollution data to obtain a correlation coefficient and a significance level of the economic index and the water quality of the target sea area;
and sequencing the influence of a plurality of economic indicator types on the target sea area according to the correlation coefficient and the significance level.
4. The sea area analysis method for sea-land orchestration according to claim 3, further comprising:
carrying out spatial statistical processing on the economic index influence raster image layer and the water quality pollution data raster image layer to obtain spatial statistical data;
and combining the spatial statistical data, the economic index influence action value, the corresponding water quality pollution data, the correlation coefficient, the significance level and the sequencing of the economic index type on the influence of the target sea area to form a comprehensive report.
5. The sea area analysis method for sea-land orchestration according to claim 1, wherein the formula of the predetermined economic indicator influence algorithm comprises:
in the formula, PjThe economic index influence action value of the jth sea area grid, n is the number of the occurrence positions of the target economic index type, EiFor the ith economic index value, EminIs the minimum of all the economic indicator values, EmaxFor the maximum of all the economic indicator values, DijIs the distance of the ith occurrence position from the jth sea area grid, DmaxIs the maximum distance, D, of the location of occurrence from the sea area gridminIs the minimum distance of the occurrence location from the sea area grid.
6. The sea area analysis method for sea-land orchestration according to claim 1, further comprising:
normalizing the economic index influence value of the economic index influence raster image layer to obtain a normalized influence value;
and carrying out area division processing of influence value classification on the target sea area according to the normalized influence value and a corresponding influence value classification rule to obtain a plurality of classification influence areas of the target sea area under the target economic index type.
7. The sea area analysis method for sea-land orchestration according to any one of claims 1 to 6, wherein the target economic indicator type comprises at least one of population number, total value of industrial production, total value of agriculture, forestry, animal husbandry, and fishery, crop planting area, fertilizer application amount, wastewater discharge amount, and energy consumption amount.
8. An ocean area analysis device for sea-land planning, comprising:
the economic data acquisition module is used for acquiring at least one occurrence position of a target economic index type on a coastal zone of a target sea area and a corresponding economic index value;
the sea area gridding module is used for gridding the target sea area and acquiring the central point position of each sea area grid;
the influence value calculation module is used for calculating the economic index influence action value of each sea area grid by utilizing the occurrence position, the economic index value and the central point position through a preset economic index influence algorithm;
and the grid layer generating module is used for obtaining the economic index influence grid layer of the target sea area by using the economic index influence action value of each sea area grid through a preset space interpolation method.
9. A computer arrangement comprising a memory and a processor, the memory storing a computer program which, when run on the processor, performs the sea area analysis method of sea-land orchestration according to any one of claims 1-7.
10. A readable storage medium, characterized in that it stores a computer program which, when run on a processor, performs the sea area analysis method of sea-land orchestration according to any one of claims 1 to 7.
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