CN106355334A - Farmland construction area determining method - Google Patents
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Abstract
The invention relates to the field of farmland construction and land consolidation, in particular to a farmland construction area determining method. The method comprises steps of selecting a study area, and performing meshing, mesh unit encoding and data preprocessing on the study area; calculating judgment indexes of comprehensive quality of farmland in a mesh environment; performing normalization processing on the judgment indexes, and calculating and judging weights of the indexes relative to the comprehensive quality of the farmland; evaluating the comprehensive quality of the farmland with a multifactor comprehensive evaluation method, and dividing a high-standard farmland construction area with a natural discontinuity point grading method. Compared with the farmland construction area dividing method based on farmland map spots or administrative regions in the prior art, the farmland construction area determining method evaluates the farmland more scientifically and is more objective and obtains more accurate results through numerical evaluation based on the judgment indexes, high-standard farmland can be obtained through farmland construction, and the construction cost is reduced.
Description
Technical field
The present invention relates to farmland construction and land control field, more particularly to a kind of farmland construction regional determination method,
Grade delimited to farmland construction, provide reference for follow-up height mark farmland of building.
Background technology
Building high standard farmland is to realize the important way that protection of laying equal stress on to quantity-quality is protected in cultivated land protection from quantity
Footpath.Build high standard farmland, be the important channel of reclaiming traditional agriculture, developing modern agriculture, be conducive to playing organizational effect, real
Existing appropriate scale of operation.By high standard farmland construction, just realize centralization and the scale in arable land, break the fragmentary segmentation in arable land
Problem.
High standard farmland construction will consider each side such as productivity of cultivated land, land control difficulty, economic results in society
Face factor.Therefore, construction area one side will consider that the local situation of good farmland quality and arable land are concentrated in flakes, and this is high standard
The intrinsic factor of quasi- farmland construction, on the other hand it is also contemplated that cultivated land utilization level and economic condition, this is that high standard farmland is built
If extrinsic factor, including arable land infrastructure level, regional conditions etc..But in practice, local government and land administration department
In high standard farmland construction, subjectivity occurs greatly, tuple amount lightweight, by some broken, of poor quality, big ploughing of regulation difficulty
Divide construction area into, lead to build being significantly increased of difficulty and cost, build up substantially will of rear difficult to reach high standard farmland
Ask.The appraisement system in the selected high standard farmland construction region in arable land also in the exploratory stage, the calculating of evaluation index is not objective,
Accurately, and typically with arable land figure spot or administrative area it is analyzed for space cell, be unfavorable for information retrieval and renewal.Therefore, such as
What science, rationally delimitation high standard farmland construction region are the major issues of cultivated land protection and construction.
Based on considerations above, the present invention according to the basic principle of high standard farmland construction and requirement, build county town plough into
Select the assessment indicator system in high standard farmland construction region, optimizing index computational methods under grid environment, overall merit is ploughed
Quality, and then the space layout of determination high standard farmland construction and scheduling, are high standard farmland construction and land control carries
For supporting, have broad application prospects and practical value.
Content of the invention
(1) technical problem to be solved
It is an object of the invention to provide the farmland that a kind of science divides county domain high standard farmland construction region and builds sequential
Construction area decision method, solves existing farmland construction and divides subjectivity greatly, divide of poor quality, what farmland construction cost improved asks
Topic.
(2) technical scheme
In order to solve above-mentioned technical problem, the present invention provides a kind of farmland construction regional determination method, comprising:
Determine survey region, and obtain the farmland quality data of described survey region；
Stress and strain model is carried out to described survey region, sets up the space pair between grid cell and described farmland quality data
Should be related to；
Build the Judging index in farmland construction region, calculate each grid cell corresponding Judging index value；
Using extreme difference method for normalizing, described Judging index value is normalized, and is determined using analytic hierarchy process (AHP)
The weight of Judging index arable land comprehensive quality relatively；
UsingDetermine arable land comprehensive quality score, wherein aiFor comprehensive quality score of ploughing；N is to sentence
Determine the sum of index；aiScore for i-th Judging index；wiWeight for i-th Judging index relative arable land comprehensive quality；
Using nature discontinuous point staging, farmland construction region, described agriculture are judged by described arable land comprehensive quality score
Field construction area includes: preferentially builds area, general construction area and should not build area.
It is preferably, described farmland quality data includes: plough classification units at county level, linear ground object and administrative area data, then
Described space stress and strain model being carried out to described survey region, setting up between grid cell and described farmland quality data
Corresponding relation includes:
Create grid；
Grid ownership is determined according to administrative area data；
Grid coding is carried out according to grid ownership, grid coding includes: save administrative division code, districts and cities' administrative division generation
Code, county's administrative division code, small towns administrative division code, village's administrative division code, grid cell sequence code；
Arable land figure spot and linear ground object are connected to grid, the grid obtaining are superimposed with arable land and linear ground object respectively,
Obtain arable land figure spot and the linear ground object of gridding；
Ratio according to intersection calculates cultivated area and linear ground object length in grid cell.
Be preferably, described using extreme difference method for normalizing, described Judging index value is normalized, and utilize layer
Fractional analysis determines that the weight of Judging index arable land comprehensive quality relatively includes:
Determine that described Judging index is direct index or inverse indicators；
Normalized, when Judging index is for direct index, normalization computing formula is:
When Judging index is for inverse indicators, normalization computing formula is:Wherein, siRefer to for i-th judgement
Target normalized value；aiEvaluation object actual value for i-th Judging index；tiEvaluation marginal value for i-th Judging index；
aiEvaluation objective value for i-th index；
Set up factor layer comparator matrix, determine weight v of factor layer relative target layerj；
Set up indicator layer comparator matrix, weight w of agriculture products layer opposing factors layerij；
Using wi=vj·wijWeight w of agriculture products layer relative target layeri, it is considered as the comprehensive matter in Judging index arable land relatively
The weight of amount.
It is preferably, described Judging index includes: the index such as natural, cultivated area ratio, field shape index, arable land are concentrated even
Piece degree, irrigation canals and ditches width, irrigation canals and ditches density, field road width, field road density, farming distance, market of farm produce disturbance degree.
It is preferably, the computational methods of the index such as described arable land nature include:
Using rij=αij·clij·βj,Calculate jth kind and specify the indexes such as the nature of crop；
UsingCalculate the agricultural of i-th NE
The indexes such as ground nature；
Wherein, clijSpecify the farming land the natural quality score of crop for i-th NE jth kind；I compiles for NE
Number；J is to specify crop numbering；K numbers for evaluation index；M is the number of evaluation index；wkWeight for k-th evaluation index；
fijkSpecify the index score value of k-th evaluation index of crop for jth kind in i-th NE, value is (0～100)；rijFor
I-th evaluation unit jth kind specifies the indexes such as the nature of crop；αijLight temperature for jth kind crop or agroclimatic potential productivity index；
βjYield for jth kind crop；
Calculate in each grid cell the index such as averagely natural of arable land figure spot using Area-weighted averaging method, formula is such as
Under:
Wherein tiWeighted mean for the index such as arable land nature in i-th grid cell；sijFor in i-th grid cell
J-th arable land figure spot and the area of grid cell i intersection；aijFor j-th arable land figure spot and grid in i-th grid cell
The indexes such as the arable land nature of unit i intersection.
It is preferably, the calculation of described cultivated area ratio includes: adoptCalculate cultivated area ratio, wherein,
piCultivated area ratio for i-th grid cell；S is the area of grid cell；aijFor j-th arable land in i-th grid cell
The area of figure spot.
It is preferably, the calculating of described field shape index includes:
Merge the arable land figure spot that space length in grid cell is less than distance threshold；
UsingCalculate field shape index, wherein, fdi is field shape index；aiFor i-th net
Total cultivated area in lattice；liFor field girth summation of ploughing in i-th grid cell.
It is preferably, described arable land concentrates the calculating spent in flakes to include:
Determine that key element is inlayed in the space length between the field of arable land, arable land field area and farmland, described farmland is inlayed will
Element includes: field road, irrigation canals and ditches；
Determine decision procedure in flakes, and inlayed according to described decision procedure in flakes, described space length and described farmland will
Element determines whether two arable land fields are connected；
Described decision procedure in flakes is: when the shortest space length between two arable land fields is less than distance threshold, really
Fixed two arable land fields are connected；When two arable land field between space lengths be more than distance threshold, and do not have farmland inlay will
When plain, determine between two arable land fields not in flakes；When only existing farmland and inlay key element between two arable land fields, determine two
Individual arable land field is connected；
According to the space length installation space weight between the field of arable land, space length and space weight are inversely proportional to；
UsingCalculate arable land and concentrate and spend in flakes, wherein, iiciConcentrate for arable land and spend in flakes,
It is worth more big degree in flakes higher；N is the arable land field total number in i-th grid cell；al、akIt is respectively l and plough for k-th
The area of ground field；wlkFor the space length weight between field l and field k, span be 0～1, l and k in flakes when wlk
=1.
It is preferably, described irrigation canals and ditches density, the calculation of described field road density are:Wherein, piFor
The density of irrigation canals and ditches or field road in i grid cell；lijFor j-th strip road in i-th grid cell or irrigation canals and ditches and net
The length of lattice unit i intersection；sijFor the ploughing of j-th arable land figure spot and grid cell i intersection in i-th grid cell
Ground area.
It is preferably, described irrigation canals and ditches width, the computing formula of described field road width are:Wherein tiFor
The weighted mean of i-th grid cell inner evaluation index；sijFor j-th linear ground object and grid list in i-th grid cell
The length of first i intersection；aijIndex for j-th linear ground object and grid cell i intersection in i-th grid cell
Value.
It is preferably, the calculation of described farming distance is:Wherein tiPloughing for i-th grid cell
Make distance；aijArea for j-th arable land figure spot in i-th grid cell.sijFor j-th arable land figure in i-th grid cell
The distance between speckle central point and affiliated residential area.
It is preferably, the computing formula of described market of farm produce disturbance degree is:R=dc/ d, wherein f are agriculture
Trade market clout degree；miFor small towns scaled index；dcFor the actual range between small towns and rural residential area, d is small towns impact half
Footpath.
(3) beneficial effect
The farmland construction regional determination method that the present invention provides, extracts the farmland quality data in county domain, using stress and strain model
Method, grid cell and farmland quality data are set up be connected, corresponding relation, and determine for weighing farmland construction situation
Judging index, carries out numerical computations by Judging index to each grid cell, and is finally obtained after normalization, weight distribution
The scientific numerical value of farmland construction must be evaluated.With pass through plough figure spot or administrative division farmland construction region in prior art
Method compare, the evaluation to farmland is more scientific, and, numerical Evaluation is carried out by Judging index, more objective, result is more accurate
Really, in follow-up farmland construction, construction cost reduces.
Brief description
Fig. 1 is the step schematic diagram of farmland construction area decision method in one embodiment of the invention；
Fig. 2 is grid cell coded method schematic diagram in one embodiment of the invention；
Fig. 3 is the Natural quality of cultivated land spatial distribution map of survey region in one embodiment of the invention；
Fig. 4 is the arable land spatial shape score space scattergram of survey region in one embodiment of the invention；
Fig. 5 is the arable land infrastructure score space scattergram of survey region in one embodiment of the invention；
Fig. 6 is the arable land regional conditions score space scattergram of survey region in one embodiment of the invention；
Fig. 7 is high standard farmland construction regional planning figure in one embodiment of the invention.
Specific embodiment
With reference to the accompanying drawings and examples, the specific embodiment of the present invention is described in further detail.Following instance
For the present invention is described, but it is not limited to the scope of the present invention.
Based on adopting subjective determination existing farmland construction regional determination method, using the side of arable land figure spot and administrative region more
Formula divides, and leads to tuple amount lightweight, the big problem of high standard farmland construction cost, the present invention provides a kind of farmland construction region
Decision method.
This farmland construction regional determination method, as shown in figure 1, comprising:
Step 110, determines survey region, and obtains the farmland quality data of survey region；
Survey region is typically chosen county domain scope, and farmland quality data is vector data form.Farmland quality data is general
Including classification units at county level, linear ground object, the administrative division data etc. of ploughing.Strict inspection is carried out to data such as farmland quality data
Look into, rejecting abnormalities value is it is ensured that the reliability of data.
Step 210, carries out stress and strain model to survey region, sets up the space pair between grid cell and farmland quality data
Should be related to；
This step is the important step of grid environment evaluation arable land comprehensive quality, by this step, farmland quality data is entered
Row gridding divides, and is the ready work of calculating of the corresponding Judging index of subsequent meshes unit.This step specifically expands into:
Step 2110, creates grid；
Select between the 1km × 1km regular grid unit between arable land figure spot and administrative village yardstick, using arcgis's
Fishnet instrument creation grid, arranges grid cell size, generates 1km × 1km grid；
It should be noted that present inventive concept is to provide a kind of ideasand methods of farmland construction regional determination, in method
During execution, those skilled in the art can determine sizing grid according to specific survey region.Adopt in the present embodiment
With 1km × 1km grid.And, with the development of technology, the instrument creating grid can also adaptability change.
Step 2120, determines grid ownership according to administrative division data；
Determine that grid ownership determines administrative area belonging to each grid cell it is contemplated that the mesh scale adopting is less,
Grid ownership can be determined according to the ownership of arable land figure spot, the least unit of ownership is administrative village.
Step 2130, carries out grid coding according to grid ownership, and grid coding includes: saves administrative division code, districts and cities
Administrative division code, county's administrative division code, small towns administrative division code, village's administrative division code, grid cell sequence code；
Due to being provided with grid ownership, need to embody this grid ownership, as the tool of grid coding in grid coding
Body coded system can as the case may be depending on, lay special stress on protecting is by grid coding, grid cell to be given uniquely herein
Property position restriction, be beneficial to position during follow-up farmland construction regional determination and correspond to accuracy.
Next, Fig. 2 provides a kind of grid coding example: using 16 bit digital, grid is encoded, be 2 provinces successively
Administrative division code, 2 districts and cities' administrative division codes, 2 county's administrative division codes, 3 villages (towns) administrative division codes, 3
Village's administrative division code and 4 grid cell sequence codes.
Step 2140, by arable land figure spot and linear ground object be connected to grid, by the grid obtaining respectively with arable land and wire
Atural object is superimposed, and obtains arable land figure spot and the linear ground object of gridding；
In arcgis software platform (in other embodiments, other grids can be replaced by and create platform), will plough
Ground figure spot space is connected to grid；The grid obtaining is superimposed with arable land and linear ground object respectively, the geometry after being superimposed
Occur simultaneously, i.e. arable land figure spot after gridding and linear ground object.
Step 2150, the ratio according to intersection calculates cultivated area and linear ground object length in grid cell.
The ratio of intersection is mainly area ratio.This step be beneficial to follow-up adjust grid area, the ploughing of certain product
Plant area.
Step 310, builds the Judging index in farmland construction region, calculates each grid cell corresponding Judging index value；
Judging index is the key factor judging high standard farmland construction region, determines Judging index typically from arable land nature
Quality, arable land spatial shape, arable land infrastructure, arable land regional conditions etc. account for.
A. Natural quality of cultivated land index typically has the indexes such as nature to be characterized.
Using Natural quality of cultivated land data as farmland quality basic data, Natural quality of cultivated land can objectively respond area
Farmland quality under the influence of the multiple factors such as domain light wet time, orographic condition, soil.Adopt in Farmland Grading in this technology
The index such as natural is characterizing the natural quality in arable land.Fig. 3 illustrates the scattergram drawn according to the index score such as natural.Concrete determination
Step is:
1) adopt calculated with weighted average method the natural quality score, computing formula:
Wherein, clijSpecify the farming land the natural quality score of crop for i-th NE jth kind；I compiles for NE
Number；J is to specify crop numbering；K numbers for evaluation index；M is the number of evaluation index；wkWeight for k-th evaluation index；
fijkSpecify the index score value of k-th evaluation index of crop for jth kind in i-th NE, value is (0～100).
2) formula of index such as nature of the specified crop of jth kind:
rij=αij·clij·βj
Wherein rijSpecify the indexes such as the nature of crop for i-th evaluation unit jth kind；αijLight temperature for jth kind crop or
Agroclimatic potential productivity index；βjYield for jth kind crop.
3) final Natural quality of cultivated land is calculated according to processed, the computing formula of the index such as natural is as follows:
Wherein riThe indexes such as farming land (arable land) nature for i-th grid cell.
In postorder normalized, the meansigma methodss of the index such as quality, for the continuity stated, provide 4 herein) adopt
Area-weighted averaging method calculates the index such as averagely natural of arable land figure spot in each grid cell, and formula is as follows:
Wherein tiWeighted mean for the index such as arable land nature in i-th grid cell；sijFor in i-th grid cell
J-th arable land figure spot and the area of grid cell i intersection；aijFor j-th arable land figure spot and grid in i-th grid cell
The indexes such as the arable land nature of unit i intersection.
B. the arable land each index of spatial shape calculates
High mark farmland requires that arable land integrated distribution, field are regular, concentrates in flakes.Therefore, this technology chooses cultivated area
Than, field shape index with the spatial shape of concentrating degree reflection arable land in flakes.Fig. 4 shows and is painted according to arable land spatial shape score
The scattergram of system.
1) cultivated area ratio
The computational methods of cultivated area ratio are: the numbering in arable land after matching network element number and gridding, calculate
The area summation in arable land in the range of each grid cell, and result is copied to the cultivated area field of grid cell, ploughed
Ground area is than the result of calculation of index.Formula is as follows:
Wherein, piCultivated area ratio for i-th grid cell；S is the area of grid cell；aijFor
The area of j-th arable land figure spot in i-th grid cell.
2) field shape index
The regular situation of field can be embodied by field shape index.The calculating of field shape index is related to border week of ploughing
Long, if calculating the boundary perimeter summation of all arable lands figure spot, the spatial distribution in arable land cannot be objectively responded.It is based on and examine above
Consider, the present invention proposes a kind of calculative strategy of field shape index: if arable land is spatially adjacent, is merged；Setting
A certain distance threshold value, merges the arable land figure spot that space length is less than distance threshold, as an entirety.Finally adopt such as
Lower formula calculating field shape index:
Wherein, fdi is field shape index；aiFor the total cultivated area in i-th grid；liFor in i-th grid cell
Arable land field girth summation.
3) arable land is concentrated and is spent in flakes
In grid cell, impact arable land concentrate the space that the factor spent in flakes mainly includes between plot (farmland block) away from
Inlay key element from, plot (farmland block) area and farmland, the weight that key element is agricultural production is inlayed in the farmland such as field road and irrigation canals and ditches
Want infrastructure.Determine decision procedure in flakes, and key element is inlayed according to decision procedure in flakes, space length and farmland and determine two
Whether arable land field is connected.This in flakes decision procedure be: when two arable land field between the shortest space lengths be less than apart from threshold
During value, determine that two arable land fields are connected；Space length between two arable land fields is more than distance threshold, and does not have farmland
When inlaying key element, determine between two arable land fields not in flakes；When only existing farmland and inlay key element between two arable land fields,
Determine that two arable land fields are connected.
Space length between plot should be the primary factor that rule considers in flakes, the short distance between two plot
From during less than a certain space length (in flakes) threshold value, then both are spatially connected to；When the distance between two plot are big
In threshold value in flakes and between when not having farmland to inlay key element then it is assumed that between two pieces of arable lands not in flakes；When two arable land plot it
Between when only existing the farmlands such as field road or irrigation canals and ditches and inlaying key element, think what two arable land figure spots were also connected to when calculating.Root
According to the size installation space weight of distance between the field of arable land, distance more large space weight is less, arable land time space weight in flakes
Equal to 1.Concentrate the computing formula spent in flakes as follows:
Wherein, iiciConcentrate for arable land and spend in flakes, be worth more big degree in flakes higher；N is the arable land in i-th grid cell
Field total number；al、akIt is respectively l and the area of k-th arable land field；wlkFor the space length between field l and field k
Weight, span be 0～1, l and k in flakes when wlk=1.
C. the arable land each index of infrastructure calculates
In high standard farmland construction, irrigation canals and ditches and field road, as arable land infrastructure, are to focus the consruction on object.This skill
Art have chosen irrigation canals and ditches width, irrigation canals and ditches density, field road width, four arable land infrastructure indexs of field road density.Fig. 5 shows
Go out the scattergram that arable land infrastructure score is drawn.
1) irrigation canals and ditches density and field road density
Irrigation canals and ditches density and field road density all can be calculated using following formula:
Wherein, piDensity for irrigation canals and ditches or field road in i-th grid cell；lijFor jth in i-th grid cell
Bar road or the length of irrigation canals and ditches and grid cell i intersection；sijFor j-th arable land figure spot and net in i-th grid cell
The cultivated area of lattice unit i intersection；
2) irrigation canals and ditches width and field road width
Using calculated with weighted average method irrigation canals and ditches width and field road width, calculated using following formula:
Wherein tiWeighted mean for i-th grid cell inner evaluation index；sijFor j-th in i-th grid cell
Linear ground object and the length of grid cell i intersection；aijFor j-th linear ground object and grid cell i in i-th grid cell
The desired value of intersection.
D. arable land regional conditions index calculates
1) arable land distance
Farming distance refers to the distance in affiliated residential area of ploughing, and farming distance is more little more is conducive to saving peasant to travel to and fro between
Time between residential area and arable land, thus improve farming Discussing Convenience and the management level to arable land.Computational methods are: calculate net
In lattice unit, each arable land figure spot central point, to the distance in affiliated residential area, then adopts Area-weighted averaging method to calculate grid list
The farming distance of unit.Computing formula is as follows:
Wherein tiFarming distance for i-th grid cell；aijFace for j-th arable land figure spot in i-th grid cell
Long-pending.sijFor the distance between j-th arable land figure spot central point and affiliated residential area in i-th grid cell.
2) market of farm produce disturbance degree
Market of farm produce disturbance degree refers to the influence degree to arable land for the market of farm produce, and market of farm produce distance of ploughing is nearer,
More be conducive to the activity such as the transport of agriculture goods and materials and the sale of agricultural product, the economic benefit in therefore arable land is higher.
Choose small towns as market of farm produce alternate data, the influence degree to arable land for the small towns is calculated using exponential attenuation method.
Small towns data reduction is not subject to administrative ownership shadow between Point element, and rural residential area and small towns when carrying out economic activity
Ring, only related to the space length between them.Therefore refer to " Farmland Grading code ", small towns is calculated using exponential attenuation method
Influence degree to residential area.All there is maximum operating range in each small towns, when residential area is in the range of its operating distance, is then subject to
Its impact, if residential area is affected by multiple small towns, using each small towns disturbance degree sum as the market of farm produce shadow to residential area
Loudness.Small towns can be divided into center cities and towns, emphasis small towns and general small towns, and different grades of small towns power of influence also differs.Agricultural trade
The concrete calculating process of market clout degree is: calculates the distance to the market of farm produce of each rural residential area, calculates the market of farm produce
Disturbance degree to rural residential area, and the ownership relation according to grid and rural residential area, result are assigned to grid, obtain agriculture
The influence degree to arable land for the trade market.Concrete formula is as follows:
R=dc/d
Wherein f is market of farm produce disturbance degree；miFor small towns scaled index；dcFor the reality between small towns and rural residential area
Distance, d is the small towns radius of influence.In this technology, the value of small towns scaled index and the radius of influence is with reference to following form:
Fig. 6 shows the scattergram drawn according to arable land regional conditions score.
Step 410, is normalized to Judging index value using extreme difference method for normalizing；
Because the measurement unit of each evaluation index is inconsistent, between initial data, unified comprehensive evaluation model cannot be set up,
So needing each evaluation index is normalized, realize nondimensionalization.According to constructed index system feature, adopt
Corresponding method for normalizing, all indexs are normalized to 0-1.The present invention mainly adopts pole during index normalized
Difference method for normalizing, specifically includes:
Step 4110, determines that Judging index is direct index or inverse indicators；
Step 4120, according to direct index, inverse indicators, is normalized
When Judging index is for direct index, normalization computing formula is:When Judging index is
During inverse indicators, normalization computing formula is:Wherein, siNormalization for i-th Judging index
Value；aiEvaluation object actual value for i-th Judging index；tiEvaluation marginal value for i-th Judging index；aiRefer to for i-th
Target evaluation objective value；
In practice, the meansigma methodss generally adopting each evaluation object replace, it would however also be possible to employ this index in evaluation object
The value of floor level is replacing；aiFor the evaluation objective value of i-th index, if without reference to standard, adopt expert consulting side
Method determines the optimum selection of desired value, or to be substituted using the value of the top level of this index in each evaluation unit.
Step 510, determines the weight of Judging index arable land comprehensive quality relatively using analytic hierarchy process (AHP)；
When ploughing Quality evaluation, weight reflects the importance degree of index relative target.The present invention is in high standard
In quasi- farmland construction regional assignment, determine that evaluation refers to using analytic hierarchy process (AHP) (analytic hierarchy process, ahp)
Target weight.The present invention first passes through and sets up factor layer comparator matrix, determines the weight of factor layer relative target layer, then sets up
Indicator layer comparator matrix, the weight of agriculture products layer opposing factors layer, the weight of last agriculture products layer relative target layer, thus
Obtain the significance level to arable land comprehensive quality for each evaluation index.Formula is as follows:
wi=vj·wij
Wherein wiWeight for indicator layer relative target layer；vjWeight for factor layer relative target layer；wijFor indicator layer
The weight of opposing factors layer.
Step 610, utilizesDetermine arable land comprehensive quality score
In conjunction with arable land comprehensive quality each index score and weight, arable land comprehensive quality is calculated using Multifactor Comprehensive Evaluation method
Score, formula is as follows:
Wherein aiFor comprehensive quality score of ploughing；N is the sum of Judging index；aiScore for i-th Judging index；wi
Weight for i-th Judging index relative arable land comprehensive quality；
Step 710, using nature discontinuous point staging, by ploughing, comprehensive quality score judges farmland construction region.
Comprehensive score is divided into three-level using natural discontinuous point staging by Comprehensive Appraisal Study area arable land comprehensive quality,
Research area's high standard farmland construction is divided into preferential construction area, general construction area and should not build area.Fig. 7 gives high standard agriculture
Field construction area planning chart.
The technical scheme that this technology provides has the advantages that using carrying out stress and strain model to survey region first
Method, using grid cell as the evaluation unit of arable land comprehensive quality, solves Issues On Multi-scales when evaluation index calculates, with
When it is easy to data retrieval and renewal.According to the basic demand of high standard farmland construction, from Natural quality of cultivated land, spatial shape, base
Infrastructure level and four aspects of regional conditions choose 10 evaluation indexes, build arable land Quality evaluation index system,
Under grid environment, using Area-dominant method, weighted mean method and Central Point Method, calculate each evaluation index score value and adopt range method
It is normalized.Determine the weight of each evaluation index using analytic hierarchy process (AHP), finally adopt Multifactor Comprehensive Evaluation method
Calculate arable land comprehensive quality score, and it is ranked up and is classified using interruption staging naturally, and then Research on partition area is high
Standard farmland construction region and construction sequential, the methods and techniques scheme that this technology provides can be county domain and high standard farmland construction
There is provided with land control planning and support.
Criterion about high standard farmland construction can refer to " high standard farmland construction general rule (gbt30600-
2014)》.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement made etc., should be included within the scope of the present invention.
Claims (10)
1. a kind of farmland construction regional determination method is it is characterised in that include:
Determine survey region, and obtain the farmland quality data of described survey region；
Stress and strain model is carried out to described survey region, sets up the corresponding pass in space between grid cell and described farmland quality data
System；
Build the Judging index in farmland construction region, calculate each grid cell corresponding Judging index value；
Using extreme difference method for normalizing, described Judging index value is normalized, and determines judgement using analytic hierarchy process (AHP)
The weight of index arable land comprehensive quality relatively；
UsingDetermine arable land comprehensive quality score, wherein aiFor comprehensive quality score of ploughing；N is Judging index
Sum；aiScore for i-th Judging index；wiWeight for i-th Judging index relative arable land comprehensive quality；
Using nature discontinuous point staging, farmland construction region is judged by described arable land comprehensive quality score, described farmland is built
If region includes: preferentially build area, general construction area and area should not be built.
2. farmland construction regional determination method as claimed in claim 1 it is characterised in that
Described farmland quality data includes: plough classification units at county level, linear ground object and administrative area data；
Then,
Described stress and strain model is carried out to described survey region, the space set up between grid cell and described farmland quality data is corresponding
Relation includes:
Create grid；
Grid ownership is determined according to administrative area data；
Grid coding is carried out according to grid ownership, grid coding includes: save administrative division code, districts and cities' administrative division code,
County's administrative division code, small towns administrative division code, village's administrative division code, grid cell sequence code；
Arable land figure spot and linear ground object are connected to grid, the grid obtaining are superimposed with arable land and linear ground object respectively, obtain
The arable land figure spot of gridding and linear ground object；
Ratio according to intersection calculates cultivated area and linear ground object length in grid cell.
3. farmland construction regional determination method as claimed in claim 1 is it is characterised in that described employing extreme difference method for normalizing
Described Judging index value is normalized, and determines Judging index arable land comprehensive quality relatively using analytic hierarchy process (AHP)
Weight, comprising:
Determine that described Judging index is direct index or inverse indicators；
Normalized, when Judging index is for direct index, normalization computing formula is:When sentencing
When determining index for inverse indicators, normalization computing formula is:Wherein, siFor i-th Judging index
Normalized value；aiEvaluation object actual value for i-th Judging index；tiEvaluation marginal value for i-th Judging index；aiFor
The evaluation objective value of i-th index；
Set up factor layer comparator matrix, determine weight v of factor layer relative target layerj；
Set up indicator layer comparator matrix, weight w of agriculture products layer opposing factors layerij；
Using wi=vj.wijWeight w of agriculture products layer relative target layeri, it is considered as the power of Judging index arable land comprehensive quality relatively
Weight.
4. the farmland construction regional determination method as described in any one of claim 1-3 is it is characterised in that described Judging index bag
Include: degree, irrigation canals and ditches width, irrigation canals and ditches density, field road in flakes are concentrated in the index such as natural, cultivated area ratio, field shape index, arable land
Degree of having a lot of social connections, field road density, farming distance, market of farm produce disturbance degree.
5. farmland construction regional determination method as claimed in claim 4 is it is characterised in that the meter of the index such as described arable land nature
Calculation method includes:
Using rij=αij.clij.βj,Calculate jth kind and specify the indexes such as the nature of crop；
UsingCalculate the farming land of i-th NE certainly
So wait index；
Wherein, clijSpecify the farming land the natural quality score of crop for i-th NE jth kind；I numbers for NE；j
For specifying crop numbering；K numbers for evaluation index；M is the number of evaluation index；wkWeight for k-th evaluation index；fijk
Specify the index score value of k-th evaluation index of crop for jth kind in i-th NE, value is (0～100)；rijFor i-th
Individual evaluation unit jth kind specifies the indexes such as the nature of crop；αijLight temperature for jth kind crop or agroclimatic potential productivity index；βj
Yield for jth kind crop.
6. farmland construction regional determination method as claimed in claim 4 is it is characterised in that the calculating side of described cultivated area ratio
Formula includes: adoptsCalculate cultivated area ratio, wherein, piCultivated area ratio for i-th grid cell；S is net
The area of lattice unit；aijArea for j-th arable land figure spot in i-th grid cell.
7. farmland construction regional determination method as claimed in claim 4 is it is characterised in that the calculating of described field shape index
Including:
Merge the arable land figure spot that space length in grid cell is less than distance threshold；
UsingCalculate field shape index, wherein, fdi is field shape index；aiFor in i-th grid
Total cultivated area；liFor field girth summation of ploughing in i-th grid cell.
8. farmland construction regional determination method as claimed in claim 4 is it is characterised in that the meter spent in flakes is concentrated in described arable land
Calculate and include:
Determine that key element is inlayed in the space length between the field of arable land, arable land field area and farmland, key element bag is inlayed in described farmland
Include: field road, irrigation canals and ditches；
Determine decision procedure in flakes, and it is true to inlay key element according to described decision procedure in flakes, described space length and described farmland
Whether fixed two arable land fields are connected；
According to the space length installation space weight between the field of arable land, space length and space weight are inversely proportional to；
UsingCalculate arable land and concentrate and spend in flakes, wherein, iiciConcentrate for arable land and spend in flakes,
It is worth more big degree in flakes higher；N is the arable land field total number in i-th grid cell；al、akIt is respectively l and plough for k-th
The area of ground field；wlkFor the space length weight between field l and field k, span be 0～1, l and k in flakes when wlk
=1.
9. farmland construction regional determination method as claimed in claim 4 it is characterised in that
Described irrigation canals and ditches density, the calculation of described field road density are:Wherein, piFor i-th grid cell
Interior irrigation canals and ditches or the density of field road；lijIt is j-th strip road in i-th grid cell or irrigation canals and ditches are intersected with grid cell i
Partial length；sijCultivated area for j-th arable land figure spot and grid cell i intersection in i-th grid cell；
And/or,
Described irrigation canals and ditches width, the computing formula of described field road width are:Wherein tiFor i-th grid cell
The weighted mean of inner evaluation index；sijFor j-th linear ground object and grid cell i intersection in i-th grid cell
Length；aijDesired value for j-th linear ground object and grid cell i intersection in i-th grid cell.
10. farmland construction regional determination method as claimed in claim 4 it is characterised in that
The calculation of described farming distance is:Wherein tiFarming distance for i-th grid cell；aijFor
The area of j-th arable land figure spot in i-th grid cell.sijFor j-th arable land figure spot central point and institute in i-th grid cell
Belong to the distance between residential area；
And/or,
The computing formula of described market of farm produce disturbance degree is:R=dc/ d, wherein, wherein f is market of farm produce shadow
Loudness；miFor small towns scaled index；dcFor the actual range between small towns and rural residential area, d is the small towns radius of influence.
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