CN112801487A - Method for converting land use type into plant function type, terminal and storage medium - Google Patents
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Abstract
The application provides a method for converting plant function types by using soil utilization types, which comprises the following steps: s1, establishing a conversion matrix for converting the land use type into the plant function type; s2, determining the standard of the land use type, and sequencing the corresponding plant function types; s3, limiting land utilization types, grids of plant function types and conversion coefficients; s4, determining a penalty coefficient and an objective function; and S5, solving an optimal solution through linear programming. The optimal solution of X (X) can use R language packet "lpsolve" to calculate the result, so that the soil utilization type can be better mapped into the plant function type through X in the initial state, the corresponding F value can be written as F (F e [ m, mn ]), p is m represents that all the soil utilization types are perfectly transformed to the plant function type, and F is mn represents that the expected result is achieved, thereby realizing the rapid and accurate completion of the soil utilization type transformation of the plant function type.
Description
Technical Field
The application relates to the field of land treatment, in particular to a method, a terminal and a storage medium for converting a plant function type by using a land utilization type.
Background
Land utilization type: the land resource units with the same land utilization mode are divided according to land utilization region differences and are basic region units reflecting land use, properties and distribution rules. The land utilization categories with different utilization directions and characteristics are formed in the process of producing and constructing by transforming and utilizing the land by human beings. Reflects the economic characteristics of land and presents different land utilization modes. The method is different from the land type, and the latter is a natural complex of interaction of various natural elements in regions and reflects the difference of the characteristics of the natural state of the land. The land use type is not defined simply to recognize the geographical difference of the current use situation, but mainly to evaluate the land productivity. Plant Functional Types (PFTs) are important high-grade units for Plant classification, and Plant types classified according to life types are established by the same or similar life types and similar in ecological characteristics, and are important basis for Plant division for Plant communities with consistent hydrothermal ecological relationship. The physiological and ecological process, the biophysical characteristics, the phenological changes and other factors of the plants are introduced into a biological geographic model, a biological geochemical model, a land surface process model, a global dynamic plant model and other models, so that the plant dynamics can be described in a mechanism way. Therefore, the plant functional type has great significance in the aspects of analyzing the functions of the ecosystem, evaluating the sensitivity of the ecosystem to environmental changes, predicting the response of the plant along with the environmental changes and the like. Different countries have different division standards for land use types and vegetation function types, so that various land use types and vegetation function type data and products exist in the world, and the land use types and the vegetation function types are not equal one to one, and a uniform conversion method is not developed. In the traditional conversion and classification format, only one set of conversion matrix is needed, manual processing through a search table is needed, and the workload is large. The method completely does not need manual operation and manual judgment work, is suitable for converting different vegetation function type diagrams of various different land utilization types, completely converts the vegetation function type diagrams by a computer, and is suitable for greatly improving the working efficiency and the precision.
When predictive simulation is performed on future scenarios, the global climate model requires a vegetation function type map as a boundary condition input. However, the future vegetation function type graph is generated by converting a future land use change graph predicted by a social economic model. The traditional conversion method is to develop a cross lookup table, and determine the proportion of land use types to the proportion of vegetation function types through the lookup table. This approach has significant limitations. First, the standards for dividing land utilization types of various global products are different, and the types of vegetation functions required by various global climate models are also different. This results in the need to develop different cross-lookup tables for different products and combinations of models, which is a significant amount of effort. Secondly, the categorical representation of land use types tends to be rather ambiguous, such as "non-forest land", and in climatically humid regions, such types may correspond to grasslands, farmlands or cities, whereas in arid regions, such types may correspond to grasslands or deserts. If only one fixed cross look-up table is used for the conversion, then a very large bias is introduced. In order to overcome the problems, the patent provides a fast conversion method which is easy to operate and has strong applicability
Disclosure of Invention
The application aims to provide a method, a terminal and a storage medium for converting a plant function type by using a land utilization type so as to improve the working efficiency and the precision.
The embodiment of the application is realized as follows:
a method for converting plant function types by using land types comprises the following steps:
s1, establishing a conversion matrix of land use type conversion plant function type, namely XaB; wherein X is a matrix of m X n of unknown conversion coefficients, and a is a land use type m-length vector; b is a plant function type n long vector;
s2, determining the standard of the land use type, and sequencing the corresponding plant function types;
s3, defining land use types, plant function type grids and conversion coefficients, namely: x is more than or equal to 0ij;ai,bj≤1;And defines:wherein i represents the ith soil utilization type, and j represents the jth plant function type;
s4, determining a penalty coefficient and an objective function, wherein the penalty coefficient is as follows: index of rank pij(P ∈ 2{1, 2, 3, … … m }) constitutes a matrix P of m × n, the objective function being: obtaining the solution of X when the F value is minimum;
s5, solving an optimal solution through linear programming, namely:ImnX≥z,Imnless than or equal to 0; wherein x is the line { { x { ]11,x12,…,x1m},{x21,x22,…,x2m},…,{xn1,xn2,…,xnm} extended X derived vector; mn long vectors with z being 0; mn long vectors with o being 1; i ismnIs an mn-order identity matrix;
and isWherein, aTIs the transpose of a. QiThe representation is an m-long vector of 0 except for the ith element, 1.
Further, determining a standard of the land use type, and ranking the plant function types corresponding to the standard of the land use type comprises the following steps: and determining the front-to-back sequencing of the plant function types according to the sequence of the correlation degree of the plants and the land types from strong to weak.
A terminal, comprising: a memory storing a computer program operable on the processor, and a processor executing the program to perform the steps of the land use type-to-plant function type conversion method described above.
A computer-readable storage medium having stored thereon a computer program which, when executed, implements the steps in the above-described method for converting a land use type into a plant function type.
The method for converting the land use type into the plant function type comprises the following steps: s1, establishing a conversion matrix for converting the land use type into the plant function type; s2, determining the standard of the land use type, and sequencing the corresponding plant function types; s3, limiting land utilization types, grids of plant function types and conversion coefficients; s4, determining a penalty coefficient and an objective function; and S5, solving an optimal solution through linear programming. The optimal solution of X (X) can use R language packet "lpsolve" to calculate the result, so that the soil utilization type can be better mapped into the plant function type through X in the initial state, the corresponding F value can be written as F (F e [ m, mn ]), p is m represents that all the soil utilization types are perfectly transformed to the plant function type, and F is mn represents that the expected result is achieved, thereby realizing the rapid and accurate completion of the soil utilization type transformation of the plant function type.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for converting a land use type into a plant function type according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Examples
As shown in fig. 1, an embodiment of the present application provides a method for converting a plant function type using a land type, the method including:
s1, establishing a conversion matrix of land use type conversion plant function type, namely XaB; wherein X is a matrix of m X n of unknown conversion coefficients, and a is a land use type m-length vector; b is a plant function type n long vector.
Specifically, assuming that the projection data in the existing plant function type map has m types of land use and n types of plant function, therefore, for a specific grid cell of the land use type a and plant function type b array, the conversion coefficient matrix needs to convert the land use type into the plant function type, and the conversion matrix for converting the land use type into the plant function type may be:
a1x11+a2x12+···+amx1m=b1
a1x21+a2x22+···+amx2m=b2
……
a1xi1+a2xi2+···+aixij=bj
……
a1xm1+a2xm2+···+amxnm=bn
wherein i is the i (1, 2, 3 … … m) th land utilization type, j is the j (1, 2, 3 … … n) th plant function type, xijRepresenting unknown conversion coefficients; a isiIs part of an i-th land utilization type grid, bjIs part of the jth plant function type grid.
The above matrix can be simply written as: xa ═ b.
And S2, determining the standard of the land use type, and sequencing the corresponding plant function types.
Specifically, if a grid cell is completely covered as "potential forest secondary" in the land use type, but is detected as "no plants" in the plant function type map, the "no plants" will occupy all positions from the "potential forest secondary". Thus, for each plant function type, the land use type should transition from the most likely to the least likely. We propose four types of land use according to relevance,
taking "wheat" as an example: 1) is highly correlated with the type of land use. The "annual C3 crop" ranked first in "wheat"; 2) the relation with land utilization type is fuzzy (undefined), and the non-forestry secondary land refers to a plant functional coverage area arranged under the wheat; 3) weakly associated with the type of land use but may be highly associated with the type of plant function, such as the "annual C4 crop" in crops, highly corresponding to the type of function of "corn". 4) And is almost irrelevant to the type of land use. Such as "urban land" and "original forest land" cannot be interpreted as crops. They rank the underlay in "wheat".
S3, limiting land use type, plant function type grid and conversion coefficientNamely: x is more than or equal to 0ij;ai,bj≤1;And defines:wherein i represents the ith soil utilization type, and j represents the jth plant function type.
S4, determining a penalty coefficient and an objective function, wherein the penalty coefficient is as follows: index of rank pij(P ∈ 2{1, 2, 3, … … m }) constitutes a matrix P of m × n, the objective function being: the solution of X is obtained when the value of F is minimum.
S5, solving an optimal solution through linear programming, namely:ImnX≥z,Imnless than or equal to 0; wherein x is the line { { x { ]11,x12,…,x1m},{x21,x22,…,x2m},…,{xn1,xn2,…,xnm} extended X derived vector; mn long vectors with z being 0; mn long vectors with o being 1; i ismnIs an mn-order identity matrix;
and isWherein, aTIs the transpose of a. QiThe representation is an m-long vector of 0 except for the ith element, 1.
Then, the best solution for X (X) can be calculated using the R language package "lpsolve". Therefore, in the initial state, the soil utilization type can be better mapped into the plant function type through X, and the corresponding F value can be written as F (F epsilon [ m, mn ]). p-m indicates that all land use types are perfectly transformed into plant function types, and f-mn indicates that the expected result is achieved. This application still provides a terminal, includes: the storage is electrically connected with the processor, the storage stores a computer program capable of running on the processor, and the processor executes the program to realize the steps in the method for converting the land use type into the plant function type so as to quickly and accurately convert the land use type into the plant function type.
The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed, implements the steps in the above-described method for converting land use type into plant function type. The readable storage medium is read by a computer, and the computer can realize the operation of the method for converting the land use type into the plant function type so as to quickly and accurately convert the land use type into the plant function type.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (4)
1. A method for converting a plant function type by using land utilization type, comprising:
s1, establishing a conversion matrix of land use type conversion plant function type, namely XaB; wherein X is a matrix of m X n of unknown conversion coefficients, and a is a land use type m-length vector; b is a plant function type n long vector;
s2, determining the standard of the land use type, and sequencing the corresponding plant function types;
s3, defining land use types, plant function type grids and conversion coefficients, namely: x is more than or equal to 0ij;ai,bj≤1;And defines:wherein i represents the ith soil utilization type, and j represents the jth plant function type;
s4, determining a penalty coefficient and an objective function, wherein the penalty coefficient is as follows: index of rank pij(P ∈ 2{1, 2, 3, … … m }) constitutes a matrix P of m × n, the objective function being: obtaining the solution of X when the F value is minimum;
s5, solving an optimal solution through linear programming, namely:ImnX≥z,Imnless than or equal to 0; wherein x is the line { { x { ]11,x12,…,x1m},{x21,x22,…,x2m},…{xn1,xn2,…,xnm} extended X derived vector; mn long vectors with z being 0; mn long vectors with o being 1; i ismnIs an mn-order identity matrix;
2. The method of converting land use types into plant function types according to claim 1, wherein a criterion for a land use type is determined, and ranking the plant function types corresponding thereto comprises: and determining the front-to-back sequencing of the plant function types according to the sequence of the correlation degree of the plants and the land types from strong to weak.
3. A terminal, comprising: a memory storing a computer program operable on the processor, and a processor executing the program to perform the steps of the land use type conversion method of plant function type according to any one of claims 1-2.
4. A computer-readable storage medium, characterized in that a computer program is stored thereon, which when executed implements the steps in the method for converting a land use type into a plant function type according to any one of claims 1-2.
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