CN103500530A - Automatic initial scale map making method based on space distribution of road network - Google Patents
Automatic initial scale map making method based on space distribution of road network Download PDFInfo
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- CN103500530A CN103500530A CN201310116666.9A CN201310116666A CN103500530A CN 103500530 A CN103500530 A CN 103500530A CN 201310116666 A CN201310116666 A CN 201310116666A CN 103500530 A CN103500530 A CN 103500530A
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Abstract
The invention discloses an automatic initial scale map making method based on space distribution of a road network, and belongs to the technical field of digital maps, location-based services, and geographic information. The automatic initial scale map making method based on space distribution of the road network is mainly used for achieving the purposes that in the generation process of a digital map, a reasonable initial scale is automatically selected according to the density degree of space distribution of the road network of the current position, and the digital map is output. The automatic initial scale map making method based on space distribution of the road network comprises the steps of calculating indexes of space distribution of the road network, building a functional relation between space distribution of the road network and the reasonable initial scale, and outputting the automatic initial scale map. According to the automatic initial scale map making method based on space distribution of the road network, firstly, control points and interest points of the road network are extracted on the basis of a hierarchical display model, then, a Delaunay triangulation network is generated and is stored, a functional relation between space distribution of the road network and initial map scales is built by collecting sample data of reasonable initial map scales selected by users at different positions, and initial reading scales are automatically selected for the users through the functional relation according to the indexes of space distribution of the road network of the positions of the users.
Description
Technical field
The present invention relates to numerical map, location-based service and geographical information technology field, relate in particular to Map Design and the drafting method of desktop electronic chart, network map and moving map.
Background technology
Existing electricity under the map reading pattern, map reading initial proportion chi, usually by default or automatically inherit last reading engineer's scale, is then manually adjusted by the user.But, due to the difference of diverse location geographic element space distribution, default or the simple engineer's scale of the inheriting cognitive need of can't being close to the users, cause the user to increase a large amount of zoom operations, reduced 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 needs research is a kind of can identify the geographic element space distribution automatically, automatically selects the map reading pattern of reasonable initial proportion chi.Consider that road net is the geographic element of most critical in map reading, be necessary that the road net by estimating diverse location distributes, set up road net space distribution and the relation between map scale initially, for the map user provides the Map Services be more prone to.
Summary of the invention
The objective of the invention is in order to solve in the technical fields such as desktop electronic chart, network map and moving map the initially problem of map scale of how automatically selecting rationally.
The technical solution adopted in the present invention comprises two stages, and first stage is selected reasonable initial proportion chi sample data for gathering by experiment the user, adds up and set up road net space distribution and the relation between map scale initially; Subordinate phase is to calculate in real time current location road net space distribution, and, according to the corresponding relation between road net space distribution and map scale, automatically selects reasonably initially map scale.
The first stage key step comprises as follows:
(1) set up the classification display model centered by road net.The road net of take is divided into the N level by display level as key element, and different geographic elements are bundled with corresponding display level, and subordinate comprises higher level's key element automatically.
(2) extract control node and the important point of interest of road nets at different levels.The 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 the some object.
(3) calculate the corresponding Delaunay triangulation network based on road network control node and important point of interest, as shown in Figure 1.
(4) gather diverse location map operation sample data.The road net space distribution index that comprises current map display level, current engineer's scale and current location.The space distribution index of road net calculates based on the Delaunay triangulation network, computing formula is x=k/A, wherein k be take the triangle number (being the adjacent control point number) that front position (P) is summit, 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) adopt regretional analysis to set up the funtcional relationship between road net space distribution and map scale.Funtcional relationship is S=F (x), and 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.The subordinate phase key step comprises as follows:
(1) calculate the road net space distribution of current location.According to mouse or GPS position, calculate the corresponding road net space distribution of current location index, display level is inherited the corresponding display level of last operation automatically, and the display level of default is got in first operation automatically if.
(2) calculate initially map scale.Funtcional relationship S=F (x) according between engineer's scale and path space distribution, calculate initially map scale.
(3) adjust initially map scale.According to integrality (as viaduct) and the minimum indication range requirement of important information, map scale is initially adjusted and output map.
The accompanying drawing explanation
Fig. 1 is based on the Delaunay triangulation network schematic diagram that the road reference mark generates.
The road net space distribution index that Fig. 2 is based on the Delaunay triangulation network calculates schematic diagram.
Fig. 3 is based on the automatic initial proportion chi of road net space distribution map realization flow schematic diagram.
Embodiment
Below in conjunction with accompanying drawing and example, the invention process step is elaborated.
Set up road net space distribution index with initially map scale respective function model step is as follows:
Step 1: the control node and the important point of interest that extract road nets at different levels based on classification road net display model.The road net of take is divided into the N level by display level as key element, and different geographic elements are bundled with corresponding display level, and subordinate comprises higher level's key element automatically.The 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 the some object.When some localized road reference mark is too intensive, can sets minimum threshold of distance and filter and reject.The final point set formed as shown in Figure 1.
Step 2: the Delaunay triangulation network that generation storage and road nets at different levels reference mark and point of interest set pair are answered.Successively select reference mark and the interest point set of different display levels, then generate the corresponding Delaunay triangulation network, and storage respectively, estimate scope in order to insert the also definite space distribution of current location in the future, the triangulation network of generation is as shown in Figure 1.
Step 3: gather diverse location map operation sample experimental data.Choose representational different map user, centered by the map road net is browsed, the road net for different densities carries out map view respectively, and is set by the user one and is satisfied with engineer's scale most.Record user's current location, corresponding path space profile exponent, the preset proportion chi in this position.The space distribution formula of index of road net is x=k/A, and wherein k be take the triangle number (that is adjacent control point number) that front position (P) is summit, 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: adopt regretional analysis to set up the funtcional relationship between road net space distribution and map scale.The sample data gathered according to step 3, utilize regretional analysis to set up road net space distribution and the funtcional relationship between map scale initially.
Automatically initially the map scale implementation procedure is as follows:
Step 1: the road net space distribution of calculating current location.Obtain current mouse or GPS position, and be inserted into reference mark corresponding to current display level and point of interest and concentrate, calculate the space distribution index of current location road net according to x=k/A.
Step 2: calculate initially map scale.According to the road net space distribution of having set up and map scale funtcional relationship, the rationally map scale initially of according to road net space distribution index variograph, getting it right and answering.
Step 3: adjust initially map scale.According to integrality (as viaduct) and the minimum indication range requirement of important information, map scale is initially adjusted and output map.
Automatically the entire flow that initial proportion chi map making is realized as shown in Figure 3.
Claims (3)
1. the automatic initial proportion chi map making method based on the road net space distribution is characterized in that:
Method comprises two stages, and wherein first stage is selected reasonable initial proportion chi sample data for gathering the user, adds up and set up road net space distribution and the relation between map scale initially, and key step comprises:
Step 1: the control node based on classification display model extraction road nets at different levels and important point of interest.The 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.
Step 2: based on road network control node and important point of interest, calculate the corresponding Delaunay triangulation network.
Step 3: gather diverse location map operation sample data.The road net space distribution index that comprises current map display level, current engineer's scale and current location.
Step 4: adopt regretional analysis to set up the funtcional relationship between road net space distribution and map scale.
Subordinate phase is to calculate in real time current location road net space distribution, and, according to the corresponding relation between road net space distribution and map scale, automatically selects reasonably initially map scale, and key step comprises:
Step 1: the road net space distribution of calculating current location.According to mouse or GPS position, calculate the corresponding road net space distribution of current location index, display level is inherited the corresponding display level of last operation automatically, the display level that default is got in first operation automatically if.
Step 2: calculate initially map scale.Funtcional relationship between distributing according to engineer's scale and path space, calculate initially map scale, and according to integrality (as viaduct) and the minimum indication range requirement of important information, and map scale is initially adjusted to also output map.
2. the automatic initial proportion chi map making method based on the road net space distribution as claimed in claim 1, it is characterized in that: at first by map view, test and gather the reasonable initial proportion chi sample that the user selects, by location-based road net space distribution, estimate, set up the funtcional relationship between road net space distribution index and map reading initial proportion chi, then according to this funtcional relationship, according to user's position, automatically select reasonable initial proportion chi output map.
3. the automatic initial proportion chi map making method based on the road net space distribution as claimed in claim 1, it is characterized in that: the map initial proportion chi of each position be not default, neither inherit last time operation, and be based on, road net space distribution index that experiment statistics obtains and the funtcional relationship between the initial proportion chi determine.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108573652A (en) * | 2017-03-09 | 2018-09-25 | 腾讯科技（深圳）有限公司 | A kind of road area display methods and device |
| CN108806474A (en) * | 2018-06-04 | 2018-11-13 | 江苏省基础地理信息中心 | It is a kind of based on adaptive scale measuring and calculating sheet line system go out drawing method and system |
| CN111383446A (en) * | 2018-12-28 | 2020-07-07 | 西安四维图新信息技术有限公司 | Method and equipment for making electronic map road information |
| US11467000B2 (en) | 2018-12-26 | 2022-10-11 | Google Llc | Default map zoom level by travel time |
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 |
|---|
| 杨必胜，孙丽: "导航电子地图的自适应多尺度表达", 《武汉大学学报（信息科学版）》, vol. 33, no. 4, 30 April 2008 (2008-04-30) * |
| 闫超德 等: "基于Delaunay三角网的邻近区域测度及其应用", 《地理与地理信息科学》, vol. 29, no. 2, 31 March 2013 (2013-03-31) * |
| 闫超德 等: "基于邻近的移动地图自适应可视化方法", 《武汉大学学报（信息科学版）》, vol. 31, no. 12, 31 December 2006 (2006-12-31) * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108573652A (en) * | 2017-03-09 | 2018-09-25 | 腾讯科技（深圳）有限公司 | A kind of road area display methods and device |
| CN108573652B (en) * | 2017-03-09 | 2022-10-14 | 腾讯科技（深圳）有限公司 | Road area display method and device |
| CN108806474A (en) * | 2018-06-04 | 2018-11-13 | 江苏省基础地理信息中心 | It is a kind of based on adaptive scale measuring and calculating sheet line system go out drawing method and system |
| 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 |
| US11467000B2 (en) | 2018-12-26 | 2022-10-11 | Google Llc | Default map zoom level by travel time |
| CN111383446A (en) * | 2018-12-28 | 2020-07-07 | 西安四维图新信息技术有限公司 | Method and equipment for making electronic map road information |
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