CN106503178B - Automatic method and device for evaluating land ecological quality - Google Patents
Automatic method and device for evaluating land ecological quality Download PDFInfo
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Abstract
The invention discloses an automatic method for evaluating the soil ecological quality, which comprises the four steps of constructing an optimization evaluation system, acquiring original data, calculating to generate a soil ecological quality evaluation result, warehousing the soil ecological quality evaluation result to finish evaluation and the like. The method has high data operation processing efficiency, considerable and fair data processing process and small influence of human factors, thereby effectively improving the accuracy and reliability of the land ecological quality evaluation result, simultaneously effectively reducing the labor intensity and the working cost of the land ecological quality evaluation work, simultaneously achieving the purpose of improving the working efficiency, being beneficial to realizing digital conversion, storage and transmission of the land ecological quality evaluation result data, and achieving the purposes of improving the convenience, stability and reliability of exchanging and storing the farmland evaluation result data.
Description
Technical Field
The invention relates to an automatic method and device for evaluating land ecological quality, belonging to the technical field of land or ecological planning.
Background
With the rapid development of economic society and the continuous promotion of new urbanization, industrialization and agricultural modernization, the intensity of human land resource utilization is continuously increased, and the land ecological problem becomes a hotspot problem researched by all communities [ i ] [ ii ] [ iii ]. At present, research is carried out on theoretical technical methods such as city scale land ecological quality evaluation, spatial differentiation characteristic analysis and differentiation main control factor identification, land ecological management and protection zoning, regulation and control and the like. In the evaluation process, selection of evaluation units, selection and standardization of an evaluation index system and calculation of an evaluation model are generally input through manual summary, calculation statistics is carried out through human-computer interaction for multiple times by using tools such as excel tables and the like, the process is complex, and the workload is large, so that the land ecological quality evaluation and the spatial differentiation informatization research are imperative in order to improve the working efficiency of the land ecological quality evaluation.
The evaluation unit mainly aims at the sensitivity reflected by the geographic entity, the actual application requirement and the space superposition analysis and calculation of various data, and usually adopts the method that the superposition analysis is carried out through Arcgis, then the excel table is utilized to carry out manual collection for multiple times, and then the calculation is carried out. The evaluation unit is provided with a proper spatial scale, on one hand, detailed data information on a small scale can be covered due to overlarge evaluation scale, and the whole regional information cannot be replaced by applying local information; on the other hand, the excessive size of the evaluation unit can cause the omission of detailed data, and the insufficient size of the two units can cause the result to be broken, so that the readability is reduced, and even the data size is too large to be processed. The prior art lacks of uniform extraction and manual operation of the evaluation units, and the workload and difficulty are increased.
An index system for evaluating the ecological quality condition of the land under various scales is constructed from the four aspects of the ecological background, the stress, the structure and the benefit of the land. And respectively adopting range standardization, extremum standardization and interval standardization methods to carry out standardization processing on the corresponding indexes for the forward index, the reverse index and the interval index. The current processing method is to manually input corresponding standardized formulas according to standardized modes of different indexes through an excel table, and calculate and summarize the standardized formulas. In the prior art, manual matching input calculation is often adopted, so that not only is the man-machine interaction frequent and the efficiency low, but also the operation processing time and the operation workload are multiplied with the increase of the number of entities; meanwhile, the manual processing quality is often influenced and disturbed by uncertain factors such as operator proficiency and labor intensity, errors are easy to occur, and inspection and checking are not facilitated. The standardization of different index systems usually adopts different calculation methods, takes a lot of manpower and time and is easy to make mistakes.
An ideal point model is an analysis method of multi-objective decision, namely, two-dimensional space data of the distance between each evaluation index and a positive ideal solution and a negative ideal solution is constructed by designing the positive ideal solution and the negative ideal solution of each evaluation index, the relative proximity index of each evaluation unit to the ideal solutions is calculated, and the greater the relative proximity index of each evaluation unit is, the better the land ecological quality of the evaluation unit is; clustering analysis refers to an analytical process that groups a collection of physical or abstract objects into classes composed of similar objects, which are appropriately classified by relatively vague concepts such as similarities, closeness, or closeness of relationships among samples. Currently, the calculation of the model is usually performed manually through special software or excel tables. In the prior art, the required calculation steps are relatively complex, multiple times of man-machine interaction calculation are easy to cause careless mistakes and difficult to check, more manpower and time are spent, and the operability is deficient; the calculation using professional software is less targeted for land ecology evaluation.
The invention provides an automatic method for realizing land ecological quality evaluation based on Arcengine secondary development and net language interactive development, which mainly solves the problems of automatic extraction of an evaluation unit, batch import and standardized processing of an evaluation index system, automatic calculation of an evaluation model and the like. And the repeated and complicated man-machine interaction is reduced, and the operation and the use are convenient.
Disclosure of Invention
The invention aims to provide an automatic method and device for evaluating soil ecological quality.
In order to achieve the purpose, the invention is implemented according to the following technical scheme:
an automatic method for evaluating soil ecological quality comprises the following steps:
firstly, constructing an optimization evaluation system, firstly constructing an automatic data operation system for land ecological quality evaluation in a computer system and standby for standby, wherein the automatic data operation system for land ecological quality evaluation is formed by performing secondary development and net language-based interactive development on the basis of Arecingine, and constructing a system background database based on an SQL platform;
secondly, acquiring original data, namely firstly determining the land area range of the ecological quality to be evaluated, and then acquiring relevant evaluation parameter data of the land area of the ecological quality to be evaluated from the original data mainly by looking up five channels of basic geographic data, remote sensing image data, land basic business data, soil physicochemical property and pollution data and meteorological and statistical data;
thirdly, calculating and generating a land ecological quality evaluation result, carrying out operation processing on related evaluation parameter data of the land area to be evaluated in ecological quality by using the automatic data operation system for land ecological quality evaluation constructed in the first step according to the land area parameter data of the ecological quality to be evaluated entered into the system in the second step, and carrying out two aspects of evaluation of adaptability and stability on the land area range of the ecological quality to be evaluated;
fourthly, warehousing the land ecological quality evaluation results to finish evaluation, correspondingly and independently storing the land ecological quality evaluation results obtained by calculation in the third step according to the land area range of the ecological quality to be evaluated, and respectively storing the land ecological quality evaluation results into the system background database of the automatic data operation system for land ecological quality evaluation constructed in the first step
Further, the basic geographic data in the second step comprise DEM data, administrative district boundaries of villages, villages and counties and the like; the remote sensing image data refers to remote sensing images of research years in a research area and SPOT5 image data; the land basic business data comprises land utilization change data of research years, grading results of agricultural land of a research area, a general land utilization planning database of the research area and general city planning; the soil physicochemical property and pollution data are derived from multi-target geochemical survey data, auxiliary field survey soil sampling data and basic soil fertility survey data of agricultural departments; the meteorological and statistical data are mostly from rainfall observation data of meteorological sites in research areas, and data contents such as the statistical yearbook of the research areas.
Furthermore, at least one data management module and at least one map management module are additionally arranged in the automatic data operation system for land ecological quality evaluation constructed in the first step.
Further, the data management module includes: reading evaluation index set unit, normalization processing unit and index comprehensive evaluation unit, wherein:
reading an evaluation index set unit: the system background database is connected with the system background database, whether a system background database data source is empty or not is judged, the reading index set is determined, and then the evaluation index measured value of each evaluation unit is read through the reading index set;
a normalization processing unit: connecting with a system background database, judging whether a system background database data source is empty or not, if so, connecting with the system background database again and reading data, if not, editing and operating the evaluation indexes according to the evaluation standard data requirements through C #, NET languages, giving weights to the evaluation indexes, simultaneously selecting and determining evaluation models, carrying out evaluation quality grading according to the algorithm of each model, and finally replacing the data in the previous system background database with the result after the normalization processing and storing the result;
a comprehensive evaluation unit: defining an array and a result array, assigning the defined array, calculating the array after realizing an evaluation model algorithm through C #, NET languages, and newly building and warehousing the calculated result array to obtain an index comprehensive evaluation result.
Further, in the comprehensive evaluation unit, a weighted normalized decision matrix R is established according to the normalized data of each evaluation index of the land ecological quality:
rij is a criterion layer value obtained by performing index weighting calculation on the j item of the ith evaluation unit. i is 1,2, …, m; j is 1,2,3, 4;
establishing a weighted normalized decision matrix V according to the constructed normalized decision matrix R and the determined index weights:
vij is a weighted value obtained by multiplying the j item criterion layer value of the ith evaluation unit by the criterion layer weight. i is 1,2, …, m; j is 1,2,3, 4;
and determining a positive ideal solution (Z +), a negative ideal solution (Z-), a virtual worst solution (Z), wherein:
the positive ideal solution (Z +) function model is:
the negative ideal solution (Z-) function model is:
the virtual worst solution (Z) function model is:
and respectively calculating the distance (Z +) from the evaluation vector of the different land ecological quality units to the positive ideal solution and the distance (Z) from the virtual worst solution according to the positive ideal solution (Z +), the negative ideal solution (Z-), wherein:
the distance to the positive ideal solution (Z +) is:
the distance to the virtual worst solution (Z) is:
and the relative closeness index Ci of each evaluation unit of the land ecological quality to the ideal solution is calculated
The relative closeness index Ci of each land ecological quality evaluation unit to the ideal solution is between 0 and 1, and the larger the Ci value is, the higher the land ecological quality level of the ith land ecological quality evaluation unit is, the closer the land ecological quality level is to the optimal level.
Further, in the third step, the land unit division and the administrative unit division specifically include:
(1) firstly, loading a land area map of each ecological quality to be evaluated, temporarily storing the map layer of each land area map of the ecological quality to be evaluated in an automatic data operation system for land ecological quality evaluation, judging whether the current map content is empty by the automatic data operation system for land ecological quality evaluation, if so, returning to the main page of the automatic data operation system for land ecological quality evaluation, and if not, carrying out the next step;
(2) associating the original data source acquired in the second step to select and evaluate the layer content of the land area map where the current ecological quality to be evaluated is located;
(3) performing operation screening on each relevant data of the current layer through an automatic data operation system for land ecological quality evaluation, and acquiring a unique value according to a layer data field;
(4) exporting a land area map evaluation value of the ecological quality to be evaluated corresponding to the current map layer, and then returning to the step (1), performing other land area map data processing of the ecological quality to be evaluated, and terminating the operation until all land area map data processing of the ecological quality to be evaluated recorded in an automatic data operation system for land ecological quality evaluation are finished;
(5) and (4) dividing the land area map evaluation values of the ecological quality to be evaluated, which are obtained in the step (4), into mutually independent evaluation units respectively, and outputting and reserving the contents of the evaluation units.
Further, in the third step, when the automatic data operation system for evaluating the land ecological quality constructed in the first step is used for performing operation processing on the relevant evaluation parameter data of the land area to be evaluated for ecological quality, the evaluation index meter land ecological evaluation index types mainly include three types of indexes presenting positive and negative relations and interval type relations, wherein:
the indexes of the forward relation are standardized by an extreme method, and a data operation function model is as follows:
or
The index standardization processing of the negative relation adopts range standardization and extreme value standardization, and a data operation function model is as follows:
or
Where yij is the normalized value, xij is the actual value of the evaluation factor, and max (xj), min (xj) are the maximum and minimum values of the j-th evaluation factor.
The method has high data operation processing efficiency, considerable and fair data processing process and small influence of human factors, thereby effectively improving the accuracy and reliability of the land ecological quality evaluation result, simultaneously effectively reducing the labor intensity and the working cost of the land ecological quality evaluation work, simultaneously achieving the purpose of improving the working efficiency, being beneficial to realizing digital conversion, storage and transmission of the land ecological quality evaluation result data, and achieving the purposes of improving the convenience, stability and reliability of exchanging and storing the farmland evaluation result data.
Drawings
The invention is described in detail below with reference to the drawings and the detailed description
FIG. 1: the automatic data operation system structure chart of the land ecological quality evaluation;
FIG. 2: a data management module workflow diagram;
FIG. 3: map management module workflow diagram;
FIG. 4: the invention relates to a flow chart of a land ecological quality evaluation method.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1-4, an automated method for evaluating soil ecology quality includes the following steps:
firstly, constructing an optimization evaluation system, firstly constructing an automatic data operation system for land ecological quality evaluation in a computer system and standby for standby, wherein the automatic data operation system for land ecological quality evaluation is formed by performing secondary development and net language-based interactive development, and constructing a system background database, at least one data management module and at least one map management module based on an SQL platform;
secondly, acquiring original data, namely firstly determining the land area range of the ecological quality to be evaluated, and then acquiring relevant evaluation parameter data of the land area of the ecological quality to be evaluated from the original data mainly by looking up five channels of basic geographic data, remote sensing image data, land basic service data, soil physicochemical property and pollution data, meteorological data and statistical data, wherein the basic geographic data comprises DEM data, village-level, county-level administrative district boundaries and the like; the remote sensing image data refers to remote sensing images of research years in a research area and SPOT5 image data; the land basic business data comprises land utilization change data of research years, grading results of agricultural land of a research area, a general land utilization planning database of the research area and general city planning; the soil physicochemical property and pollution data are derived from multi-target geochemical survey data, auxiliary field survey soil sampling data and basic soil fertility survey data of agricultural departments; the meteorological and statistical data are mostly from rainfall observation data of meteorological sites in a research area, and data contents such as a research area statistical yearbook and the like;
thirdly, calculating and generating a land ecological quality evaluation result, carrying out operation processing on related evaluation parameter data of the land area to be evaluated in ecological quality by using the automatic data operation system for land ecological quality evaluation constructed in the first step according to the land area parameter data of the ecological quality to be evaluated entered into the system in the second step, and carrying out two aspects of evaluation of adaptability and stability on the land area range of the ecological quality to be evaluated;
fourthly, warehousing the land ecological quality evaluation results to finish evaluation, correspondingly and independently storing the land ecological quality evaluation results obtained by calculation in the third step according to the land area range of the ecological quality to be evaluated, and respectively storing the land ecological quality evaluation results into the system background database of the automatic data operation system for land ecological quality evaluation constructed in the first step
In this embodiment, the data management module includes: reading evaluation index set unit, normalization processing unit and index comprehensive evaluation unit, wherein:
reading an evaluation index set unit: the system background database is connected with the system background database, whether a system background database data source is empty or not is judged, the reading index set is determined, and then the evaluation index measured value of each evaluation unit is read through the reading index set;
a normalization processing unit: connecting with a system background database, judging whether a system background database data source is empty or not, if so, connecting with the system background database again and reading data, if not, editing and operating the evaluation indexes according to the evaluation standard data requirements through C #, NET languages, giving weights to the evaluation indexes, simultaneously selecting and determining evaluation models, carrying out evaluation quality grading according to the algorithm of each model, and finally replacing the data in the previous system background database with the result after the normalization processing and storing the result;
a comprehensive evaluation unit: defining an array and a result array, assigning the defined array, calculating the array after realizing an evaluation model algorithm through C #, NET languages, and newly building and warehousing the calculated result array to obtain an index comprehensive evaluation result.
In this embodiment, in the comprehensive evaluation unit, a weighted normalized decision matrix R is established according to the normalized data of each evaluation index of the land ecological quality:
rij is a criterion layer value obtained by performing index weighting calculation on the j item of the ith evaluation unit. i is 1,2, …, m; j is 1,2,3, 4;
establishing a weighted normalized decision matrix V according to the constructed normalized decision matrix R and the determined index weights:
vij is a weighted value obtained by multiplying the j item criterion layer value of the ith evaluation unit by the criterion layer weight. i is 1,2, …, m; j is 1,2,3, 4;
and determining a positive ideal solution (Z +), a negative ideal solution (Z-), a virtual worst solution (Z), wherein:
the positive ideal solution (Z +) function model is:
the negative ideal solution (Z-) function model is:
the virtual worst solution (Z) function model is:
and respectively calculating the distance (Z +) from the evaluation vector of the different land ecological quality units to the positive ideal solution and the distance (Z) from the virtual worst solution according to the positive ideal solution (Z +), the negative ideal solution (Z-), wherein:
the distance to the positive ideal solution (Z +) is:
the distance to the virtual worst solution (Z) is:
and the relative closeness index Ci of each evaluation unit of the land ecological quality to the ideal solution is calculated
The relative closeness index Ci of each land ecological quality evaluation unit to the ideal solution is between 0 and 1, and the larger the Ci value is, the higher the land ecological quality level of the ith land ecological quality evaluation unit is, the closer the land ecological quality level is to the optimal level.
In this embodiment, in the third step, the land unit division and the administrative unit division specifically include:
(1) firstly, loading a land area map of each ecological quality to be evaluated, temporarily storing the map layer of each land area map of the ecological quality to be evaluated in an automatic data operation system for land ecological quality evaluation, judging whether the current map content is empty by the automatic data operation system for land ecological quality evaluation, if so, returning to the main page of the automatic data operation system for land ecological quality evaluation, and if not, carrying out the next step;
(2) associating the original data source acquired in the second step to select and evaluate the layer content of the land area map where the current ecological quality to be evaluated is located;
(3) performing operation screening on each relevant data of the current layer through an automatic data operation system for land ecological quality evaluation, and acquiring a unique value according to a layer data field;
(4) exporting a land area map evaluation value of the ecological quality to be evaluated corresponding to the current map layer, and then returning to the step (1), performing other land area map data processing of the ecological quality to be evaluated, and terminating the operation until all land area map data processing of the ecological quality to be evaluated recorded in an automatic data operation system for land ecological quality evaluation are finished;
(5) and (4) dividing the land area map evaluation values of the ecological quality to be evaluated, which are obtained in the step (4), into mutually independent evaluation units respectively, and outputting and reserving the contents of the evaluation units.
In this embodiment, in the third step, when the automatic data operation system for evaluating land ecological quality constructed in the first step is used to perform operation processing on the relevant evaluation parameter data of the land area to be evaluated for ecological quality, the evaluation index meter type of the land ecological evaluation index mainly includes three types, namely an index presenting a positive direction relation, an index presenting a negative direction relation and an interval type relation, where:
the indexes of the forward relation are standardized by an extreme method, and a data operation function model is as follows:
or
The index standardization processing of the negative relation adopts range standardization and extreme value standardization, and a data operation function model is as follows:
or
Where yij is the normalized value, xij is the actual value of the evaluation factor, and max (xj), min (xj) are the maximum and minimum values of the j-th evaluation factor.
It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. An automatic method for evaluating the ecological quality of land is characterized by comprising the following steps:
firstly, constructing an optimization evaluation system, firstly constructing an automatic data operation system for land ecological quality evaluation in a computer system and standby for standby, wherein the automatic data operation system for land ecological quality evaluation is formed by performing secondary development and net language-based interactive development on the basis of Arecingine, and constructing a system background database based on an SQL platform;
secondly, acquiring original data, namely firstly determining the land area range of the ecological quality to be evaluated, and then acquiring relevant evaluation parameter data of the land area of the ecological quality to be evaluated from the original data through five channels of consulting basic geographic data, remote sensing image data, land basic business data, soil physicochemical property and pollution data and meteorological and statistical data;
thirdly, calculating and generating a land ecological quality evaluation result, carrying out operation processing on related evaluation parameter data of the land area to be evaluated in ecological quality by using the automatic data operation system for land ecological quality evaluation constructed in the first step according to the land area parameter data of the ecological quality to be evaluated entered into the system in the second step, and carrying out two aspects of evaluation of adaptability and stability on the land area range of the ecological quality to be evaluated;
fourthly, warehousing the land ecological quality evaluation results to finish evaluation, correspondingly and independently storing the land ecological quality evaluation results obtained by calculation in the third step according to the land area range of the ecological quality to be evaluated, and respectively storing the land ecological quality evaluation results into a system background database of the automatic data operation system for land ecological quality evaluation constructed in the first step;
in the third step, the land unit division and the administrative unit division specifically comprise the following steps:
(1) firstly, loading a land area map of each ecological quality to be evaluated, temporarily storing the land area map of each ecological quality to be evaluated in a map layer of an automatic data operation system for land ecological quality evaluation, judging whether the current map content is empty by the automatic data operation system for land ecological quality evaluation, if so, returning to the homepage of the automatic data operation system for land ecological quality evaluation, and if not, carrying out the next step;
(2) associating the original data source acquired in the second step to select and evaluate the layer content of the land area map where the current ecological quality to be evaluated is located;
(3) performing operation screening on each relevant data of the current layer through an automatic data operation system for land ecological quality evaluation, and acquiring a unique value according to a layer data field;
(4) exporting a land area map evaluation value of the ecological quality to be evaluated corresponding to the current map layer, returning to the step (1), performing other land area map data processing of the ecological quality to be evaluated until all land area map data processing of the ecological quality to be evaluated recorded in an automatic data operation system for land ecological quality evaluation are finished;
(5) dividing the land area map evaluation values of the ecological quality to be evaluated, which are obtained in the step (4), into mutually independent evaluation units respectively, and outputting and reserving the contents of the evaluation units;
in the first step, at least one data management module and at least one map management module are additionally arranged in an automatic data operation system for constructing land ecological quality evaluation;
the data management module comprises: reading evaluation index set unit, normalization processing unit and index comprehensive evaluation unit, wherein:
reading an evaluation index set unit: the system background database is connected with the system background database, whether a system background database data source is empty or not is judged, the reading index set is determined, and then the evaluation index measured value of each evaluation unit is read through the reading index set;
a normalization processing unit: connecting with a system background database, judging whether a system background database data source is empty or not, if so, connecting with the system background database again and reading data, if not, editing and operating the evaluation indexes according to the evaluation standard data requirements through C #, NET languages, giving weights to the evaluation indexes, simultaneously selecting and determining evaluation models, carrying out evaluation quality grading according to the algorithm of each model, and finally replacing the data in the previous system background database with the result after the normalization processing and storing the result;
a comprehensive evaluation unit: defining an array and a result array, assigning the defined array, calculating the array after realizing an evaluation model algorithm through C #, NET languages, and newly building and warehousing the calculated result array to obtain an index comprehensive evaluation result.
2. The automated method for evaluating the ecological quality of the soil as claimed in claim 1, wherein the basic geographic data in the second step comprises DEM data, boundaries of administrative districts at villages, villages and counties; the remote sensing image data refers to remote sensing images of research years in a research area and SPOT5 image data; the land basic business data comprises land utilization change data of research years, grading results of agricultural land of a research area, a general land utilization planning database of the research area and general city planning; the soil physicochemical property and pollution data are derived from multi-target geochemical survey data, auxiliary field survey soil sampling data and basic soil fertility survey data of agricultural departments; the meteorological data and the statistical data are mostly from precipitation observation data of meteorological sites in the research area, and the content of the data of the statistical yearbook in the research area.
3. The automated method for evaluating the ecological quality of the land as claimed in claim 1, wherein in the comprehensive evaluation unit, a weighted normalized decision matrix R is established according to the normalized data of each evaluation index of the ecological quality of the land:
rijobtaining a criterion layer value for j items of the ith evaluation unit through index weighting calculation; i is 1,2, …, m; j is 1,2,3, 4;
establishing a weighted normalized decision matrix V according to the constructed normalized decision matrix R and the determined index weights:
vijthe weighted value is obtained by multiplying the j item criterion layer value of the ith evaluation unit by the criterion layer weight; i is 1,2, …, m; j is 1,2,3, 4;
and determining a positive ideal solution Z +, a negative ideal solution Z-, a virtual worst solution Z, wherein:
the positive ideal solution Z + function model is:
the negative ideal solution Z-function model is:
the virtual worst solution Z function model is:
and respectively calculating the distance Z + from the evaluation vector of the different units of the land ecological quality to the positive ideal solution and the distance Z from the evaluation vector of the different units of the land ecological quality to the virtual worst solution according to the positive ideal solution Z +, the negative ideal solution Z and the virtual worst solution Z, wherein:
the distance to the positive ideal solution Z + is:
the distance to the virtual worst solution Z is:
and calculating the relative proximity index C of each evaluation unit of the land ecological quality to the ideal solutioni,
Wherein, the relative proximity index C of each evaluation unit of the land ecological quality to the ideal solutioniBetween 0 and 1, CiThe larger the value is, the higher the land ecological quality level of the ith land ecological quality evaluation unit is, the closer to the optimum level is.
4. The automated method for evaluating the ecological quality of the land as claimed in claim 1, wherein in the third step, when the automated data operation system for evaluating the ecological quality of the land constructed in the first step is used for operating and processing the relevant evaluation parameter data of the land area to be evaluated for the ecological quality, the evaluation index meter type of the ecological evaluation index of the land comprises three types of indexes presenting positive relation and negative relation and interval type relation, wherein:
the indexes of the forward relation are standardized by an extreme method, and a data operation function model is as follows:
or
The index standardization processing of the negative relation adopts range standardization and extreme value standardization, and a data operation function model is as follows:
or
Wherein, yijTo a normalized value, xijTo evaluate the actual value of the factor, max (x)j)、min(xj) The maximum value and the minimum value of the j evaluation factor are shown.
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| CN109784771A (en) * | 2019-02-21 | 2019-05-21 | 泰华智慧产业集团股份有限公司 | Based on timing, PCA, cluster land evaluation method |
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