CN103500530B - Based on the automatic initial proportion chi map making method of road net space distribution - Google Patents
Based on the automatic initial proportion chi map making method of road net space distribution Download PDFInfo
- Publication number
- CN103500530B CN103500530B CN201310116666.9A CN201310116666A CN103500530B CN 103500530 B CN103500530 B CN 103500530B CN 201310116666 A CN201310116666 A CN 201310116666A CN 103500530 B CN103500530 B CN 103500530B
- Authority
- CN
- China
- Prior art keywords
- road net
- space distribution
- map
- initially
- scale
- 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.)
- Expired - Fee Related
Links
Landscapes
- Processing Or Creating Images (AREA)
- Instructional Devices (AREA)
Abstract
The present invention discloses a kind of automatic initial proportion chi map making method based on road net space distribution, belongs to numerical map, location-based service and technical field of geographic information.Invention selects reasonable initial proportion chi automatically mainly for the space distribution dense degree according to current location road net in numerical map generative process, and output map.Comprise the space distribution index of road net, set up funtcional relationship between road net space distribution and reasonable initial proportion chi, calculating and the methods such as the output of automatic initial proportion chi map.Invention is first based on classification display model extraction road net reference mark and point of interest, then generate Delaunay triangulation network and store, by gathering the reasonable initially map scale sample data that user's diverse location is selected, set up road net space distribution and the funtcional relationship initially between map scale, and adopt this funtcional relationship according to the road net space distribution index of user position automatically for user selects initially to read engineer's scale.
Description
Technical field
The present invention relates to numerical map, location-based service and technical field of geographic information, particularly relate to Map Design and the drafting method of desktop electronic map, network map and moving map.
Background technology
Under existing electricity map reading pattern, map reading initial proportion chi, usually by default or automatically inherit last reading engineer's scale, is then manually adjusted by user.But due to the difference of diverse location geographic element space distribution, default or the simple engineer's scale inherited cannot be close to the users cognitive need, cause user to increase a large amount of zoom operations, reduce the reading efficiency of map.Especially to the moving map of mobile information apparatus terminal, affect more outstanding.Because frequently operatively scheme in mobile environment or even in driving procedure, not only affect cognitive efficiency, also there is potential safety hazard.So, need research one can automatically identify geographic element space distribution, automatically select the map reading pattern of reasonable initial proportion chi.Consider that road net is the geographic element of most critical in map reading, it may be necessary the road net distribution estimating diverse location, set up road net space distribution and the relation initially between map scale, for graphical user provides the Map Services be more prone to.
Summary of the invention
The object of the invention is to solve the problem how automatically selecting rationally initially map scale in the technical fields such as desktop electronic map, network map and moving map.
The technical solution adopted in the present invention comprises two stages, and first stage selects reasonable initial proportion chi sample data for gathering user by experiment, adds up and sets up road net space distribution and the relation initially between map scale; Subordinate phase is calculate current location road net space distribution in real time, and according to the corresponding relation between road net space distribution and map scale, automatically selects reasonably initially map scale.
First stage key step comprises as follows:
(1) centered by road net, classification display model is set up.Be that display level is divided into N level by key element with road net, and different geographic element bundled with corresponding display level, subordinate comprises higher level's key element automatically.
(2) Controlling vertex of road net at different levels and important point of interest is extracted.Road net reference mark mainly comprises crossroad stomion, turning point and end points, and important point of interest mainly comprises refuelling station, service area, terrestrial reference etc., is all some object.
(3) corresponding Delaunay triangulation network is calculated based on road net Controlling vertex and important point of interest, as shown in Figure 1.
(4) diverse location map operation sample data is gathered.Comprise the road net space distribution index of current map denotation rank, current engineer's scale and current location.The space distribution index of road net calculates based on Delaunay triangulation network, computing formula is x=k/A, the triangle number (i.e. adjacent control point number) that wherein k is is summit with front position (P), A is that adjacent control point forms area on the spot corresponding to polygon, and Fig. 2 is the schematic diagram of current location and adjacent control point thereof.
(5) funtcional relationship between road net space distribution and map scale is set up in employing regretional analysis.Funtcional relationship is S=F (x), S is engineer's scale, and x is road net space distribution index, and F is the funtcional relationship between engineer's scale and road net space distribution index.Subordinate phase key step comprises as follows:
(1) the road net space distribution of current location is calculated.According to mouse or GPS location, calculate the road net space distribution index corresponding to current location, display level inherits the display level corresponding to last operation automatically, if be first actuation, automatically gets the display level of default.
(2) initially map scale is calculated.Funtcional relationship S=F (x) between distributing according to engineer's scale and path space, calculates initially map scale.
(3) initially map scale is adjusted.According to integrality (as viaduct) and the minimum indication range requirement of important information, adjustment is carried out and output map to initially map scale.
Accompanying drawing explanation
Fig. 1 is the Delaunay triangulation network schematic diagram generated based on road reference mark.
Fig. 2 is the road net space distribution index calculating schematic diagram based on Delaunay triangulation network.
Fig. 3 is based on road net space distribution automatic initial proportion chi map realization flow schematic diagram.
Embodiment
Below in conjunction with accompanying drawing and example, the invention process step is described in detail.
Set up road net space distribution index with initially map scale respective function model step is as follows:
Step one: extract the Controlling vertex of road net at different levels and important point of interest based on classification road net display model.Be that display level is divided into N level by key element with road net, and different geographic element bundled with corresponding display level, subordinate comprises higher level's key element automatically.Road net reference mark mainly comprises crossroad stomion, turning point and end points, and important point of interest mainly comprises refuelling station, service area, terrestrial reference etc., is all some object.When some localized road reference mark is too intensive, minimum threshold of distance can be set and carry out filtering and reject.The point set of final formation as shown in Figure 1.
Step 2: generate and store the Delaunay triangulation network of answering with road net reference mark at different levels and point of interest set pair.Successively select reference mark and the interest point set of different display level, then generate corresponding Delaunay triangulation network, and store respectively, to insert current location in the future and to determine space distribution tested range, the triangulation network of generation as shown in Figure 1.
Step 3: gather diverse location map operation sample experimental data.Choose representational different graphical user, centered by map road net is browsed, the road net respectively for different densities carries out map view, and is set by the user one and is satisfied with engineer's scale most.Record path space profile exponent corresponding to user's current location, this position, setting engineer's scale.The space distribution formula of index of road net is x=k/A, the triangle number (that is adjacent control point number) that wherein k is is summit with front position (P), and A is that adjacent control point forms area on the spot corresponding to polygon.In Fig. 2, P is current location, and reference mark 1-2-3-4-5-6-7-1 forms contiguous polygon, and contiguous counting is 7.
Step 4: the funtcional relationship between road net space distribution and map scale is set up in employing regretional analysis.According to the sample data that step 3 gathers, regretional analysis is utilized to set up road net space distribution and the funtcional relationship initially between map scale.
Automatically initially map scale implementation procedure is as follows:
Step one: the road net space distribution calculating current location.Obtain current mouse or GPS location, and be inserted into reference mark corresponding to current display level with point of interest is concentrated, according to the space distribution index of x=k/A calculating current location road net.
Step 2: calculate initially map scale.According to the road net space distribution set up and map scale funtcional relationship, calculate corresponding reasonable initially map scale according to road net space distribution index variable.
Step 3: adjust initially map scale.According to integrality (as viaduct) and the minimum indication range requirement of important information, adjustment is carried out and output map to initially map scale.
The entire flow that automatic initial proportion chi map making realizes as shown in Figure 3.
Claims (1)
1., based on the automatic initial proportion chi map making method of road net space distribution, it is characterized in that:
Method comprises two stages, and wherein first stage selects reasonable initial proportion chi sample data for gathering user, and add up and set up road net space distribution and the relation initially between map scale, key step comprises:
Step 1: based on reference mark and the important point of interest of classification display model extraction road net at different levels, road net reference mark mainly comprises crossroad stomion, turning point and end points, and important point of interest mainly comprises refuelling station, service area and terrestrial reference;
Step 2: calculate corresponding Delaunay triangulation network based on road net reference mark and important point of interest;
Step 3: gather diverse location map operation sample data, comprise the road net space distribution index of current map denotation rank, current engineer's scale and current location;
Step 4: the funtcional relationship between road net space distribution and map scale is set up in employing regretional analysis;
Subordinate phase is calculate current location road net space distribution in real time, and according to the funtcional relationship between road net space distribution and map scale, automatically select reasonably initially map scale, key step comprises:
Step 1: the road net space distribution calculating current location: according to mouse or GPS location, calculate the road net space distribution index corresponding to current location, display level inherits the display level corresponding to last operation automatically, if be the display level that first actuation gets default automatically;
Step 2: calculate initially map scale: according to the funtcional relationship between road net space distribution and map scale, calculate initially map scale, and according to the integrality of important information and minimum indication range requirement, adjustment is carried out and output map to initially map scale.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310116666.9A CN103500530B (en) | 2013-04-07 | 2013-04-07 | Based on the automatic initial proportion chi map making method of road net space distribution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310116666.9A CN103500530B (en) | 2013-04-07 | 2013-04-07 | Based on the automatic initial proportion chi map making method of road net space distribution |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103500530A CN103500530A (en) | 2014-01-08 |
| CN103500530B true CN103500530B (en) | 2015-11-25 |
Family
ID=49865735
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310116666.9A Expired - Fee Related CN103500530B (en) | 2013-04-07 | 2013-04-07 | Based on the automatic initial proportion chi map making method of road net space distribution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103500530B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108573652B (en) * | 2017-03-09 | 2022-10-14 | 腾讯科技（深圳）有限公司 | Road area display method and device |
| CN108806474B (en) * | 2018-06-04 | 2020-06-16 | 江苏省基础地理信息中心 | Map framing and plotting method and system based on adaptive scale measurement and calculation |
| WO2020139319A1 (en) | 2018-12-26 | 2020-07-02 | Google Llc | Default map zoom level by travel time |
| CN111383446B (en) * | 2018-12-28 | 2022-09-20 | 西安四维图新信息技术有限公司 | Method and equipment for making electronic map road information |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699545A (en) * | 2009-10-29 | 2010-04-28 | 北京师范大学 | Method and device for automatically generalizing map spatial points |
| CN101996488A (en) * | 2010-11-04 | 2011-03-30 | 上海美慧软件有限公司 | Schematic diagram drawing method suitable for traffic information expression |
| CN102779231A (en) * | 2012-06-18 | 2012-11-14 | 郑州大学 | Coordinate conversion parameter calculating method based on adjacent control point sets |
-
2013
- 2013-04-07 CN CN201310116666.9A patent/CN103500530B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101699545A (en) * | 2009-10-29 | 2010-04-28 | 北京师范大学 | Method and device for automatically generalizing map spatial points |
| CN101996488A (en) * | 2010-11-04 | 2011-03-30 | 上海美慧软件有限公司 | Schematic diagram drawing method suitable for traffic information expression |
| CN102779231A (en) * | 2012-06-18 | 2012-11-14 | 郑州大学 | Coordinate conversion parameter calculating method based on adjacent control point sets |
Non-Patent Citations (3)
| Title |
|---|
| 基于Delaunay三角网的邻近区域测度及其应用;闫超德 等;《地理与地理信息科学》;20130331;第29卷(第2期);125-126 * |
| 基于邻近的移动地图自适应可视化方法;闫超德 等;《武汉大学学报（信息科学版）》;20061231;第31卷(第12期);1112-1115 * |
| 导航电子地图的自适应多尺度表达;杨必胜，孙丽;《武汉大学学报（信息科学版）》;20080430;第33卷(第4期);363-366 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103500530A (en) | 2014-01-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Machguth et al. | The length of the world's glaciers–a new approach for the global calculation of center lines | |
| CN101976842B (en) | Method for automatically acquiring key sections based on electrical partitioning | |
| CN110675728B (en) | Generation method, device and equipment of thermodynamic diagram and computer readable storage medium | |
| CN103500530B (en) | Based on the automatic initial proportion chi map making method of road net space distribution | |
| CN105528384A (en) | An information push method and device | |
| CN106708955A (en) | Thermodynamic diagram generation method and equipment | |
| CN105320811A (en) | Method for establishing topological connected model of urban underground electricity pipe network | |
| CN104239617A (en) | Thermodynamic diagram showing method and device | |
| KR101721114B1 (en) | Method for Determining the Size of Grid for Clustering on Multi-Scale Web Map Services using Location-Based Point Data | |
| CN103020871A (en) | Electric power transmission line and disaster geographic information system | |
| Feki et al. | Geostatistically based optimization of a rainfall monitoring network extension: case of the climatically heterogeneous Tunisia | |
| CN111046968B (en) | Road network track clustering analysis method based on improved DPC algorithm | |
| CN110765220B (en) | Geographical position determining method based on thermodynamic diagram and electronic equipment | |
| CN105608153A (en) | Universal POI information association method | |
| CN103729378A (en) | Updating method and device for IP geographic information | |
| CN110716935A (en) | Track data analysis and visualization method and system based on online taxi appointment travel | |
| CN106651027A (en) | Internet regular bus route optimization method based on social network | |
| CN103516912A (en) | Mobile terminal locating and power saving method | |
| JP6396686B2 (en) | Action determination device, action determination method, and program | |
| CN103500278B (en) | The similar Typhoon Analysis method in path based on shortest path first | |
| CN101873605A (en) | Adaptive method for classifying communication environments in network planning | |
| CN102769866B (en) | A kind of differentiating method of indoor and outdoor business datum and equipment | |
| CN109583467A (en) | A kind of electric power meteorological data fusion method and system | |
| CN103712628A (en) | Navigation path drawing method and terminal | |
| CN103295465A (en) | Terminal and electronic map display method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151125 Termination date: 20190407 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |