CN101706963A - Cartoon analysis method for geographic distribution and time trend of price of commodity - Google Patents
Cartoon analysis method for geographic distribution and time trend of price of commodity Download PDFInfo
- Publication number
- CN101706963A CN101706963A CN200910090994A CN200910090994A CN101706963A CN 101706963 A CN101706963 A CN 101706963A CN 200910090994 A CN200910090994 A CN 200910090994A CN 200910090994 A CN200910090994 A CN 200910090994A CN 101706963 A CN101706963 A CN 101706963A
- Authority
- CN
- China
- Prior art keywords
- price
- commodity
- market
- distribution
- coloured
- 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
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a cartoon analysis method for the geographic distribution and the time trend of the price of a commodity in the field of economic analysis. The method comprises the following steps: (1), manufacturing a background diagram with the geographical position of each market; (2), dividing the price of a designated commodity in each market into a plurality of sections; (3), setting the color value of each price section; (4), drawing a commodity price distribution diagram: drawing a colored spot distribution diagram; marking one spot at the geographical position of each market in the background diagram; fully filling the spots of the color values according to the color values set by the price section of each market, wherein the colored spots can also be expanded into the polygon of a representative area of the market and are connected with the polygon of each adjacent market in a seamless way, and a colored cloud-shaped distribution diagram is drawn; and (5), manufacturing a commodity price dynamic distribution cartoon, drawing a plurality of distribution diagrams according to different time points and displaying each diagram continuously according to a time sequence at a designated speed to form the cartoon. The invention provides a vivid and dynamic commodity price analysis technology, can guide the production and the sale of commodities, improves a production plan, promotes the commodity circulation and meets the consumption requirement.
Description
One, technical field:
The economic information analysis field
Two, background technology:
The commodity that many types are arranged are agricultural product particularly, in different regions, different time can produce different selling prices when selling, because the driving of price difference can promote the circulation of commodity.The analysis commodity can obtain commercial interest in the circulation trend in a period, also can promote the sale of commodity to stabilize market supply and demand contradiction, satisfy consumer demand.But at present, not about commodity price simple effectively, the analytical approach of visual pattern.The present method of using and the problem of existence thereof:
(1) tabulating method: the price of enumerating out commodity with the form of form.Can not describe for the user provides based on the thinking in images of when and where.
(2) time domain broken-line analysis: select the price of certain commodity in certain market or a zone, be transverse axis with the time scale, be the longitudinal axis with the price, according to the order of the time broken line that draws, with the metamorphosis performance price trend of broken line.This method has temporal analysis ability, but lacks the analysis ability in geographic position.
(3) regional numerical value labelling method: the position of the numerical value of price according to market is labeled on the map.The price numeral is too abstract, and the contact that the pricing information of commodity can't be set up image with the geographic position on this merchandise sales ground also can't this place historical price variation tendency of these commodity of pictute.
Three, summary of the invention:
(1) goal of the invention
Goal of the invention: provide a kind of vivid analytic approach of dynamic geography for studying commodity price distribution and tendency, improve enterprise or individual assurance ability, thereby improve the economic benefit of the marketing activity for market.
(2) technical scheme
With commodity price numerical value space distribution geographically and the variation on time sequencing, carry out dynamically demonstration continuously simultaneously based on the color spot, the space of this commodity price and the inner link between the time visually, are dynamically described.Concrete steps are as follows:
1. making Background.Selection comprises that the map in each geographic position, market is as Background.
2. division price segment.Selected certain agricultural product or other commodity carry out segmentation to the price of each these commodity of market, and the hop count that is divided is decided according to factor such as the quantity in market, the mobility scale of price, the needs of analysis.Usually, the segmentation that city's number is many is more, and the segmentation that price movement is big is also more.The division of price segment can not be overlapping, guarantee that each price all falls separately in the price segment uniquely.
3. define the color value of price segment.According to segmentation result,, set the color value of representing this price segment for each price segment from low to high according to price or opposite order.Usually, the high more color of price is bright-coloured more, and the low more color of price is heavy more.
4. draw the commodity price distribution plan
Can select to draw different distribution plans by the figure difference:
(1) draw commodity price coloured speckle distribution plan. on Background, marking the geographic position in each market with size appropriateness and consistent coloured speckle. the color of coloured speckle is set according to the color value of the price segment under the price of these these commodity of market. for the commodity of appointment, the price data of fixed time, after the coloured speckle drafting with each market finishes, just formed a width of cloth commodity price coloured speckle distribution plan. by the difference of each market color, just can understand the price distribution situation geographically of these commodity intuitively.
(2) draw the coloured cloud form distribution plan of commodity price.Presumable market is the price data of these commodity not, can remedy this deficiency by drawing the coloured cloud form distribution plan of commodity price.
1. draw the market area polygon.According to the geographic position in each market on the Background, determine the shape of each market representative's geographic area.Be each market and draw the polygon of a sealing, satisfy have only a market in each polygon, in the polygon arbitrarily a bit with the distance in this market than this distance seamless linking to each other of Polygonal Boundary all little, that face mutually with other market.
2. be the market interpolation of no datat.For a market that does not have price data, determine earlier its adjacent market and relative position this market and pricing information, then according to the price in each adjacent market and with the position relation of the relative coordinate in this no price data market, determine a weighted mean value, as the price interpolation in this market.
3. according to the price (real price or interpolation price) in each market,, determine the polygonal color value in each market according to the method for step 2. and step 3..
4. draw out the distribution plan of the continuous cloud form figure of having of this commodity price according to the polygonal color value in each market.Its feature is that each market on the map all has specific color, can understand the regionality that price distributes more intuitively according to the distribution of colored cloud.
5. make commodity price DYNAMIC DISTRIBUTION animation.According to the price data of each market of these commodity, can draw out several commodity price coloured speckle distribution plans or coloured cloud form distribution plan at each time point.The distribution plan of elder generation's selected reference time point is determined the DISPLAY ORDER of each distribution plan then according to time sequencing, show with the speed of appointment (for example 24 width of cloth/minute) consecutive order, thereby form the dynamic effect of similar movie.Be made into animation can be more vivid ground, dynamic each geographic area price of commodity tendency in time that reflects.
6. enrich the form of expression of distribution pattern or animation.By changing different demonstration key elements, can produce the distribution plan and the animation of different expression form.
The shape of coloured speckle can be square, rectangle, also can be positive circle, Long Circle, oval-shaped, also can be enlarged into the area of a polygon zone.In once showing, should only select a kind of shape.
Gather the time interval of price, can be day by day, by week, month by month, year by year or by hour etc.
The data of commodity price can be instantaneous prices, also can be certain period average prices.The segmentation form of price can the otherness of price change and observer be to the requirement of region segmentation degree in time according to each geo point, and differential by the re-set price classification reaches different display effects.
The definition of color value can be selected to give color value by the absolute price interval, and spot colors is fixing corresponding with price; Can also select to give color value by the relative price interval, spot colors is corresponding with the rank of price in proper order only; These different selections can obtain different display effects, and wherein a kind of display effect can be more conducive to user's analytical work, thereby see through numerous and disorderly law of character graphics displaying.
(3) advantage or good effect
The present invention utilizes human resolution characteristic and the dying characteristics of vision imaging to color, commodity price in time with the space on variation with image, movement form represents to the analyst, can be than traditional analysis means, for the analyst provides information about the more horn of plenty of the market price Changing Pattern of concrete commodity, make the analyst see through abstract numeral, from numerous and disorderly, find the rule of this commodity market price change, thereby can instruct commodity production, sell, buying, transportation, storage, economic activities such as processing, obtain bigger economic benefit. for example: through the technical program, certain carries out the enterprise of farm product procurement processing, may find in the north latitude area since spring, the price of certain agricultural product can be moved northward along with the sun, more and more cheap from south to north. therefore determined the procurement staff's of different latitude best buying hour, so that the most cheap price buying, thereby reduce cost, improve the price competitiveness and the rate of profit of processed goods.
Four, description of drawings
Fig. 1 commodity market price spot distribution schematic diagram
Fig. 2 puts commodity market price spot distribution schematic diagram reference time
Fig. 3 interval perdurability 1 commodity market price spot distribution schematic diagram
Fig. 4 interval perdurability 2 commodity market price spot distribution schematic diagrams
Fig. 5 interval perdurability 3 commodity market price spot distribution schematic diagrams
Fig. 6 interval perdurability 4 commodity market price spot distribution schematic diagrams
Fig. 7 interval perdurability 5 commodity market price spot distribution schematic diagrams
Fig. 8 interval perdurability 6 commodity market price spot distribution schematic diagrams
Five, embodiment
To Fig. 8, specifically introduce embodiments of the present invention in conjunction with Fig. 1.
1. selected a kind of commodity.
According to the regular hour scale (for example every day, weekly, per ten days, every month etc.) gather these commodity in the pricing information in market, various places (wholesale price, retail price all can, only require self-consistentency).
3. set the grade of pricing information.Generally with between the actual generating region of price by being divided into the 3-10 level from low to high, rank high price more is high more.Other number of level is decided on the purpose of analysis and the number in market.In general, obtain the of overall importance big rule that price distributes, rank should be less; Obtain the local little rule that price distributes, rank should be more.More than the number in market, rank is suitable many; The number in market is few, and rank should be lacked.
4. set the pairing color of pricing information grade.Other color of lowest price level and other color of ceiling price level will have tangible difference.For example lowest price black is used yellow at high price.The gradual change successively of middle each level color forms gradient.
5. gathering the geographic position of each market point, is that mark calculates the logical coordinates on figure according to physical coordinates, according to the scale of price of each market point, with the position mark color sign of corresponding color in correspondence.The shape of sign can be selected shapes such as square or circle, polygon.Size is determined according to the size of Background and the density in market, is not advisable so that the coloured speckle in most markets is overlapping mutually.
Arrive this, a commodity price geographic distribution has just been finished.As shown in Figure 1.
We can find out intuitively, significantly these commodity throughout the country price have than big-difference, and be south on the low side, the north higher.Price variance will be beneficial to these commodity and be transported to north sale from the south buying.
According to (for example on September 13,29 days to 2003 Dec in 2002) in a period of time equal wholesale price information of week in (5 week) uniformly-spaced,, draw the price geographic distribution of this each time of commodity respectively by 8 fixing pricing tiers, with the colored rectangles patch.
According to time sequencing above-mentioned price geographic distribution is arranged, show continuously according to the suitable time interval (for example per second 24 frames), just can be vivid, the price of seeing these commodity intuitively along with the time (red-letter days such as the season and the Spring Festival) thus the variation in geographic distribution. find the speed of its variation, the relevance in quantitative law and each market, for general trend of market development analyses and prediction provide according to (literal is difficult to reproduce dynamic, ask for an interview Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, Fig. 7, Fig. 8, consecutive order play Fig. 1 can find behind Fig. 5 all parts of the country generally price descending, find the effect of performance analysis).
The inventor utilizes the quick computing power and the graphic capability of computing machine, according to this method, the market price of the some commodity of China is analyzed, and has obtained satisfied expected results.
Claims (4)
1. figure and the animation method analyzed of commodity price, be characterised in that: carry out being the variation of analyst's pictute commodity price on room and time based on coloured speckle or polygonal image statement of area and dynamically showing continuously on time sequencing for commodity price numerical value space distribution geographically.
2. in accordance with the method for claim 1, it is characterized in that: according to the geographic position in each market, the coloured speckle that draws in the corresponding position of Background is depicted as commodity price coloured speckle distribution plan.Determining of coloured speckle color: the commodity price segmentation, the interior price of section is given same color, and different price segments are given different colors.The size of spot, with spot see clearly clear, each other be not covered as again suitable, should be consistent with the size of spot in a collection of commodity price coloured speckle distribution plan.The shape of spot: can area less square, rectangle or positive circle, Long Circle, ellipse etc.Also coloured speckle can be changed into coloured polygon in this representative zone, market, coloured polygon in each market connects into the coloured cloud form distribution plan of commodity price, and its color is determined with the coloured speckle distribution plan.
3. in accordance with the method for claim 1, its feature also is: commodity different time price is depicted as different distribution plans, according to the speed of appointment (as 24 width of cloth/minute) show continuously, form the dynamic effect of similar movie, can be more vivid ground, dynamic the price trend that reflects each geographic area of commodity.
4. according to claim 1,2,3 described methods, it is characterized in that: the otherness of price change and observer can reach different display effects by the section distance of re-set price segmentation to the requirement of region segmentation degree in time according to each geo point.Can select to give color value by the absolute price interval, color value is fixing corresponding with price segment; Can also select to give color value by the relative price interval, color value is only not corresponding in proper order with the section of price.Different selections can obtain different display effects.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200910090994A CN101706963A (en) | 2009-08-19 | 2009-08-19 | Cartoon analysis method for geographic distribution and time trend of price of commodity |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN200910090994A CN101706963A (en) | 2009-08-19 | 2009-08-19 | Cartoon analysis method for geographic distribution and time trend of price of commodity |
Publications (1)
Publication Number | Publication Date |
---|---|
CN101706963A true CN101706963A (en) | 2010-05-12 |
Family
ID=42377185
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN200910090994A Pending CN101706963A (en) | 2009-08-19 | 2009-08-19 | Cartoon analysis method for geographic distribution and time trend of price of commodity |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101706963A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102541403A (en) * | 2010-12-22 | 2012-07-04 | 上海宝钢钢材贸易有限公司 | Rich-media data display interface and implementation method thereof |
CN102682462A (en) * | 2012-04-28 | 2012-09-19 | 廊坊市大华夏神农信息技术有限公司 | Dynamic nephogram analysis method for price of agricultural product |
CN102799760A (en) * | 2012-06-18 | 2012-11-28 | 青岛禧泰房产数据技术有限公司 | Room rate time-space domain display system and display method |
CN105787754A (en) * | 2016-02-03 | 2016-07-20 | 网易传媒科技(北京)有限公司 | Advertisement stock visualization method and apparatus |
CN107481116A (en) * | 2017-08-18 | 2017-12-15 | 舒达家居用品(深圳)有限公司 | Commodity price maintaining method and device |
-
2009
- 2009-08-19 CN CN200910090994A patent/CN101706963A/en active Pending
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102541403A (en) * | 2010-12-22 | 2012-07-04 | 上海宝钢钢材贸易有限公司 | Rich-media data display interface and implementation method thereof |
CN102682462A (en) * | 2012-04-28 | 2012-09-19 | 廊坊市大华夏神农信息技术有限公司 | Dynamic nephogram analysis method for price of agricultural product |
CN102799760A (en) * | 2012-06-18 | 2012-11-28 | 青岛禧泰房产数据技术有限公司 | Room rate time-space domain display system and display method |
CN105787754A (en) * | 2016-02-03 | 2016-07-20 | 网易传媒科技(北京)有限公司 | Advertisement stock visualization method and apparatus |
CN105787754B (en) * | 2016-02-03 | 2021-06-01 | 网易传媒科技(北京)有限公司 | Advertisement inventory visualization method and device |
CN107481116A (en) * | 2017-08-18 | 2017-12-15 | 舒达家居用品(深圳)有限公司 | Commodity price maintaining method and device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Andrienko et al. | Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data | |
Andrienko et al. | Exploratory spatio-temporal visualization: an analytical review | |
Hogräfer et al. | The state of the art in map‐like visualization | |
Kinkeldey et al. | How to assess visual communication of uncertainty? A systematic review of geospatial uncertainty visualisation user studies | |
US9886937B2 (en) | Component and method for overlying information bearing hexagons on a map display | |
CN102332056B (en) | Information visualization technology-based house property data visualization system | |
Turkay et al. | Attribute signatures: Dynamic visual summaries for analyzing multivariate geographical data | |
CN108604347A (en) | The system and method that target for the Dynamic Geographic fence based on performance driving positions | |
CN106294489A (en) | Content recommendation method, Apparatus and system | |
CN101706963A (en) | Cartoon analysis method for geographic distribution and time trend of price of commodity | |
Andrienko et al. | Identifying place histories from activity traces with an eye to parameter impact | |
CN106779808A (en) | Consumer space's behavior analysis system and method in a kind of commercial circle | |
Ware et al. | Designing a better weather display | |
CN104881868A (en) | Method for extracting phytocoenosium spatial structure | |
CN112990086A (en) | Remote sensing image building detection method and device and computer readable storage medium | |
Zhou et al. | A virtual globe-based vector data model: quaternary quadrangle vector tile model | |
Terziyska | Benchmarking wine tourism destinations–the case of Bulgaria | |
Hoeber et al. | Exploring geo-temporal differences using GTdiff | |
Brennan-Horley | Mental mapping the ‘creative city’ | |
Oetting | Data visualization 101: how to choose the right chart or graph for your data | |
Minasi et al. | Geographic Information Systems are critical tools to manage wine tourism regions | |
CN102682462A (en) | Dynamic nephogram analysis method for price of agricultural product | |
EP3304529B1 (en) | Geographically smoothed demographic cartograms and cartogram server | |
Jennings | Exploring Late Bronze Age systems of bronzework production in Switzerland through network science | |
CN115545807B (en) | Business district dividing method and device, geographic information system, terminal equipment and medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
DD01 | Delivery of document by public notice |
Addressee: Cui Shuo Document name: Notification of Patent Invention Entering into Substantive Examination Stage |
|
DD01 | Delivery of document by public notice |
Addressee: Beijing Huaxia Shennong Information Technology Co.,Ltd. Cui Shuo Document name: the First Notification of an Office Action |
|
C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20100512 |