CN109669998A - The geographical big data method for visualizing and system drawn based on progressive transmission increment - Google Patents
The geographical big data method for visualizing and system drawn based on progressive transmission increment Download PDFInfo
- Publication number
- CN109669998A CN109669998A CN201811305595.6A CN201811305595A CN109669998A CN 109669998 A CN109669998 A CN 109669998A CN 201811305595 A CN201811305595 A CN 201811305595A CN 109669998 A CN109669998 A CN 109669998A
- Authority
- CN
- China
- Prior art keywords
- data
- increment
- area
- drawn
- drawn based
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/0486—Drag-and-drop
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Processing Or Creating Images (AREA)
Abstract
The present invention relates to big data visualization technique field more particularly to a kind of geographical big data method for visualizing drawn based on progressive transmission increment and systems, the difference is that, this method is successively the following steps are included: S1, transmission data to be loaded；S2, data are added with level label；S3, load data；S4, parsing data；S5, data increment are drawn；Increment when S6, data pull is drawn.This invention ensures that the fluency shown when carrying out magnanimity big data and pulling.
Description
Technical field
The present invention relates to big data visualization technique field more particularly to a kind of ground drawn based on progressive transmission increment
Manage big data method for visualizing and system.
Background technique
Geographical information visualization is with graphics, computer graphics and image processing techniques, Geo-informatic Tupu is inputted,
The result and data of processing, inquiry, analysis and prediction are with visual patterns such as graphical symbol, icon, text, table, videos
Theory, the methods and techniques for showing and interacting.In GIS-Geographic Information System, visualization is then with Geographical Information Sciences, calculating
Based on machine science, cartography, cognitive science, information transmission and GIS-Geographic Information System, and pass through computer technology, digital skill
Art, multimedia technology dynamic intuitively, visually show, explain, transmit geospatial information and disclose its rule, be about letter
One Men Xueke of the theory of breath expression and transmission, method and technology.Data visualization is the perfect combination of technology and art, it is borrowed
The means of auxiliary graphics are clearly effectively conveyed and link up information.On the one hand, data assign visualization with meaning；On the other hand,
Visualization increases the intelligence of data, and the two complements each other, and helps enterprise from extraction knowledge, the harvest value from knowledge in information.
The history of data visualization can trace back to the early stage of the twentieth century computer graphics fifties, and people utilize meter
Calculation machine has been created that first batch of graphical diagrams.By 1987, an entitled " Visualization in Scientific
Computing (visualization among scientific algorithm, i.e. ' scientific visualization ') " report become data visualization field development
Milestone, it highlights the necessity of new computer based visualization technique method.
The growth of data class and quantity and the promotion of Computing ability, advanced calculating are acquired with the mankind
Machine graphics techniques and method are increasingly used in handling and visualizing these data sets in large scale.Twentieth century 90
Initial stage in age, " information visualization " become new research field, it is intended to for the heterogeneity among many application fields for being abstracted
The analysis work of data set provides support.Currently, data visualization is one not only comprising scientific visualization, but also includes visualization of information
The new concept of change.It is visualization technique application new on Non-spatial Data, and people is made to be no longer limited to pass through relation data
Data information is observed and analyzed to table, moreover it is possible to see the structural relation between data and data in a manner of more intuitive.
Magnanimity big data it is visual when, be usually to be loaded directly into all data to be drawn and shown, because
For the huge of data volume, phenomena such as Caton is not smooth is easy to appear when figure pulls.
In consideration of it, providing a kind of big number of the geography drawn based on progressive transmission increment to overcome prior art disadvantage
Become this field urgent problem to be solved according to method for visualizing and system.
Summary of the invention
The purpose of the present invention is to overcome the shortcomings of the existing technology, provides a kind of ground drawn based on progressive transmission increment
Big data method for visualizing and system are managed, ensure that the fluency shown when carrying out magnanimity big data and pulling.
In order to solve the above technical problems, the present invention provides a kind of geographical big datas drawn based on progressive transmission increment
Method for visualizing, the difference is that, method includes the following steps:
S1, transmission data to be loaded: required data are transferred to front end；
S2, data are added with level label:
S21, data hierarchy is defined；
S22, the data of different shape are individually placed in different layers, and adding layers secondary label；
S3, load data:
S31, according to data shape, establish intelligence index；
S32, area's piece is divided into the data in each data hierarchy by index；
The data of S33, gradual loading zone piece；
S4, parsing data: before having loaded data and having started drafting, first by the compressed data of coordinate and binary type
Data are parsed into original geometry data；
S5, data increment are drawn: being carried out drafting in order to each area's sheet data of load and shown；
Increment when S6, data pull is drawn:
S61, when carrying out figure drag operation, drafting first is carried out to some area's pieces and is shown, other area's pieces wouldn't be drawn；
S62, after having pulled, increment is drawn and shows other area's pieces.
By above scheme, in step S1, data type to be loaded includes original geometry data, the compressed number of coordinate
According to, binary data three types.
By above scheme, in step S22, the data of transmission are layered by the data organizational structure of point, line, surface, and with number
Word 1,2,3 ..., n adding layers secondary label.This not only realizes visual covering up and down, it is often more important that works as graphic element
Update after changing will can be confined in the graph layer changed.
By above scheme, in step S32, by area's piece of division by 1,2,3 ..., be labeled in the way of n.
By above scheme, in step S5, the sequence refers to the importance priority sequence of preset each element.
By above scheme, in step S61, the area's piece drawing display and wouldn't drawing can preset and modify.
Simultaneously to realize the above goal of the invention, the present invention also provides a kind of geography drawn based on progressive transmission increment
Big data visualization system, the difference is that, which includes:
It is used for transmission the data transfer layer of all types of data；
For tagged level label adding layers to be layered and added to it according to data organizational structure；
For loading the data loading layer of data；
For data to be parsed into the data analytic sheaf of original geometry categorical data；
For drawing the increment drafting layer that strategy draw display using increment；
Layer is drawn for the drag operation increment when carrying out drag operation.
By above scheme, the data loading layer includes establishing the index intelligently indexed to establish unit and will be counted according to index
According to the data dividing unit for being divided into area's piece.
By above scheme, it includes for specifying the different degree of area's sheet data in each data hierarchy excellent that the increment, which draws floor,
The drafting sequencing unit of first grade and increment drawing unit for drawing each area's piece in a designated order.
By above scheme, the data that the drag operation increment draws viewing area piece when layer includes specified drag operation are specified
Unit and increment draw the drawing unit in these areas, and the increment drafting list of remaining area's sheet data is drawn after the completion of pulling
Member.
By above scheme it is found that the invention has the benefit that
Drafting is carried out after all data show, pulled when data volume is very big compared to being loaded directly into originally
Phenomena such as Caton is not smooth is easy to appear when Deng operation, and the present invention is using to gradual district by district after the piece of data rationalization partition
Transmission, and increment type draws the mode in each area, in this way, only show weight when carrying out the operation such as pulling to magnanimity big data
The high area's piece of big priority is spent, the data of the low section of priority small for different degree wouldn't draw display, after having operated
It draws one by one and shows all elements, such increment type method for drafting both ensure that the integrality of data in operation or guarantee
The fluency of display.
Detailed description of the invention
Fig. 1 is data hierarchy label schematic diagram；
Fig. 2 is to establish intelligence index schematic diagram；
Fig. 3 is the schematic diagram that data are divided into area's piece；
Fig. 4 is the schematic diagram shown when the Road in ten thousand New York 1:100 pulls；
Fig. 5 is the schematic diagram shown after the completion of the Road in ten thousand New York 1:100 pulls；
Fig. 6 is a kind of flow chart of geographical big data method for visualizing drawn based on progressive transmission increment；
Fig. 7 is a kind of flow chart of geographical big data visualization system drawn based on progressive transmission increment；
Fig. 8 is the structural schematic diagram of data loading layer in Fig. 7；
Fig. 9 is the structural schematic diagram that data increment draws layer in Fig. 7；
Figure 10 is the structural schematic diagram that data drag operation increment draws layer in Fig. 7；
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached in the embodiment of the present invention
Figure, technical scheme in the embodiment of the invention is clearly and completely described.It should be appreciated that being retouched below with reference to attached drawing
The embodiment stated is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
Fig. 1 is please referred to Figure 10.
1) data to be loaded are uploaded
Available data type is original geometry data, the compressed data of coordinate and binary data, original geometry data
With the position of x, each point of y coordinate representation, the compressed data of coordinate indicate intermediate point with the incremental coordinates apart from starting point
Coordinate, binary data are the incremental coordinates that the coordinate and intermediate point of starting point are stated in the form of binary.By these data
Upload to front end.
2) level label is added to data
For example, some area there are several GPS datas, by the form of data, three layers are classified as, successively adds level mark
Label, the 1st layer is point data herein, and the 2nd layer is line number evidence, and the 3rd layer is face data.
3) data are loaded
3-1) establish index
It can establish an intelligence index according to the form of these data.
Corresponding index grid, such as Fig. 2 are generated to data according to data shape, data-intensive local grid dividing is got over
Carefully, the local grid dividing of Sparse is bigger.
3-2) data are divided into area's piece by index
According to 2-1) in the index established, each layer of all GPS points are divided, then the data in each sash are then
It is divided into area's piece, these zonings is once divided into several area's pieces, herein, as shown in figure 3, respectively by the 1st
Layer, the 2nd layer, these GPS datas in the 3rd layer by intelligence index carry out the district division, corresponding draw first is arranged in each area's piece
Threshold value (batCount) processed can be 500-1000, then area's piece number to determine the lot number drawn each time
(indexNumber) it is equal to the ratio of all drafting points (allCount) and drafting number of threshold values, i.e.,
IndexNumber=allCount/batCount (1)
Assuming that herein, we set threshold value 1000, be divided into the area Liao10Ge piece altogether, be denoted as 1,2,3 ..., 10, such as Fig. 3 institute
It is shown as the 1st, the 2nd, 10 area's sheet datas in the 3rd these three floor.
2-3) data are loaded one by one by area's piece
As shown in figure 3, to the data of each layer, gradual load the 1st, the 2nd, the area the 1-10 piece in the 3rd these three floor district by district
Data.
4) data parse
Since the data of original geometry type can only be read when drawing, so first by the compressed data of coordinate and binary system
The data of type are parsed into original geometry categorical data.
4-1) for the compressed coordinate resolution of coordinate at original geometry categorical data, specific principle is as described below.
4-1-1) starting point coordinate: (1163424,302535) represent the starting point of longitude 116.3424, longitude 30.2535.
4-1-2) the incremental coordinates of subsequent additional point 1: in upper point, that is, starting point increment of coordinate, i.e., (36,25) represent
What is indicated is the subsequent additional point 1 of longitude 116.3460, longitude 30.2560.
What 4-1-2) incremental coordinates (20,25) of subsequent additional point 2 indicated is the warp in the i.e. subsequent additional point 1 of a upper point
The increment of latitude, that is, what is indicated is the subsequent additional point 2 of longitude 116.3480, longitude 30.2595.
It around this principle can be the data of original geometry type after the compressed data conversion of coordinate.
4-2) the data standard of binary type changes the data of original geometry type into.
Binary principle is similar to above, main difference is that binary system is unreadable (intuitive identification), it is necessary to press
Carrying out one-to-one format parsing according to defined writing format could obtain.
4-2-1) be as follows one 64 binary type data, then first 32 and latter 32 have respectively indicated
The longitude and latitude of point, i.e.,
If 4-2-2) the data of next 64 binary types, one increment of coordinate of every 8 expressions, adjacent two
A 8 indicate the incremental coordinates of a subsequent additional point, then one 64 binary system coordinates can indicate that the increment of 4 points is sat
Mark.
It is consistent with method described in 4-1) after 4-2-3) knowing incremental coordinates.
The data of binary type can be converted to the data of original geometry type according to above-mentioned principle.
5) data of load are drawn.
When drafting, first according to the importance of each element, classification drafting is carried out to the data of this area 1-10 piece.Such as it draws
Data in 3rd layer, there is step as described below:
5-1) first to the data in the area 1-10, row from big to small is carried out according to the size of area pattern, perimeter size
Sequence, we specify a different degree priority orders by such sequence, successively carry out increment type drafting.
5-2) drafting is carried out according to specified different degree priority orders to data in 1st area first to show.
5-3) while 1st area is drawn, 2,3 ..., 10th area are successively drawn according to specified different degree priority orders
System.Because interval time difference of each area when drawing is smaller, visually it is difficult to find out, so visually, these areas
It shows simultaneously.
6) drafting when data drag operation
When data pull, in order to guarantee the fluency of display specifies a part of area's sheet data not when clicking mouse
Display is drawn, then only shows other area's sheet data, the data of such as specified area 1-3 piece are drawn and shown when pulling, such as
Fig. 4 show the Road schematic diagram that data are shown when pulling in ten thousand New York 1:100.
After the completion of dragging, when unclamping click, then increment type drafting is successively carried out by the sequence in the area 4-10, both guaranteed in this way
Fluency when pulling also ensures integrality when display.
As shown in figure 5, the data that data volume when carrying out drag operation is all shown after the completion of obviously relatively operation
It measures much smaller, therefore, it ensure that in operation, reducing the data of drafting, ensure that the fluency that data are shown, meanwhile,
After the completion of operation, not shown data carry out increment and draw display, ensure that the integrality of data.
To sum up, data are first added level label by the embodiment of the present invention, carry out subregion to the data on a level, and press
Increment drafting is successively carried out to the data in each area after area's progressive transmission, ensure that carry out the dragging of magnanimity big data when
Wait the fluency of display.
The above content is specific embodiment is combined, further detailed description of the invention, and it cannot be said that this hair
Bright specific implementation is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, it is not taking off
Under the premise of from present inventive concept, a number of simple deductions or replacements can also be made, all shall be regarded as belonging to protection of the invention
Range.
Claims (10)
1. the geographical big data method for visualizing drawn based on progressive transmission increment, which is characterized in that this method includes following
Step:
S1, transmission data to be loaded: required data are transferred to front end；
S2, data are added with level label:
S21, data hierarchy is defined；
S22, the data of different shape are individually placed in different layers, and adding layers secondary label；
S3, load data:
S31, according to data shape, establish intelligence index；
S32, area's piece is divided into the data in each data hierarchy by index；
The data of S33, gradual loading zone piece；
S4, parsing data: before having loaded data and having started drafting, first by the compressed data of coordinate and binary type data
It is parsed into original geometry data；
S5, data increment are drawn: being carried out drafting in order to each area's sheet data of load and shown；
Increment when S6, data pull is drawn:
S61, when carrying out figure drag operation, drafting first is carried out to some area's pieces and is shown, other area's pieces wouldn't be drawn；
S62, after having pulled, increment is drawn and shows other area's pieces.
2. the geographical big data method for visualizing according to claim 1 drawn based on progressive transmission increment, feature
Be: in step S1, data type to be loaded includes original geometry data, the compressed data of coordinate, binary data three
Seed type.
3. the geographical big data method for visualizing according to claim 1 drawn based on progressive transmission increment, feature
Be: in step S22, by the data of transmission by point, line, surface data organizational structure be layered, and with number 1,2,3 ..., n
Adding layers secondary label.
4. the geographical big data method for visualizing according to claim 1 drawn based on progressive transmission increment, feature
Be: in step S32, by area's piece of division by 1,2,3 ..., be labeled in the way of n.
5. the geographical big data method for visualizing according to claim 1 drawn based on progressive transmission increment, feature
Be: in step S5, the sequence refers to the importance priority sequence of preset each element.
6. the geographical big data method for visualizing according to claim 1 drawn based on progressive transmission increment, feature
Be: in step S61, the area's piece drawing display and wouldn't drawing can preset and modify.
7. the geographical big data visualization system drawn based on progressive transmission increment, it is characterised in that: the system includes
It is used for transmission the data transfer layer of all types of data；
For tagged level label adding layers to be layered and added to it according to data organizational structure；
For loading the data loading layer of data；
For data to be parsed into the data analytic sheaf of original geometry categorical data；
For drawing the increment drafting layer that strategy draw display using increment；
Layer is drawn for the drag operation increment when carrying out drag operation.
8. the geographical big data visualization system according to claim 7 drawn based on progressive transmission increment, feature
Be: the data loading layer includes establishing the index intelligently indexed to establish unit and divide data into area's piece according to index
Data dividing unit.
9. the geographical big data visualization system according to claim 7 drawn based on progressive transmission increment, feature
Be: it includes the drafting sequence for specifying the different degree priority of area's sheet data in each data hierarchy that the increment, which draws floor,
Unit and increment drawing unit for drawing each area's piece in a designated order.
10. the geographical big data visualization system according to claim 7 drawn based on progressive transmission increment, feature
Be: the drag operation increment is drawn the data designating unit of viewing area piece and increment when layer includes specified drag operation and is drawn
The drawing unit in these areas is made, and draws the increment drawing unit of remaining area's sheet data after the completion of pulling.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811305595.6A CN109669998A (en) | 2018-11-05 | 2018-11-05 | The geographical big data method for visualizing and system drawn based on progressive transmission increment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811305595.6A CN109669998A (en) | 2018-11-05 | 2018-11-05 | The geographical big data method for visualizing and system drawn based on progressive transmission increment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109669998A true CN109669998A (en) | 2019-04-23 |
Family
ID=66142514
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811305595.6A Pending CN109669998A (en) | 2018-11-05 | 2018-11-05 | The geographical big data method for visualizing and system drawn based on progressive transmission increment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109669998A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063158A (en) * | 2014-06-05 | 2014-09-24 | 北京东进航空科技股份有限公司 | Vector map drawing method and device |
| CN108133044A (en) * | 2018-01-12 | 2018-06-08 | 适普远景遥感信息技术（北京）有限公司 | Space big data three-dimensional visualization method and platform based on attribute separation |
| CN108520557A (en) * | 2018-04-10 | 2018-09-11 | 中国人民解放军战略支援部队信息工程大学 | A kind of magnanimity building method for drafting of graph image fusion |
-
2018
- 2018-11-05 CN CN201811305595.6A patent/CN109669998A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104063158A (en) * | 2014-06-05 | 2014-09-24 | 北京东进航空科技股份有限公司 | Vector map drawing method and device |
| CN108133044A (en) * | 2018-01-12 | 2018-06-08 | 适普远景遥感信息技术（北京）有限公司 | Space big data three-dimensional visualization method and platform based on attribute separation |
| CN108520557A (en) * | 2018-04-10 | 2018-09-11 | 中国人民解放军战略支援部队信息工程大学 | A kind of magnanimity building method for drafting of graph image fusion |
Non-Patent Citations (4)
| Title |
|---|
| MIN CHEN等: "A processive transmission strategy for GIS vector data under the precondition of pixel losslessness", 《SPRINGER》 * |
| 刘建忠: "矢量地图数据渐进式传输的研究", 《铁路计算机应用》 * |
| 唐雅玲: "矢量Web网络地图应用研究", 《测绘与空间地理信息》 * |
| 苗茹: "面向WEB可视化的矢量数据流式渐进传输研究", 《中国优秀博士学位论文全文数据库 基础科学辑（月刊）》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10996823B2 (en) | Interactive geospatial map | |
| US11604555B2 (en) | Highlighting data marks in popup secondary data visualizations according to selected data values from primary data visualizations | |
| US9645727B2 (en) | Drag and drop of graph elements | |
| US9696880B2 (en) | Screen management system | |
| US10963144B2 (en) | Graphically organizing content in a user interface to a software application | |
| EP3133510A1 (en) | Interactive geospatial map | |
| AU2004240253A1 (en) | Graphical representation, storage and dissemination of displayed thinking | |
| US10565560B2 (en) | Alternative people charting for organizational charts | |
| CN104090769B (en) | The figure methods of exhibiting and device of a kind of business datum | |
| US11921795B2 (en) | Data normalization and extraction system | |
| US20160224534A1 (en) | Grid-based user interface system | |
| CN102157003A (en) | Automatic configuration method for annotation label of map under digital environment | |
| US20110012917A1 (en) | Dynamic generation of images to facilitate information visualization | |
| CN106484388A (en) | The implementation method of user interface and device | |
| US20150040049A1 (en) | Modeling hierarchical information from a data source | |
| CN110309239B (en) | Visual map editing method and device | |
| CN109669998A (en) | The geographical big data method for visualizing and system drawn based on progressive transmission increment | |
| JP2020067998A (en) | Method for analyzing patent literature set | |
| US20220342534A1 (en) | Dynamic graphical containers | |
| CN113126866B (en) | Object determination method, device, electronic equipment and storage medium | |
| CN108491150A (en) | Control moving method, device, terminal and storage medium | |
| US20160110336A1 (en) | User interface technology for displaying table data | |
| CN108804095A (en) | A kind of attribute definition method of monitored picture pixel | |
| CN110232102B (en) | Personnel relation model modeling method based on transfer learning | |
| Poladi | Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190423 |