CN108681798B - GIS-based regional agriculture planning auxiliary decision system and planning method - Google Patents
GIS-based regional agriculture planning auxiliary decision system and planning method Download PDFInfo
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Abstract
The invention relates to a GIS-based regional agriculture planning aid decision system, which comprises: the data management module is used for managing the input data; and the area planning module is used for analyzing the data of different areas and making planning decisions in an auxiliary manner. Aiming at the problems of scattered and disordered data, less space quantitative analysis, difficult accurate landing, insufficient dynamic analysis and the like in regional agricultural planning, the invention introduces the strong data management and space analysis functions of the GIS, develops a regional agricultural planning auxiliary decision-making system integrating data management, current analysis, planning positioning, function partitioning, industrial planning, key projects, investment estimation and the like by taking the compilation content of the regional agricultural planning as a requirement, realizes data standardized storage, space data quantitative analysis and planning auxiliary mapping of the agricultural planning, and can effectively improve the planning normative, scientific and accurate.
Description
Technical Field
The invention belongs to a computing system for regional planning, and particularly relates to a GIS-based regional agricultural planning auxiliary decision system and a planning method.
Background
Regional agricultural planning is a systematic project for target and constraint, organization and implementation, which is a general deployment of agricultural strategic development, efficient resource utilization and reasonable spatial layout in a certain period in the future in a regional scope on the basis of fully considering the existing agricultural development conditions, natural resources, social and economic conditions, ecological environment and the like according to the national economic development needs in a certain period in a certain region. Scientific and reasonable agricultural planning plays an important strategic guidance role in the development of regional modern agriculture.
As an important means for regulating and controlling the market by governments, regional agricultural planning is increasingly paid more attention by government departments at all levels. Agricultural planning work is carried out in 3000 different regions of cities and counties all over the country. Because regional agricultural planning is a complex system engineering, the regional agricultural planning has the characteristics of large data volume, multiple uncertain factors, wide related fields, quick change of current situation and the like, and the professional limitation and the technical method of a planning worker are lagged behind, the problems of data dispersion and disorder, repeated statistics of data, less space quantitative analysis, difficult accurate landing, insufficient dynamic analysis and the like exist in the current agricultural planning for a long time.
A good regional agricultural planning not only needs to carry out scientific mathematical statistics and analysis on local social economic conditions, industrial foundations and the like, but also needs to carry out detailed spatial statistics and analysis on geographic locations, resource endowments and the like, and not only needs to use more economic metering models and spatial metering models, but also needs to be supported by massive multi-source databases, including basic databases such as the year of statistics and the like, spatial databases such as surveying and mapping, remote sensing and the like. These requirements present a great challenge to agricultural planning personnel with rich agricultural knowledge and poor space planning capability, and a standard planning aid decision system needs to be established urgently to improve the scientificity and space accuracy of planning.
The Geographic Information System (GIS) can accurately generate various thematic maps required by planning, not only can improve the visualization degree of the planning, but also can provide powerful technical support for scientific decision of regional agricultural planning. The decision-making assisting system (DSS) has a data processing function and a numerical calculation analysis function, and achieves a higher-level decision-making assisting capability.
On the basis of more than ten years of planning research and practice, aiming at the problems existing in industry development, a GIS (geographic information System) auxiliary decision making technology is introduced, regional agricultural planning and making processes are standardized, a GIS application range is determined, various metering models and space analysis models are integrated, a unified and ordered multisource agricultural database is constructed, a regional agricultural planning auxiliary decision making system is developed, metering analysis support and space decision making support are provided for planning and making, and planning efficiency, normalization, scientificity and accuracy are improved.
Disclosure of Invention
In view of urgent needs of the prior art, the present invention aims to provide a GIS-based regional agricultural planning aid decision-making system and planning method, and further, to research agricultural development trend, location, land resources, industrial development influence factors, etc. by using economic metering methods such as location quotient, etc. and spatial analysis theories such as spatial superposition, grid analysis, etc. Solving the geospatial problem involved in regional agricultural planning through a spatial quantitative analysis model; the regional development analysis model is used for agricultural industry selection, regional development direction, development key factor analysis and the like, so that the spatial position, the scale size, the industrial development trend, the regional competitiveness level and the like of regional agricultural resources can be accurately known, and accurate spatial information and technical support are provided for planning and compiling.
Furthermore, the regional agricultural planning map can intuitively express the current situation and the planning design of the project area, and an irregular manufacturing mode not only influences the expression of effective information in the map, but also influences the overall effect of the map making, and cannot exert the special function of information transmission. The method has the advantages that the format, the characters, the images and the figures related to the drawing are simplified, the relevance of the symbols and the meanings is researched, the unification of drawing standards is facilitated, and the information bearing and the expression are accurately carried out.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
GIS-based regional agricultural planning aid decision system, characterized in that the system comprises:
the data management module is used for managing the input data;
and the area planning module is used for analyzing the data of different areas and making planning auxiliary decisions.
It should be noted that the data management module includes statistical yearbook data, spatial data management and a planning symbol library; the statistical yearbook data is data which takes a town as a unit, establishes economy, industry and the like of the past year, and can be used for performing administrative division visualization by taking the town as a unit; the spatial data management comprises the steps of registering, plotting spatial elements and inputting attribute data for a scanning picture or a raster image; the planning symbol library is a set of standard agricultural planning symbol library and comprises different expression forms of point-shaped, linear and planar elements in different purposes.
It should be noted that the area planning module includes status analysis, planning target, planning location, functional partition, industry planning, key project, project layout, and investment estimation.
A GIS-based regional agriculture planning aided decision-making system planning method comprises the following steps:
s1 importing data through the data management module;
s2 providing visual analysis data and status analysis of the grade thematic map based on the space data, thematic planning data and the statistical yearbook data;
s3, on the basis of the current analysis, according to the index requirements in the planning period, carrying out target setting and analysis management on the planning period, the planning target and the planning measures;
s4 develops from 3 positioning areas of macro, meso and micro levels;
s5, taking the current land utilization situation or the planning map as a base, superposing the upper planning and other related plans, dividing the area into a plurality of functional areas, drawing the functional areas in a man-machine interaction mode through a mouse, and inputting attributes and classifying and displaying key attributes;
s6, inputting the measurement model condition dialog boxes such as the industry region suppliers into the industry, year and project superior regions, and automatically calculating the same-level or superior agricultural industry region suppliers in different regions for industry selection;
s7, selecting an industrial index based on the current situation analysis by taking a planning target as a guide, setting an increase and decrease target to obtain a final result, and displaying the final result by a two-dimensional table and a chart;
s8, based on the result of the functional partition and the industry selection analysis, superposing the land utilization plan and other related planning data, plotting the pattern spots in a man-machine interaction mode by planners, inputting the category of the industry, and landing the industry;
s9, analyzing the planning measures according to the industry target, the industry current situation and the planning measures, and selecting and modifying the planning measures by the planning staff; meanwhile, according to the key link analysis and the base main body distribution diagram of the industrial chain, the planning personnel is assisted to determine key projects, and a proper base main body is selected to bear the key projects.
It should be noted that S10 is also included, and industrial layout rules are set, the main factors include scale, traffic, water source, environment, residential points, and population; secondly, automatically screening out land type map spots which meet the conditions in the land use planning map according to set rules, highlighting, extracting key item map layers, drawing item areas in a man-machine interaction mode, and inputting item attributes; and finally, the project area is superposed with a land utilization planning map and a heaven and earth map to carry out project layout visual display, and spatial scaling, query and drawing output are realized.
It should be noted that, S11 is also included, the investment estimation table is designed, the index, scale and unit price are customized, the project scope is screened, the project area can be automatically obtained, the land code, the land name and the unit price are entered, the investment estimation table is automatically calculated, and the output form is supported.
The invention has the advantages that:
aiming at various problems of complex data collection, difficult spatial analysis, low planning efficiency and the like in the field of regional agricultural planning, the spatial analysis and metering model is gathered and applied in a system integration mode, and the regional agricultural planning aid decision is realized.
According to regional agricultural planning compiling requirements and key points, a GIS space analysis model and a metering model are integrated in a systematic mode through a WebGIS, relevant data are obtained intelligently, and space-assisted decision-making application research is conducted on aspects of agricultural industry structure adjustment, efficient resource utilization, accurate project landing, suitability for industry selection and the like.
Through the integration of an auxiliary decision-making model, the system application, the diversified expression and the like of regional agricultural planning, the traditional manual planning mode is replaced, the physical power of a planner is liberated, the brain of the planner is released, the problem of 'planning science and accurate landing' is preliminarily solved, the method and means of the regional agricultural planning and managing process are enriched, the scientificity and the intellectualization of regional agricultural planning and managing are integrally improved, and the method has wide practicability and popularization.
Drawings
FIG. 1 is a schematic diagram of the association of various modules of the present invention;
FIG. 2 is a schematic view of an interface according to the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings, and it should be noted that the present embodiment is based on the technical solution, and the detailed implementation and the specific operation process are provided, but the protection scope of the present invention is not limited to the present embodiment.
As shown in fig. 1, the present invention is a GIS-based regional agricultural planning aid decision-making system, which is characterized in that the system comprises:
the data management module is used for managing input data, including database construction and planning comprehensive data management;
and the area planning module is used for analyzing and making an auxiliary decision on the data of different areas, and comprises planning method model integration and area planning auxiliary decision analysis.
It should be noted that the data management module includes statistical yearbook data, spatial data management and a planning symbol library; the statistical yearbook data is data which takes a town as a unit, establishes economy, industry and the like of the past year, and can be used for performing administrative division visualization by taking the town as a unit; the spatial data management comprises the steps of registering, plotting spatial elements and inputting attribute data for scanning a scanning picture or a raster image; the planning symbol library is a set of standard agricultural planning symbol library and comprises different expression forms of point-shaped, linear and planar elements in different purposes.
It should be noted that the area planning module includes status analysis, planning target, planning location, functional partition, industry planning, key project, project layout, and investment estimation.
A GIS-based regional agriculture planning aid decision-making system and a planning method comprise the following steps:
s1 importing data through the data management module;
s2 providing visual analysis data and status analysis of the grade thematic map based on the space data, thematic planning data and the statistical yearbook data;
s3, on the basis of the current analysis, according to the index requirements in the planning period, carrying out target setting and analysis management on the planning period, the planning target and the planning measures;
s4 develops from 3 positioning areas of macro, meso and micro levels;
s5, taking the current land utilization situation or the planning map as a base, superposing the upper planning and other related plans, dividing the area into a plurality of functional areas, drawing the functional areas in a man-machine interaction mode through a mouse, and inputting attributes and classifying and displaying key attributes;
s6 day map is a base map, and after inputting industry, year and project superior areas in a metering model condition dialog box such as an industry locater and the like, the same-level or superior agricultural industry locater in different areas is automatically calculated for industry selection;
s7, selecting an industrial index based on the current situation analysis by taking a planning target as a guide, setting an increase and decrease target to obtain a final result, and displaying the final result by a two-dimensional table and a chart;
s8, based on the result of the functional partition and the industry selection analysis, superposing the land utilization plan and other related planning data, plotting the pattern spots in a man-machine interaction mode by planners, inputting the category of the industry, and landing the industry;
s9, analyzing to obtain planning quantitative measures for planning personnel to select and modify according to the industrial target, the industrial current situation and the planning measures; meanwhile, according to the key link analysis and the base main body distribution diagram of the industrial chain, the planning personnel is assisted to determine key projects, and a proper base main body is selected to bear the key projects.
It should be noted that S10 is also included, and industrial layout rules are set, the main factors include scale, traffic, water source, environment, residential points, population and origin; secondly, automatically screening out land type map spots which meet the conditions in the land use planning map according to set rules, highlighting, extracting key item map layers, drawing item areas in a man-machine interaction mode, and inputting item attributes; and finally, the project area is superposed with a land utilization planning map and a heaven and earth map to carry out project layout visual display, and spatial scaling, query and drawing output are realized.
It should be noted that, S11 is also included, the investment estimation table is designed, the index, scale and unit price are customized, the project scope is screened, the project area can be automatically obtained, the land code, the land name and the unit price are entered, the investment estimation table is automatically calculated, and the output form is supported.
Examples
Data management
(1) And (5) counting the yearbook data. And the import and the check of the statistical yearbook data are realized. The data of economy, industry and the like over the years are established by taking the town as a unit, and the administrative division visualization can be carried out by taking the town as a unit. The yearbook data is maintained and managed by another database and is acquired through an interface. WPS template data import is supported. The imported statistical yearbook data is displayed in a summary mode according to categories, and forms and column diagram viewing are supported.
(2) And managing spatial data. And for the scanning picture or the raster image, registration, spatial element plotting and attribute data entry are carried out. And for raster data such as remote sensing images, registering by contrasting coordinates through a sky map, and then, using human-computer interaction to plot point, line and surface elements to input attribute data of the elements. Vector data, such as CAD files, can be imported without layering and used as base drawings, and can be checked in layer control after the import is successful; and if the Shape file is used, hierarchical import is carried out, element attribute data are extracted, and the element attribute data can be checked in layer management after the import is successful.
(3) And planning a symbol library. Establishing a space element expression standard which accords with agricultural characteristics, and designing and researching a set of standard agricultural planning symbol library, wherein the standard agricultural planning symbol library comprises different expression forms of point-shaped, linear and planar elements in different purposes. And symbolization and visual expression of the planning elements and the current situation elements are realized through a drawing mode.
Area planning
(1) Presence analysis
Based on spatial data, thematic planning data, statistical yearbook data and the like, visual analysis data, a level thematic map and the like are provided.
Analyzing the current land utilization situation. And (3) taking the regional land utilization status map spots as a data source, analyzing a unique value thematic map according to different land types, rendering and displaying the map by corresponding different colors to the different land types, and outputting a land statistical table and a chart display (a histogram and a pie chart).
② the current situation of other natural resources. Mainly analyzes the data of water area, hydrology, meteorology and the like in the project range, and outputs an analysis chart, such as a temperature change bar chart or a line chart for 10 continuous years.
And thirdly, analyzing the zone bit. One is geographical location analysis. The position of the project is selected, and the distance between the project and each level of government, traffic hub, water source, residential points and the like is plotted through the basic GIS function. Second, economic zone analysis. And outputting a grade thematic map according to the indexes in a preset grade range according to administrative divisions, and displaying the economic levels of the project areas in administrative areas of different grades.
And fourthly, traffic analysis. And (4) calculating the traffic categories and distances between the project and governments, traffic hubs, water sources, residents, key facilities and the like at all levels through basic GIS function plotting and quantity, wherein the traffic categories and distances comprise internal traffic analysis and external traffic analysis.
And fifthly, carrying out social and economic analysis. Acquiring relevant data in a statistical yearbook database and a research database, and outputting a relevant index analysis chart, wherein the relevant data comprises the following steps: GDP, tertiary industrial output value, agricultural output value, farmer income and the like, such as a continuous 10-year change line graph of the agricultural, forest, pasture and fish output value and the like.
Analysis of agricultural industry. Acquiring relevant data in a statistical yearbook database and a research database, and outputting a relevant index analysis chart, wherein the relevant data comprises the following steps: industrial area, yield, total yield, price, etc., such as area of rice for 10 years, yield change bar graph, line graph, etc.
Seventhly, analyzing the base main body. And outputting an agricultural industrialization status map in the project area by investigating and acquiring coordinates or directly plotting names, positions and other information of processing bases, logistics bases, scientific research institutions, gardens, enterprises and the like in the area on the map.
And eighthly, relevant planning and analyzing. And (3) superposing the upper planning and other planning graphs of the same level, analyzing the development positioning, the industrial layout and the like of the plans on the project area, making connection with the related planning and plotting the buffer area, such as drawing the forbidden region in 500m along the river and the like.
Ninthly, SWOT analysis. Based on the survey analysis of the planners on the advantages (Strengths), disadvantages (Weaknesses), Opportunities (Opportunities) and Threats (threads), the system is arranged according to a matrix form, various factors are matched with one another and analyzed, a conclusion with certain decision is obtained, and various matching conclusions and matrix diagrams can be automatically output.
(2) And planning the target. On the basis of the current situation analysis, target setting and analysis management are carried out on a planning period, a planning target, planning measures and the like according to various index requirements in the planning period, wherein the target setting and analysis management comprises benefit targets, industry growth targets, farming, pasturing and fishing proportions, farmer income, ecological environment protection targets such as forest coverage rate, pesticide and fertilizer utilization rate and the like. And automatically outputting a planning target chart by setting the target value.
(3) And planning and positioning. The method is developed from 3 levels of macroscopic, mesoscopic and microscopic positioning areas, the positions of project areas on the administrative area map are displayed in an overlapping mode with the administrative area map, when the project areas are overlapped with the administrative area, the levels of the administrative area can be selected through human-computer interaction, relevant analysis is input in texts from the macroscopic, mesoscopic and microscopic levels, and a planning positioning chart is output.
(4) And (4) function partitioning. The land utilization status quo or the planning map is used as a base, the upper planning and other related planning are superposed, the area is divided into a plurality of functional areas, the drawing of the functional areas is carried out in a man-machine interaction mode through a mouse, and the input attributes and the key attributes are displayed in a classified mode.
(5) Industry planning
Industrial selection. After inputting the industry, year and project superior areas in a metering model condition dialog box such as an industry locational quotient, the agricultural industry locational quotient of the same level or superior level in different areas is automatically calculated for industry selection.
② industrial objects. The planning target is taken as a guide, on the basis of the current situation analysis, industrial indexes (such as rice, vegetables and pigs) are selected, increase and decrease targets are set, the final result is automatically calculated and displayed by a two-dimensional table and a chart (a pie chart and a bar chart) for reference of a planner.
And thirdly, industrial layout. And (3) superposing the land utilization plan and other related planning data according to the function partition and the industry selection analysis result, plotting a pattern spot in a man-machine interaction mode by a planner, inputting the industry category, and landing the industry. The land utilization planning land types are gathered by taking administrative regions (land levels or district and county levels) as units, and the corresponding table of the industry and the planning land types (such as dry land and irrigated land corresponding to vegetables) is established.
(6) Key items
Selecting items. According to industrial targets (such as 10% of vegetable growth and 20% of rice growth), current industrial situations (statistical yearbook and research data) and planning measures (area increase, yield increase and the like), automatically analyzing to obtain planning quantitative measures for planning personnel to select and modify; meanwhile, according to the key link analysis and the base main body distribution diagram of the industrial chain, the planning personnel is assisted to determine key projects, and a proper base main body is selected to bear the key projects.
And (9) layout of items. First, industrial layout rules are set, the main factors including scale, traffic, water source, environment, residential site, population, etc. Factors to be considered for laying out a vegetable planting base are as follows: the land area is more than 500 mu, the water source is sufficient, and the land area is close to the main road. Secondly, according to set rules, automatically screening out land type map spots which meet conditions in the land use planning map, highlighting, extracting key item map layers, drawing item areas in a man-machine interaction mode, and recording item attributes. And finally, the project area is superposed with a land utilization planning map, a daily map and the like to carry out visual display of project layout, and spatial zooming, query and drawing output are realized.
(7) And (5) investment estimation. Designing an investment estimation table, customizing indexes, scale, unit price and the like, screening a project range, automatically obtaining the area of a project area, inputting a land code, a land name, the unit price and the like, automatically calculating the investment estimation table, and supporting the output of a WPS table.
System implementation
As shown in fig. 2. And developing data management modules such as data import and edition and agricultural planning modules such as current situation analysis, industrial planning and layout by utilizing ArcGIS, Oracle, J2EE and the like to realize an auxiliary decision-making system for regional agricultural planning.
The invention starts from the standardization management and data sharing function of multi-source data, takes the compilation specification of regional agricultural planning as a requirement, utilizes GIS and network technology, develops a regional agricultural planning auxiliary decision-making system which integrates the functions of current situation analysis, planning target, planning positioning, functional partitioning, industrial planning, key projects, investment estimation and the like, converts the traditional manual compilation and planning mode into a computer-aided and manual combined mode, realizes the standardized storage, scientific quantitative analysis and space positioning analysis of the agricultural planning, and can effectively improve the normalization, scientificity and precision of the planning. Each planning practice developed by the system is a self-expansion process of system data, and along with the continuous deepening of application and popularization, the system data can be enriched and improved day by day, and the system data has very important significance for subsequent system upgrading, application system development and expansion of auxiliary decision making functions. Therefore, the system is not only an auxiliary decision system for agricultural planning, but also an agricultural planning database co-construction sharing system, and can lay a very solid foundation for the application of future big data technology.
Various other changes and modifications to the above-described embodiments and concepts will become apparent to those skilled in the art from the above description, and all such changes and modifications are intended to be included within the scope of the present invention as defined in the appended claims.
Claims (6)
1. A method for planning a GIS-based regional agricultural planning aid decision system, the system comprising a data management module for managing input data, a regional planning module for analyzing data of different regions and a GIS module for displaying geographical location information of a target region, the method comprising the steps of:
s1 importing data through the data management module;
s2 providing visual analysis data and status analysis of the grade thematic map based on the space data, thematic planning data and the statistical yearbook data;
s3, on the basis of the current analysis, according to the index requirements in the planning period, carrying out target setting and analysis management on the planning period, the planning target and the planning measures;
s4 develops from 3 positioning areas of macro, meso and micro levels;
s5, taking the current land utilization situation or the planning map as a base, superposing the upper planning and other related plans, dividing the area into a plurality of functional areas, drawing the functional areas in a man-machine interaction mode through a mouse, and inputting attributes and classifying and displaying key attributes;
the map of the S6 day is a base map, after the industrial, annual and project superior areas are input in a metering model condition dialog box of an industrial area quotient and the like, graphs of industrial area quotients and the like of adjacent areas of different administrative levels or the same administrative level can be obtained, the industrial area quotients of different levels can be summarized and color rendering can be carried out;
s7, selecting an industrial index based on the current situation analysis by taking a planning target as a guide, setting an increase and decrease target to obtain a final result, and displaying the final result by a two-dimensional table and a chart;
s8, based on the result of the functional partition and the industry selection analysis, superposing the land utilization plan and other related planning data, plotting the pattern spots in a man-machine interaction mode by planners, inputting the planted crops, and landing the industry;
s9, analyzing to obtain planning quantitative measures for planning personnel to select and modify according to the industrial target, the industrial current situation and the planning measures; meanwhile, according to the key link analysis and the base main body distribution diagram of the industrial chain, the planning personnel is assisted to determine key projects, and a proper base main body is selected to bear the key projects.
2. A method for performing a planning by a GIS-based regional agricultural planning aid decision-making system according to claim 1, further comprising S10 setting industrial layout rules, the main factors being scale, traffic, water sources, environment, residences, population, origin; secondly, automatically screening out land type map spots which meet the conditions in the land use planning map according to set rules, highlighting, extracting key item map layers, drawing item areas in a man-machine interaction mode, and inputting item attributes; and finally, the project area is superposed with a land utilization planning map and a heaven and earth map to carry out project layout visual display, and spatial scaling, query and drawing output are realized.
3. The GIS-based regional agricultural planning aid decision-making system for planning according to claim 1, further comprising S11, designing an investment estimation table, customizing indexes, scales, unit prices, screening project ranges, automatically obtaining project area, entering a land code, a land name, unit prices, and the like, automatically calculating the investment estimation table, and supporting output of tables.
4. The method for planning by a GIS-based regional agricultural planning aid decision system according to claim 1, wherein the GIS module comprises graphic layer control, element plotting.
5. The method for planning by a GIS based regional agricultural planning aid decision system according to claim 1, wherein the data management module comprises statistical yearbook data, spatial data management and planning symbol library; the statistical yearbook data is data which takes a town as a unit, establishes economy, industry and the like of the past year, and can be used for performing administrative division visualization by taking the town as a unit; the spatial data management is that for a paper image scanning piece or a raster image, the image registration is supported, and spatial element plotting and attribute data entry can be performed on a registered image base map; the planning symbol library is a set of standard agricultural planning symbol library and comprises different expression forms of point-shaped, linear and planar elements in different purposes.
6. The method for planning by a GIS-based regional agricultural planning aid decision system according to claim 1, wherein the regional planning module includes status quoting analysis, planning objectives, planning positioning, functional partitioning, industry planning, project focus, project layout, and investment estimation.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599142A (en) * | 2009-07-07 | 2009-12-09 | 武汉大学 | Land evaluation index classification quantitative method based on spatial data field |
| CN106202245A (en) * | 2016-06-29 | 2016-12-07 | 泰华智慧产业集团股份有限公司 | Industry map system project special topic methods of exhibiting based on data linkage and system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10096033B2 (en) * | 2011-09-15 | 2018-10-09 | Stephan HEATH | System and method for providing educational related social/geo/promo link promotional data sets for end user display of interactive ad links, promotions and sale of products, goods, and/or services integrated with 3D spatial geomapping, company and local information for selected worldwide locations and social networking |
-
2018
- 2018-07-09 CN CN201810743758.2A patent/CN108681798B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599142A (en) * | 2009-07-07 | 2009-12-09 | 武汉大学 | Land evaluation index classification quantitative method based on spatial data field |
| CN106202245A (en) * | 2016-06-29 | 2016-12-07 | 泰华智慧产业集团股份有限公司 | Industry map system project special topic methods of exhibiting based on data linkage and system |
Non-Patent Citations (1)
| Title |
|---|
| "GIS技术在区域农业产业规划中的应用研究";周灿芳等;《2014年中国农业资源与区划学会学术年会论文集》;20141030;第1-4页 * |
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