CN103824226A - Ploughing function evaluating method based on GIS (geographic information system) - Google Patents

Ploughing function evaluating method based on GIS (geographic information system) Download PDF

Info

Publication number
CN103824226A
CN103824226A CN201410079691.9A CN201410079691A CN103824226A CN 103824226 A CN103824226 A CN 103824226A CN 201410079691 A CN201410079691 A CN 201410079691A CN 103824226 A CN103824226 A CN 103824226A
Authority
CN
China
Prior art keywords
cultivated land
function
data
gis
evaluation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410079691.9A
Other languages
Chinese (zh)
Inventor
吴大放
吴志峰
刘艳艳
刘毅华
冯艳芬
宋小青
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou University
Original Assignee
Guangzhou University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou University filed Critical Guangzhou University
Priority to CN201410079691.9A priority Critical patent/CN103824226A/en
Publication of CN103824226A publication Critical patent/CN103824226A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention relates to a ploughing function evaluating method based on a GIS (geographic information system). The ploughing function evaluating method based on the GIS comprises the following steps: a, determining a regional ploughing function evaluation target, and respectively selecting representative single-factor evaluation indexes of a ploughing function; b, quantitatively evaluating and calculating the single-factor evaluation indexes by Excel, and meanwhile, vectorizing data obtained from calculation by GIS software; c, grading the data obtained by calculation, endowing the data with corresponding scores, converting the vectorized data into grid data by the GIS software so as to form an evaluation factor diagram; d, carrying out spatial overlay analysis on the evaluation factor grid data by the GIS software, and converting the grid data into vectorized data so as to obtain the comprehensive score of ploughing function; e, dividing functional grades of the comprehensive score; and f, drawing a ploughing functional distribution chart according to the dividing result. The evaluation method confirms the distribution characteristic of the regional ploughing function by quantitatively analyzing the space-time evolution differential principle of the regional ploughing function, so that the comprehensive evaluation of the ploughing multi-function is realized, and an objective ploughing function evaluation result can be generated.

Description

A kind of cultivated land function evaluation method based on GIS
[technical field]
The present invention relates to land investigation and evaluation field, specifically refer to the method for utilizing GIS technology to carry out cultivated land function quantitative evaluation.
[background technology]
Land Use scientific domain has the description about land function very early, but lack always, soil is utilized to multi-functional synthetic study.Be worth for rebuilding cultivated land resource, in cultivated land protection utilization research in recent years, start cultivated land function to launch relevant research both at home and abroad.
From definition, cultivated land function refers to that Agricultural land system provides the ability that meets human survival and the required output of development, is the tie of contact Agricultural land system output and cultivated land utilization correlated activation.
Along with economic fast development, the functional trend in arable land is in diversification, but the base attribute of cultivated land resource is to have production function, function of society security and ecological functions.Wherein production function and function of society security are all take Agricultural Output as carrier, and production function refers to arable land output grain and meets population demand in region, feasible region grain security; Function of society security refers to agricultural population and obtains certain income by plant husbandry, meets living needs; Ecological functions are the intrinsic auxiliary functions of cultivated land resource.
The calculating of Ecosystem Services Value has obtained breakthrough from the later stage nineties 20th century.The paper of delivering on Nature with Costanza etc. is in the world the most noticeable, and to evaluation of ecosystem services, research has produced profound influence.The research of domestic evaluation of ecosystem services is carried out more late, but development in recent years is very fast, Ou Yangzhiyun, Chen Zhongxin, thanks to highland etc. and has done a large amount of research.Wherein thank to highland on the basis of the evaluation model of the propositions such as Costanza, to domestic 200 multidigits, ecological scholars have carried out survey, have proposed " Chinese different terrestrial ecosystems unit area Ecosystem Service Value tables ".
But, both at home and abroad about the computing method of cultivated land function are not yet unified.The people such as Huang Xianjin and Qu Futian is the income method of reducing that adopt " discounting " on accounting method more, from the Ecosystem Service of cultivated land resource and the impact fraction evaluation aspect of value, indivedual factors are carried out to weight adjustment, to calculate total value.The people such as Cai Yunlong are comprehensively to the economy of ploughing, ecology, and social function is worth and adjusts, but just carries out calculating after simple modifications the value of resource, does not propose the algorithm that concrete cultivated land resource Ecosystem Service Value and social function are worth.Liu Pei is analyzing on the basis of cultivated land function, take Shaodong County, Hunan Province as example, select ten to evaluate the factor, adopt analytical hierarchy process to determine the weighted value of evaluating the factor, use many index comprehensives score evaluation assessment, cultivated land function is carried out to individual event and comprehensive grading, but some function assessment index does not reflect the value of cultivated land function system, thereby cogency is not strong; Do not adopt GIS technology to carry out spatial analysis, evaluate the factor and evaluation result and do not realize geographical space and express, an evaluation of estimate is often only in the whole county, otherness that cannot viewing area.
In sum, cultivated land function research has had relevant development at home and abroad, and obtains certain achievement.Chinese scholar is progressively moved towards multifactor, multi-functional value accounting from single land output income retrieving algorithm at present for the exploration of cultivated land function value accounting.And in the domestic interactive relationship analysis and land use planning that also has the urbanization of being applied to and cultivated land utilization.Studies have shown that, in view of the complicacy of cultivated land utilization system, design proposal to cultivated land function classification is perfect not enough, need from now on systematically to set up a widely accepted cultivated land function taxonomic hierarchies of energy more comprehensively, adopt scientific and reasonable technical method, carry out cultivated land function quantitative evaluation research, reaction cultivated land function Spatio-temporal Evolution rule.But not yet have at present to this research carried out systematic generalization and formulated as a set of complete method system.
Along with urbanization and industrialized continuous aggravation; the continuous enhancing of people's environment and ecology protection consciousness; and improving constantly living environment quality requirement; strict construction occupies cultivated land; strengthening arable land multifunction protection becomes the vital task of current governments at all levels; impel cultivated land function to evaluate this recent studies on field and suddenly wait to enrich, enrich with perfect.Therefore, on the basis of forefathers research, adopt a kind of scientific comprehensive cultivated land function evaluation method of GIS technological development, and enable efficient, economical, convenient, be applicable to China's cultivated land utilization fast and manage, there is very important realistic meaning.
[summary of the invention]
The present invention is directed to the existing deficiency of method for quantitatively evaluating of existing cultivated land function, a kind of GIS of utilization technology is provided, can be according to the formation mechanism of cultivated land function, analyzed area cultivated land function Spatio-temporal Evolution differentiation rule, specify the distribution characteristics of specific region cultivated land function, realize the multi-functional comprehensive evaluation of ploughing.
To achieve these goals, the present invention adopts following technical scheme:
A cultivated land function evaluation method based on GIS, comprises the steps:
A. according to the comprehensive evaluation target of Cultivated land economic output function, ecological functions and social bearing function, calmodulin binding domain CaM nature, economy, social condition, determine evaluation unit, chooses the representative single-factor evaluation index of each cultivated land function;
B. utilize Excel single-factor evaluation index to be carried out to mean value calculation or the region mean value calculation of evaluation index per capita of region unit's cultivated area evaluation index, utilize GIS software to carry out vector quantization to calculating the data that obtain simultaneously;
C. the vector quantization data that step b calculated take to ask the method for median for dividing foundation in Excel, divide four grades (excellent, good, in, poor), give corresponding score value 4,3,2,1, utilize GIS software to convert each score value to raster data by vector data simultaneously, form and evaluate level of factor figure, that legend can be set to is excellent, good, in, poor level Four;
D. utilize GIS software that the evaluation factor raster data of step c is carried out to space superposition calculation, and convert the raster data of this result of calculation to vector data, obtain the comprehensive scores of survey region cultivated land function;
E. utilize GIS software that the comprehensive scores in steps d is carried out to partition functionality grade;
F. utilize GIS software to make cultivated land function distribution plan according to the result of the partition functionality grade in step e.
Further, while utilizing Excel to calculate the single-factor evaluation index value of averaging in described step b, be included in newly-built worksheet * .xls file in Excel, set up many-one relationship tables of data, wherein first classify evaluation unit title as, all the other respectively classify the calculated value of each single-factor evaluation index as, and * .dbf file will save File As.
Further, the process of utilizing GIS software to carry out vector quantization to data in described step b comprises: in GIS software, open ArcMAP module, click Add Data order Adding Area administrative map, click Open Attribute Table and open attribute list, according to the tables of data in * .dbf file, click newly-increased 6 fields of Add Field, title is identical with evaluation index, field type meets data type requirement, click Joins and Relates and be called the tables of data in public field link * .dbf file with administrative name, click Field Calculator calculates each evaluation index according to each field name and equals the numerical value in mapping table, complete the vector quantization of evaluation index.
Further, the process of utilizing GIS software to convert each score value to raster data by vector data in described step c comprises: in GIS software, click newly-increased 5 fields of Add Field, the score value of giving is added, in Spatial Analyst module, click Convert order, select Features to Raster to convert each new field vector data to raster data.
Further, the process of utilizing GIS software to carry out space superposition calculation in described steps d comprises: in Spatial Analyst module, click Raster Calculator order, adopt the computing method of direct iteration method or WSM, the evaluation factor raster data of step c is carried out to space superposition calculation; The process that in described steps d, raster data converts vector data to comprises: click Convert order, selection Raster to Features converts the raster data of this result of calculation to vector data.
Further, the process of utilizing GIS software to carry out partition functionality grade in described step e comprises: in Spatial Analyst module, click Reclassify order, the comprehensive scores in steps d is carried out to partition functionality grade, select Manual method to divide four ranks.
Further, the process of utilizing GIS software to make cultivated land function distribution plan in described step f comprises: click Insert order at Layout View window, select respectively to add title, north arrow, engineer's scale, legend, according to the result output cultivated land function distribution plan of the partition functionality grade in step e.
Further, in described step a, the representative single-factor evaluation index of Cultivated land economic output function is unit cultivated area total output of grain and Per Unit Area Grain Yield, and it is different that various places differ, no standard bound; The representative single-factor evaluation index of the ecological functions of ploughing in described step a is per capita cultivated land's Ecosystem Services Value, and it is different that various places differ, no standard bound; The representative single-factor evaluation index of social bearing function of ploughing in described step a is the unit cultivated area general production value of agriculture and per capita cultivated land's occupancy volume, and it is different that various places differ, no standard bound.
Further, the grade classification of described step c is according to the Normal Distribution Characteristics of each single-factor achievement data, the influence mode of simultaneously considering each factor pair cultivated land function with affect intensity as with reference to foundation.
Further, the Performance Level in described step e is divided into lower type, a high type, two high types and three high types, and poor according to comprehensive scores maximal value and minimum value divided equally the quartern, divides successively from low to high respective level.
Because the score value of the above-mentioned evaluation factor calculating is according to natural, the economy in concrete region, social condition, sort from high in the end according to all kinds of evaluation factors result of calculation in Excel, and seek the opinion of relevant expert suggestion determine, therefore can realize to region Agricultural land system carry out comprehensively, science, comprehensively evaluation.
Cultivated land function evaluation method of the present invention is according to the formation mechanism of cultivated land function, determine specific function type, select corresponding evaluation index, use GIS technology to set up comprehensive assessment indicator system, by the Spatio-temporal Evolution differentiation rule of analyzed area cultivated land function, specify the distribution characteristics of specific region cultivated land function, realize multi-functional to ploughing, to evaluate factor comprehensive evaluation more.
Evaluation method of the present invention can be widely used in the planning such as agricultural industry distribution adjustment, Landscape Ecological Design, Basic Farmland Conservation Zones delimitation, soil utilization, land control and bio-diversity conservation, have comprehensive, comprehensive, scientifical, applied widely, be applicable to the advantages such as any region cultivated land function evaluation.
[accompanying drawing explanation]
Fig. 1 is the process flow diagram of evaluation method of the present invention;
Fig. 2-a is the cultivated land function distribution plan of 1973;
Fig. 2-b is the cultivated land function distribution plan of 1988;
Fig. 2-c is the cultivated land function distribution plan of 1998;
Fig. 2-d is the cultivated land function distribution plan of 2008.
[embodiment]
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail to explanation.
Embodiment 1
Shown in Fig. 1,
A kind of cultivated land function evaluation method based on GIS of the present invention, comprises the steps:
A. in " cultivated land function identification " step, according to cultivated land function evaluation objective, determine the multi-functional evaluation of ploughing, carry out comprehensive evaluation from production, social security and ecological three aspects: complete function, be identification of function.Also can select arbitrarily single functional evaluation or two aspects wherein to carry out multi-functional evaluation according to the difference of evaluation objective.Production function, function of society security and the ecological functions that the present invention is defined as being ploughed in XiangZhou, Zhuhai City district, Doumen District, the Jinwan District multifunctional quantitatively evaluation of ploughing.
B. in " evaluation index selection " step, for above-mentioned three cultivated land function types, choose respectively representative single-factor evaluation index, wherein:
Arable land production function has been chosen " unit cultivated area total output of grain " and " Per Unit Area Grain Yield " as its single-factor evaluation index; Arable land function of society security has been chosen " the unit cultivated area general production value of agriculture " and " per capita cultivated land's occupancy volume " as its single-factor evaluation index; Arable land ecological functions are chosen " per capita cultivated land's Ecosystem Services Value " as its single-factor evaluation index.
C. in the step of " assessment indicator system ", the three aspects: single-factor evaluation index of assessment indicator system is carried out the mean value of unit cultivated area evaluation index or the calculating of the mean value of evaluation index per capita by Excel, obtains the 1973-2008 Zhuhai City cultivated land function index of table 1.
Wherein, " Ecosystem Services Value " is the 6114.3 yuan/hm of value of ecosystem service unit price that quotes the farmland in " the Chinese different terrestrial ecosystems unit area Ecosystem Service Value tables " of thanking to highland proposition in background technology 2as evaluating.
D. in the step of " classification standard division ", the functional parameter of above-mentioned three class single-factor evaluation indexes is divided respectively to four grades successively according to order from high to low, give corresponding score value 4,3,2,1, the different cultivated land function index score values that obtain table 2 are divided, GIS software converts the polar plot in step c to grid map, obtains evaluating factor rating figure.
Wherein, grade classification according to being Normal Distribution Characteristics according to each achievement data, the influence mode that simultaneously will consider each factor pair cultivated land function with affect intensity.The higher grade of division score value represents that production function, function of society security and the Ecosystem Service resultant effect of cultivated land utilization performance is more powerful.
E. in the step of " the evaluation factor map overlay based on GIS calculates ", according to the weighted of each single-factor evaluation index, carry out the calculating of figure layer, stack at GIS platform, the evaluation factor grid map of above-mentioned three major types single-factor evaluation number is carried out to space stack by the computing method of direct iteration method or WSM, then convert grid map to polar plot, obtain the comprehensive scores of the cultivated land function index in XiangZhou, Zhuhai City, sluice gate, Jin Wansange district, i.e. the different times cultivated land function index score value of table 3.
Wherein, two indexs of " production function " and " function of society security " adopt and respectively get 50% WSM calculating comprehensive scores its single-factor index; " ecological functions " only select an index, employing direct iteration method calculating comprehensive scores.
F. above-mentioned comprehensive scores is divided into lower type, a high type, two high types and four Performance Levels of three high types, obtains the different brackets cultivated land function index comprehensive score value of table 4.
G. " " in step, GIS platform is made the cultivated land function distribution plan of Fig. 2 a-d to cultivated land function grade figure according to above-mentioned comprehensive scores division result.
Table 1 is 1973-2008 Zhuhai City's cultivated land function indexs:
Figure BDA0000473251620000071
Table 3 is different times cultivated land function index comprehensive score value:
Figure BDA0000473251620000072
Table 4 is different brackets cultivated land function index comprehensive score value:
Figure BDA0000473251620000081
Associative list 3,4 and Fig. 2 a-d analyze, and can find:
Each district of 1973-2008 Zhuhai City cultivated land function presents different Changing Pattern.Wherein Doumen District cultivated land function presents the changes of function feature that the high type of high type-mono-of high type-tri-of two high type-two is fallen after rising, Jinwan District cultivated land function presents the changes of function feature that high type-mono-of three high type-two high type-lower type obviously declines, and Xiangzhou District cultivated land function keeps the development trend of lower type always.This shows, Zhuhai City's cultivated land function is accompanied by the environmental change of socio-economic development, cultivated land occupancy constantly aggravates, production function, function of society security and Ecosystem Service Ge district that arable land is risen all present downtrending, Jinwan District decline rate is the fastest, next is Doumen District, and Xiangzhou District is along with the minimizing of cultivated area, and cultivated land function faces the situation disappearing.
The announcement of book and instruction according to the above description, those skilled in the art in the invention can also change and revise above-mentioned embodiment, therefore do not limit protection scope of the present invention with this embodiment.

Claims (10)

1. the cultivated land function evaluation method based on GIS, is characterized in that:
Comprise the steps:
A. according to the comprehensive evaluation target of Cultivated land economic output function, ecological functions and social bearing function, calmodulin binding domain CaM nature, economy, social condition, determine evaluation unit, chooses the representative single-factor evaluation index of each cultivated land function;
B. utilize Excel single-factor evaluation index to be carried out to mean value calculation or the region mean value calculation of evaluation index per capita of region unit's cultivated area evaluation index, utilize GIS software to carry out vector quantization to calculating the data that obtain simultaneously;
C. the vector quantization data that step b calculated take to ask the method for median for dividing foundation in Excel, divide four grades (excellent, good, in, poor), give corresponding score value 4,3,2,1, utilize GIS software to convert each score value to raster data by vector data simultaneously, form and evaluate level of factor figure, that legend can be set to is excellent, good, in, poor level Four;
D. utilize GIS software that the evaluation factor raster data of step c is carried out to space superposition calculation, and convert the raster data of this result of calculation to vector data, obtain the comprehensive scores of survey region cultivated land function;
E. utilize GIS software that the comprehensive scores in steps d is carried out to partition functionality grade;
F. utilize GIS software to make cultivated land function distribution plan according to the result of the partition functionality grade in step e.
2. a kind of cultivated land function evaluation method based on GIS according to claim 1, it is characterized in that: while utilizing Excel to calculate the single-factor evaluation index value of averaging in described step b, be included in newly-built worksheet * .xls file in Excel, set up many-one relationship tables of data, wherein first classify evaluation unit title as, all the other respectively classify the calculated value of each single-factor evaluation index as, and * .dbf file will save File As.
3. a kind of cultivated land function evaluation method based on GIS according to claim 2, it is characterized in that, the process of utilizing GIS software to carry out vector quantization to data in described step b comprises: in GIS software, open ArcMAP module, click Add Data order Adding Area administrative map, click Open Attribute Table and open attribute list, according to the tables of data in * .dbf file, click newly-increased 6 fields of Add Field, title is identical with evaluation index, field type meets data type requirement, click Joins and Relates and be called the tables of data in public field link * .dbf file with administrative name, click Field Calculator calculates each evaluation index according to each field name and equals the numerical value in mapping table, complete the vector quantization of evaluation index.
4. a kind of cultivated land function evaluation method based on GIS according to claim 3, it is characterized in that, the process of utilizing GIS software to convert each score value to raster data by vector data in described step c comprises: in GIS software, click newly-increased 5 fields of Add Field, the score value of giving is added, in Spatial Analyst module, click Convert order, select Features to Raster to convert each new field vector data to raster data.
5. a kind of cultivated land function evaluation method based on GIS according to claim 4, it is characterized in that, the process of utilizing GIS software to carry out space superposition calculation in described steps d comprises: in Spatial Analyst module, click Raster Calculator order, adopt the computing method of direct iteration method or WSM, the evaluation factor raster data of step c is carried out to space superposition calculation; The process that in described steps d, raster data converts vector data to comprises: click Convert order, selection Raster to Features converts the raster data of this result of calculation to vector data.
6. a kind of cultivated land function evaluation method based on GIS according to claim 5, it is characterized in that, the process of utilizing GIS software to carry out partition functionality grade in described step e comprises: in Spatial Analyst module, click Reclassify order, comprehensive scores in steps d is carried out to partition functionality grade, select Manual method to divide four ranks.
7. a kind of cultivated land function evaluation method based on GIS according to claim 6, it is characterized in that, the process of utilizing GIS software to make cultivated land function distribution plan in described step f comprises: click Insert order at Layout View window, select respectively to add title, north arrow, engineer's scale, legend, according to the result output cultivated land function distribution plan of the partition functionality grade in step e.
8. according to a kind of cultivated land function evaluation method based on GIS described in claim 1 or 2 or 3 or 4 or 5 or 6 or 7, it is characterized in that: in described step a, the representative single-factor evaluation index of Cultivated land economic output function is unit cultivated area total output of grain and Per Unit Area Grain Yield, it is different that various places differ, no standard bound; The representative single-factor evaluation index of the ecological functions of ploughing in described step a is per capita cultivated land's Ecosystem Services Value, and it is different that various places differ, no standard bound; The representative single-factor evaluation index of social bearing function of ploughing in described step a is the unit cultivated area general production value of agriculture and per capita cultivated land's occupancy volume, and it is different that various places differ, no standard bound.
9. according to a kind of cultivated land function evaluation method based on GIS described in claim 1 or 2 or 3 or 4 or 5 or 6 or 7, it is characterized in that: the grade classification of described step c is according to the Normal Distribution Characteristics of each single-factor achievement data, the influence mode of simultaneously considering each factor pair cultivated land function with affect intensity as with reference to foundation.
10. according to a kind of cultivated land function evaluation method based on GIS described in claim 1 or 2 or 3 or 4 or 5 or 6 or 7, it is characterized in that: the Performance Level in described step e is divided into lower type, a high type, two high types and three high types, poor according to comprehensive scores maximal value and minimum value, divide equally the quartern, divide successively from low to high respective level.
CN201410079691.9A 2014-03-05 2014-03-05 Ploughing function evaluating method based on GIS (geographic information system) Pending CN103824226A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410079691.9A CN103824226A (en) 2014-03-05 2014-03-05 Ploughing function evaluating method based on GIS (geographic information system)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410079691.9A CN103824226A (en) 2014-03-05 2014-03-05 Ploughing function evaluating method based on GIS (geographic information system)

Publications (1)

Publication Number Publication Date
CN103824226A true CN103824226A (en) 2014-05-28

Family

ID=50759274

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410079691.9A Pending CN103824226A (en) 2014-03-05 2014-03-05 Ploughing function evaluating method based on GIS (geographic information system)

Country Status (1)

Country Link
CN (1) CN103824226A (en)

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106251020A (en) * 2016-08-05 2016-12-21 辜寄蓉 Land_use change layout method for optimizing based on resosurces environment loading capacity
CN106324225A (en) * 2016-10-27 2017-01-11 上海理工大学 Method for correcting land area
CN106503178A (en) * 2016-10-25 2017-03-15 河南理工大学 A kind of automatic mode of land ecology quality evaluation and device
CN106530170A (en) * 2016-09-21 2017-03-22 环境保护部南京环境科学研究所 Method for boundary optimization of regional ecological protection red line
CN106952170A (en) * 2017-02-20 2017-07-14 中国农业大学 A kind of county domain Natural quality of cultivated land evaluation method based on random forest
CN107909306A (en) * 2017-12-23 2018-04-13 广州市城市规划勘测设计研究院 A kind of urban landscape style and features evaluation method
CN109872062A (en) * 2019-02-02 2019-06-11 湖南大学 County Scale water and soil conservation prevention and control zoning methods and system based on three-dimensional index system
CN110084515A (en) * 2019-04-28 2019-08-02 成都市建筑设计研究院 A kind of river XiLin disk evaluation model construction method based on ArcGIS platform
CN110298553A (en) * 2019-06-04 2019-10-01 广州市城市规划勘测设计研究院 A kind of National land space planing method, system and equipment based on GIS
CN111612869A (en) * 2019-02-22 2020-09-01 中国石油化工股份有限公司 Method for analyzing geological mapping based on grid data
CN113112159A (en) * 2021-04-16 2021-07-13 河海大学 NPP-based identification method for comprehensive influence on arable land capacity of large-scale area
CN113269369A (en) * 2021-06-10 2021-08-17 中国科学院地理科学与资源研究所 Wheat production layout method and system based on grain demand
CN113988688A (en) * 2021-11-08 2022-01-28 中国科学院地理科学与资源研究所 Method and system for evaluating ecological sustainability of cultivated land
CN117474377A (en) * 2023-09-28 2024-01-30 广东省城乡规划设计研究院有限责任公司 Method for evaluating and guiding site selection of putting land

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106251020A (en) * 2016-08-05 2016-12-21 辜寄蓉 Land_use change layout method for optimizing based on resosurces environment loading capacity
CN106530170A (en) * 2016-09-21 2017-03-22 环境保护部南京环境科学研究所 Method for boundary optimization of regional ecological protection red line
CN106503178A (en) * 2016-10-25 2017-03-15 河南理工大学 A kind of automatic mode of land ecology quality evaluation and device
CN106324225A (en) * 2016-10-27 2017-01-11 上海理工大学 Method for correcting land area
CN106952170A (en) * 2017-02-20 2017-07-14 中国农业大学 A kind of county domain Natural quality of cultivated land evaluation method based on random forest
CN107909306A (en) * 2017-12-23 2018-04-13 广州市城市规划勘测设计研究院 A kind of urban landscape style and features evaluation method
CN109872062A (en) * 2019-02-02 2019-06-11 湖南大学 County Scale water and soil conservation prevention and control zoning methods and system based on three-dimensional index system
CN111612869B (en) * 2019-02-22 2023-07-11 中国石油化工股份有限公司 Analysis method for geological mapping based on raster data
CN111612869A (en) * 2019-02-22 2020-09-01 中国石油化工股份有限公司 Method for analyzing geological mapping based on grid data
CN110084515A (en) * 2019-04-28 2019-08-02 成都市建筑设计研究院 A kind of river XiLin disk evaluation model construction method based on ArcGIS platform
CN110298553A (en) * 2019-06-04 2019-10-01 广州市城市规划勘测设计研究院 A kind of National land space planing method, system and equipment based on GIS
CN113112159B (en) * 2021-04-16 2022-08-16 河海大学 NPP-based identification method for comprehensive influence on arable land capacity of large-scale area
CN113112159A (en) * 2021-04-16 2021-07-13 河海大学 NPP-based identification method for comprehensive influence on arable land capacity of large-scale area
CN113269369A (en) * 2021-06-10 2021-08-17 中国科学院地理科学与资源研究所 Wheat production layout method and system based on grain demand
CN113988688A (en) * 2021-11-08 2022-01-28 中国科学院地理科学与资源研究所 Method and system for evaluating ecological sustainability of cultivated land
CN117474377A (en) * 2023-09-28 2024-01-30 广东省城乡规划设计研究院有限责任公司 Method for evaluating and guiding site selection of putting land

Similar Documents

Publication Publication Date Title
CN103824226A (en) Ploughing function evaluating method based on GIS (geographic information system)
Zhai et al. Did improvements of ecosystem services supply-demand imbalance change environmental spatial injustices?
Lin et al. Impact of China's new-type urbanization on energy intensity: A city-level analysis
Song et al. Investigation of a “coupling model” of coordination between low-carbon development and urbanization in China
Dong et al. Land use projections in China under global socioeconomic and emission scenarios: Utilizing a scenario-based land-use change assessment framework
Li et al. Spatio-temporal pattern of China's rural development: A rurality index perspective
Qu et al. Geographic identification, spatial differentiation, and formation mechanism of multifunction of rural settlements: A case study of 804 typical villages in Shandong Province, China
Peng et al. Urban economic structure, technological externalities, and intensive land use in China
Liu et al. Spatial and temporal change in urban-rural land use transformation at village scale—A case study of Xuanhua district, North China
Guan et al. Mismatch distribution of population and industry in China: pattern, problems and driving factors
Zheng et al. The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method
Yanbo et al. Territorial spatial planning for regional high-quality development–An analytical framework for the identification, mediation and transmission of potential land utilization conflicts in the Yellow River Delta
Li et al. Evolution of rural settlements in the Tongzhou District of Beijing under the new-type urbanization policies
Hou et al. Coordinated relationship between urbanization and grain production in China: Degree measurement, spatial differentiation and its factors detection
Qi et al. Rural attraction: The spatial pattern and driving factors of China's rural in-migration
Yuan et al. Regional land-use allocation using a coupled MAS and GA model: From local simulation to global optimization, a case study in Caidian District, Wuhan, China
Gao et al. Clustering urban multifunctional landscapes using the self-organizing feature map neural network model
Tian et al. Suburban identification based on multi-source data and landscape analysis of its construction land: A case study of Jiangsu Province, China
Paolotti et al. Territorial sustainability evaluation for policy management: The case study of Italy and Spain
Senetra et al. The implementation of the Wroclaw taxonomic method for the identification and evaluation of problem areas in the Warmia and Mazury Region in Poland–A case study
Poggi et al. Shaping energy transition at municipal scale: A net-zero energy scenario-based approach
Ni et al. Spatiotemporal changes in sustainable development and its driving force in the Yangtze River Delta region, China
Wang et al. The category identification and transformation mechanism of rural regional function based on SOFM model: A case study of Central Plains Urban Agglomeration, China
Tao et al. Resilience or efficiency? Strategic options for sustainable development of agricultural systems in ecologically fragile areas of China
Qu et al. Exploring the spatiotemporal variation characteristics and influencing factors of gully agricultural production transformation in the Chinese Loess Plateau: A case study of loess hilly and gully region in Yan'an City

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20140528

RJ01 Rejection of invention patent application after publication