CN110569292A - Data annotation method and system based on electronic map - Google Patents
Data annotation method and system based on electronic map Download PDFInfo
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Abstract
The invention discloses a data annotation method and a system based on an electronic map, wherein the method comprises the following steps: establishing an electronic map display model comprising N proportional scale levels, wherein N is a positive integer; according to a preset aggregation rule, data identification forms under different scale levels are formulated, wherein the preset aggregation rule comprises that the data identification forms of all the scale levels are transited from aggregation display to scattered point display along with the increase of the scales; and after receiving a query data display instruction, displaying the query data according to a data identification form under the current scale level, wherein the displayed identifications of the query data under the same data identification form are the same. The invention is beneficial to ensuring the continuity and the conspicuity of data query and greatly improving the user experience by the same identifier displayed by the query data under the same data identifier form.
Description
Technical Field
the embodiment of the invention relates to the technical field of information, in particular to a data annotation method and system based on an electronic map.
Background
with the rapid development of the internet, the application of the WebGIS (network geographic information system) has penetrated into various industries such as military affairs, economy, ecology, planning, traffic, electric power, water conservancy, logistics and the like, and provides various application services such as position positioning, path planning, real-time traffic, real-time street view, space analysis, space visualization of multi-source data and the like. In the aspect of user experience, the electronic map provides a more comprehensive and accurate information query mode, a user can conveniently and quickly query the position of the interest point and the service attribute information in a specific area range through a browser, and a query result is marked on the map in a point identification mode.
The scale levels at which maps are scaled differ, and there is a large difference in the actual geographic area represented by the user's browser field of view. Many application scenes can relate to hundreds of thousands of magnitude data, if massive data points are directly rendered on a map in a single-to-single mode without any processing, when the scale of the marking points reaches a certain magnitude, the marking points are easily overlapped and covered and are disordered, and excessive marking points can shield a base map, so that a user can not clearly check specific geographic position information of the data points, the map visual effect and interactive operation are influenced, the phenomena that the base map is slowly loaded and is blocked, the browser response is delayed or even crashed and the like due to excessive occupation of system resources are caused, and the user experience is seriously influenced.
Aiming at the problems, the traditional electronic map marking technology preferentially displays the point positions of the upper layer according to the upper and lower superposition relationship of the layer; in addition, a method for uniformly publishing point locations is used for reducing the number of the identification point locations, but the method has the defects of being related to a spatial analysis algorithm and low in processing efficiency. At present, a general solution of a map provider is to aggregate identification points and provide a point location aggregation function interface API based on a JavaScript language for developers to call, which has the disadvantages that when point locations with a million data level are rendered, the computation amount of an aggregation algorithm is still large, and the performance of a browser is greatly examined.
Disclosure of Invention
In view of the above problems, embodiments of the present invention provide a data annotation method and system based on an electronic map, which overcome or at least partially solve the above problems.
According to an aspect of the embodiments of the present invention, there is provided a data annotation method based on an electronic map, the method including:
Establishing an electronic map display model comprising N proportional scale levels, wherein N is a positive integer;
According to a preset aggregation rule, making data identification forms under different scale levels; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display;
after receiving a query data display instruction, displaying the query data according to the data identification form under the current scale level; and the identifiers displayed by the query data in the same data identifier form are the same.
Preferably, the N scale levels sequentially include a country scale level, a provincial scale level, a city scale level, a district/county scale level and a street/township scale level from large to small according to a scale; the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a gathering mode, and the data identification forms under the district/county scale level and the street/township scale level are displayed in scattered points.
Preferably, the aggregate display comprises: and inquiring display data under the current scale level according to an administrative division embodied by the next level scale level, and performing data statistics to obtain the inquiry display data.
Preferably, the scatter display includes: and inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value of a current page of the map to obtain the data.
According to another aspect of the embodiments of the present invention, there is also provided an electronic map-based data annotation system, including:
The map building module is used for building an electronic map display model comprising N scale levels, wherein N is a positive integer;
The data identification module is used for formulating data identification forms under different scale levels according to a preset aggregation rule; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display;
The data display module is used for displaying the query data according to the data identification form under the current scale level after receiving a query data display instruction; and the identifiers displayed by the query data in the same data identifier form are the same.
Preferably, the map building module comprises a hierarchy dividing unit, wherein the hierarchy dividing unit is used for sequentially dividing the N scale hierarchies into a country-level scale hierarchy, a provincial-level scale hierarchy, a city-level scale hierarchy, a district/county-level scale hierarchy and a street/township-level scale hierarchy from large to small according to a scale; the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a gathering mode, and the data identification forms under the district/county scale level and the street/township scale level are displayed in scattered points.
Preferably, the aggregate display comprises: and inquiring and displaying data under the current scale level, and performing data statistics according to the administrative division embodied by the next level scale level to obtain the data.
preferably, the scatter display includes: and inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value of a current page of the map to obtain the data.
the invention provides a data labeling method and a system based on an electronic map, the method establishes an electronic map display model comprising N scale levels, N is a positive integer, and formulates data identification forms under different scale levels according to a preset aggregation rule, the preset aggregation rule comprises that as the scale increases, the data identification forms of all the scale levels transit from aggregation display to scattered point display and progress layer by layer, which is beneficial to a user to grasp the space distribution condition of business data from whole to local and from overview to detailed multi-aspect on the map, solves the problems of interface disorder, primary and secondary non-separation, heavy browser load and the like caused by simultaneous rendering of data points, and displays the query data according to the data identification form under the current scale level after receiving a query data display instruction, and the displayed identifications of the query data under the same data identification form are the same, the method is beneficial to ensuring the continuity and the conspicuity of data query, and greatly improves the user experience.
drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of the data annotation method based on the electronic map according to the invention;
FIG. 2 is a diagram illustrating national customer data in an example of the present invention;
FIG. 3 is a schematic diagram of customer data for Guangdong province in an example of the invention;
FIG. 4 is a schematic diagram showing customer data in the Nanshan region of Shenzhen City in the example of the present invention;
FIG. 5 is a schematic view of customer data for a street in the southern mountainous area in accordance with an example of the present invention;
FIG. 6 is a schematic diagram of the data annotation system based on the electronic map according to the present invention;
Fig. 7 shows a schematic structural diagram of the map building module of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
fig. 1 is a flowchart illustrating an embodiment of a data annotation method based on an electronic map according to the present invention, and as shown in fig. 1, the data annotation method based on the electronic map includes the following steps:
Step 110: and establishing an electronic map display model comprising N scale levels, wherein N is a positive integer.
different from the setting mode of setting the scale according to specific numerical values for the electronic map, which is common in the industry, in the technical scheme, the set N scale levels sequentially comprise a country scale level, a provincial scale level, a city scale level, a district/county scale level and a street/township scale level from large to small according to the scale, namely, the map scale levels are divided into five levels according to 'country', 'province', 'city', 'district/county', 'street/township'.
Step 120: according to a preset aggregation rule, making data identification forms under different scale levels; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display.
According to the aggregation rule, as the scale is increased, the identification form of the data of each scale level is transited from aggregation display to scatter display. Specifically, the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a polymerization manner; the data identification form under the district/county scale level and the street/township scale level is displayed in scattered points.
And aggregating the query display data under display, and performing data statistics on the current scale level according to the administrative division embodied by the next scale level. Specifically, data statistics is carried out on the data of the national scale levels according to the province aggregation; carrying out data statistics on provincial scale level data according to city aggregation; and carrying out data statistics on the data of the city scale level according to the aggregation of 'district/county'. And under scattered point display, inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value range of a current page of the map to obtain the data. Specifically, for example, the query data of each district/county displayed at the district/county scale level is subjected to data statistics according to the page area range of each district/county on the current map page and the preset grid value range, where the preset grid value range is 75 pixels in this embodiment.
each scale level is set in accordance with the scale range shown in table 1 below.
TABLE 1
Scale level | Scale range |
National scale level | [300km,30km) |
Provincial scale level | [30km,5km) |
Market scale hierarchy | [5km,1km) |
regional/county scale hierarchy | [1km,100m) |
Street/town scale hierarchy | [100m,10m] |
In the aggregated display, the content of the data display of the inquired data in the scale range of each scale level is not changed, for example, in the national scale level, the statistical data of the aggregated display of the client cooperative with a certain logistics company in Guangdong province is 300, and the statistical data of the aggregated display of the client cooperative with the logistics company in Guangdong province is still 300 and is not changed no matter how the scale size displayed by the electronic map is changed in the range of [300km, 30km ].
Under scattered point display, data display contents of the inquired data in the scale range of each scale level are subjected to data statistics according to a preset grid value range (such as 75 pixels) of a map page (namely the current map page) after the scale is amplified along with the amplification of the scale. For example, at the scale level of district/county, a client collaborating with a certain logistics company displays query data in the area of bao 'an, wherein statistical data displayed by a scatter point is 300, when the scale displayed by an electronic map changes within the range of [1km, 100km ], the amount of the scatter point of the query data displayed by the client collaborating with the logistics company in the area of bao' an correspondingly changes, and the query data displayed by each scatter point performs data statistics according to a preset grid value range (such as 75 pixels) of a current page of the map.
The data identification forms under different scale levels are formulated according to the preset aggregation rule, and as the scales are increased, the data identification forms of all the scale levels are transited from aggregation display to scattered point display, so that a user can conveniently grasp the space distribution condition of the business data from the whole to the local on a map and from the overview to the detailed multi-aspect, and the problems of interface disorder, primary and secondary non-separation, serious browser load and the like caused by simultaneous rendering of data points are solved.
step 130: after receiving a query data display instruction, displaying the query data according to the data identification form under the current scale level; the query data display identifiers under the same data identifier form are the same.
Wherein receiving the query data display instruction comprises receiving a scale switching instruction after detecting a user click/input event.
Specifically, the query data comprises two conditions, wherein the first condition is that the whole scale level is traversed, and the query is carried out in sequence from large to small until the data information desired by the user is searched; the method comprises the steps of inquiring data of a certain item in the whole country, displaying the data of the certain item in each province after counting the data according to a preset aggregation rule and a province aggregation display mode, then selecting one of the provinces for inquiry according to the data of the certain item in each province, displaying the data of the certain item in each city after counting the data of the certain item in the city aggregation display mode, and so on; the second case is that in each hierarchy, a certain item of data of the current hierarchy is directly selected for query, for example, a certain item of data of a city can be directly input for query. The above two cases will be specifically explained in the following examples.
The query data display identifiers in the same data identifier form are the same and specifically: the data identifiers displayed in the aggregation mode are the same, namely the identifiers displayed by the same type of query data under the national scale level, the provincial scale level and the urban scale level are the same, and the identifiers displayed by scattered points are the same, namely the identifiers displayed by the same type of query data are the same when the scattered points are displayed. It should be noted that, the identifiers in this embodiment are the same, including the appearance style of the presentation and the data content form are the same, for example, the data displayed in the aggregate is all represented by "rectangular appearance + data item + data statistics value"; the data displayed by the scattered points are represented by icons in a mode of icon + data statistics, the icons are designed differently according to the type of query data, and if the type of the query data is customer, the portrait icons are used as the icons. The continuity and the conspicuity of data query are ensured by setting the same identifier displayed by the query data in the same data identifier form, and the user experience is greatly improved.
In addition, in the same scale level, in order to display different data in a differentiated manner, the data can be displayed in different identification colors, that is, any data is selected to be queried in the current scale level, and when the selected data is expanded and displayed from the current scale level to the next scale level, the color of the expanded selected data and the color of the expanded other data can be different for distinguishing. For example, querying data of clients nationwide of a logistics company cooperation will count and display each province client according to a preset aggregation rule and a province aggregation display mode, and then select a Guangdong province to query, and then count and display each city client according to a Guangdong province aggregation display mode, but the selected Guangdong province client statistics data is drilled down and then distinguished according to expanded client data of each city and other provinces, and then the client data is drilled down and then distinguished according to different color marks, so as to improve the visual expression effect of the data.
For example, a specific example is described below, in which data of "clients" collaborated with a logistics company is queried in an electronic map, so as to describe in detail a "syndication-scatter" effect of the embodiment of the data tagging method based on the electronic map at a browser end, and syndication rules and display effects of other data items, such as "venue", "industry", and the like, are consistent with the data of the "clients". The data annotation method based on the electronic map calls the corresponding data items through the interface, and the storage, the update, the maintenance and the like of the data are all completed in a business side database.
Specifically, referring to fig. 2, in the first case of selecting "client" data for querying "nationwide" at the browser end, that is, the query data described in step 130, after the map receives the query instruction, the front end renders the nationwide client data on the electronic map in a manner of "province" aggregation, and marks an aggregation style as one of blue, red or other colors, where the color may be preset, fig. 2 is a non-color display example, and an aggregation point of the data may be set at a position of a province by default, and the data identifier displayed in an aggregation manner is displayed in a style of "rectangular appearance + data item + statistics of each province", for example: guangdong province "guest 49 thousand". The data identification modality may be predictive of a setting.
further, referring to fig. 3, the user clicks "guangdong province", the server side responds, the electronic map is enlarged to reach the province scale level, and the front end renders the client data aggregation effect of each "city" in all provinces according to the aggregation rule. In order to improve the visual expression effect of the Web end and facilitate the user to identify the clicked aggregation item, the front end marks the data identifier of the client data of each city expanded after the selection of Guangdong province as red, marks the data identifier of the client data of each city expanded after the non-selection of other provinces as blue, and the color can be adjusted according to the actual situation. For example: and selecting the client data of Guangdong province to display, wherein the data identification marks of the client data displayed in various local cities of the scattered Guangdong province are red, and the data identification marks of the client data displayed in various local cities of the rest provinces are blue. The aggregation point may be set in the position of the city of the grade by default, and the data identifier displayed in the aggregation is displayed according to the style of "rectangle appearance + data item + statistics of each city", for example: shenzhen city guest 14.2 ten thousand. The data identification form displayed by provincial level aggregation is the same as the data identification form displayed by national level.
And further clicking the Shenzhen city, responding by the server, enlarging and drilling the electronic map to a scale level of the city, rendering the aggregation effect of each district in all the district cities by the front end according to the aggregation rule, and rendering the aggregation effect of each district/county if other district cities simultaneously contain the district and the county. Similarly, the color of the client data identifier of each selected expanded region in Shenzhen city can be marked as red, the color of the client data identifier of each expanded region in other cities can be marked as blue, the aggregation point is default to be arranged at the position of each region, and the data identifier displayed in aggregation still is displayed according to the style of 'rectangular appearance + data item + statistics value of each region', for example: "Gu 3.5 ten thousand" in the south mountain area. And the data identification form of the city level aggregation display is the same as that of the provincial level display. Furthermore, hovering interaction can be added to the browser end, and a user can conveniently check the boundary range and the data item details of each area.
Further, referring to fig. 4, clicking "south mountain area", responding by the server, and magnifying the electronic map to reach the area/county scale; and the background calls a client resource interface and returns detailed information of the longitude and latitude, the enterprise type, the affiliated industry and the like of the client data point. In order to further improve the performance and reduce the load of the browser end, when the front end performs scattered point display on the scale levels of the district/county and street/village and town, data displayed by each scattered point are subjected to data statistics according to a preset grid value range of a current map page, such as 75 pixels. The data displayed by the scatter dots are represented by an icon + data statistics value, for example, a portrait icon is used as shown in fig. 4, and the data identifier of the data item of the client under the scatter dot display is represented in the form of a numerical value of the data statistics displayed at the upper right corner of the portrait icon; further, an upper limit is set on the statistic value of the scatter display, such as "999", and when the statistic value exceeds 999, as indicated by "…", the hover returns the number details.
Further, clicking a data identifier with a numerical value at the upper right corner, amplifying and drilling down the electronic map, presetting a grid value range according to the current page of the map when front-end scattered points are displayed, carrying out data statistics if 75 pixels are used, marking the expanded data identifier after clicking red, marking the data identifiers of other customers purple, naturally, adjusting the color according to the actual condition, wherein the sum of the numbers of the upper right corner of the expanded scattered points is equal to the numerical value of the previously clicked data identifier, and the number mark is not made at the upper right corner of the single-point identifier.
Further, please refer to fig. 5, continue clicking the data identifier with the numerical value, continue enlarging and drilling the electronic map, and circulate through the steps until the map is enlarged to the maximum scale, if the same position has a plurality of data points, the data identifier with the numerical value is still used, at this time, the map cannot continue enlarging after clicking, and the icon does not scatter, click the data identifier to return to the data list, the data list includes the customer brief information, and continue clicking the list item to return the details of the data item, that is, the customer slightly detailed information.
In addition, when the mark of the scatter display is clicked, the mark is marked in red, and the details of the data item, namely the slightly detailed information of the client, are returned no matter the scale size of the browser page. It is further emphasized that the displayed identifiers of the scatter-and-dash displays are the same, for example, the customer data items are represented by portrait icons, and the representation of the customer data items is represented by portrait icons and numbers of data statistics displayed in the upper right corner of the portrait icons no matter how many pixel levels are drilled under the current scale level for aggregation under the district/county, street/town scale level.
In addition, according to the first case of the query data described in step 130, the second case of the query data can be clearly understood, that is, a certain hierarchy is directly selected, for example, client data in Shenzhen city can be directly input at the front end of the map for query, the server end responds, the electronic map displays a market scale, and the front end renders the aggregation effect of each "zone" according to the aggregation rule. Correspondingly, the identifier of the aggregated display is set at the position of each region by default, and the identifier of the aggregated display is displayed according to the style of "rectangular appearance + data item + statistics value of each region", for example: "Gu 3.5 ten thousand" in the south mountain area.
The invention provides a data labeling method and a system based on an electronic map, the method establishes an electronic map display model comprising N scale levels, N is a positive integer, and formulates data identification forms under different scale levels according to a preset aggregation rule, the preset aggregation rule comprises that as the scale increases, the data identification forms of all the scale levels transit from aggregation display to scattered point display and progress layer by layer, which is beneficial to a user to grasp the space distribution condition of business data from whole to local and from overview to detailed multi-aspect on the map, solves the problems of interface disorder, primary and secondary non-separation, heavy browser load and the like caused by simultaneous rendering of data points, and displays the query data according to the data identification form under the current scale level after receiving a query data display instruction, and the displayed identifications of the query data under the same data identification form are the same, the method is beneficial to ensuring the continuity and the conspicuity of data query, and greatly improves the user experience.
Fig. 6 is a schematic structural diagram illustrating an embodiment of the data annotation system based on an electronic map according to the present invention. As shown in fig. 6, the system 200 includes: a map building module 210, a data identification module 220, and a data display module 230.
in an optional manner, the map building module 210 is configured to build an electronic map display model including N scale levels, where N is a positive integer; the data identification module 220 is configured to formulate data identification forms at different scale levels according to a preset aggregation rule; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display; the data display module 230 is configured to display the query data according to a data identifier form at a current scale level after receiving a query data display instruction; and the identifiers displayed by the query data in the same data identifier form are the same.
In an alternative mode, referring to fig. 7, the map building module 210 includes a hierarchical dividing unit 2101, where the hierarchical dividing unit 2101 is configured to divide the N scale levels into a country scale level, a province scale level, a city scale level, a district/county scale level, and a street/township scale level in sequence from large to small according to a scale; the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a gathering mode, and the data identification forms under the district/county scale level and the street/township scale level are displayed in scattered points.
In an alternative approach, the aggregated display includes: and inquiring and displaying data under the current scale level, and performing data statistics according to the administrative division embodied by the next level scale level to obtain the data.
in an alternative approach, the scatter display includes: and inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value of a current page of the map to obtain the data.
For other details of the technical solution implemented by each module in the data annotation system based on the electronic map in the foregoing embodiment, reference may be made to the description in the data annotation method based on the electronic map in the foregoing embodiment, and details are not repeated here.
it should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system-class embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The embodiments of the present invention have been described in detail, but the present invention is only exemplary and is not limited to the embodiments described above. It will be apparent to those skilled in the art that any equivalent modifications or substitutions can be made within the scope of the present invention, and thus, equivalent changes and modifications, improvements, etc. made without departing from the spirit and scope of the present invention should be included in the scope of the present invention.
Claims (8)
1. A data annotation method based on an electronic map is characterized by comprising the following steps:
Establishing an electronic map display model comprising N proportional scale levels, wherein N is a positive integer;
According to a preset aggregation rule, making data identification forms under different scale levels; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display;
After receiving a query data display instruction, displaying the query data according to the data identification form under the current scale level; and the identifiers displayed by the query data in the same data identifier form are the same.
2. The data annotation method based on the electronic map as claimed in claim 1, wherein the N scale levels sequentially include a country scale level, a provincial scale level, a city scale level, a district/county scale level, and a street/township scale level from large to small; the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a gathering mode, and the data identification forms under the district/county scale level and the street/township scale level are displayed in scattered points.
3. The electronic map-based data annotation method of claim 2, wherein said aggregate display comprises:
and inquiring and displaying data under the current scale level, and performing data statistics according to the administrative division embodied by the next level scale level to obtain the data.
4. The electronic map-based data annotation method of claim 2, wherein said scatter display comprises:
And inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value of a current page of the map to obtain the data.
5. A data annotation system based on an electronic map, the system comprising:
The map building module is used for building an electronic map display model comprising N scale levels, wherein N is a positive integer;
The data identification module is used for formulating data identification forms under different scale levels according to a preset aggregation rule; the preset aggregation rule comprises that as the scale is increased, the hierarchical data identification form of each scale is transited from aggregation display to scattered point display;
the data display module is used for displaying the query data according to the data identification form under the current scale level after receiving a query data display instruction; and the identifiers displayed by the query data in the same data identifier form are the same.
6. the data annotation system based on the electronic map as claimed in claim 5, wherein said map building module comprises a hierarchy dividing unit, said hierarchy dividing unit is configured to divide said N scale levels into a country scale level, a provincial scale level, a city scale level, a district/county scale level, and a street/township scale level in sequence from large to small; the data identification forms under the national scale level, the provincial scale level and the city scale level are displayed in a gathering mode, and the data identification forms under the district/county scale level and the street/township scale level are displayed in scattered points.
7. The electronic map-based data annotation system of claim 6, wherein said aggregate display comprises:
And inquiring and displaying data under the current scale level, and performing data statistics according to the administrative division embodied by the next level scale level to obtain the data.
8. the electronic map-based data annotation system of claim 6, wherein said scatter display comprises:
And inquiring and displaying data under the current scale level, and performing data statistics according to a preset grid value of a current page of the map to obtain the data.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111859187A (en) * | 2020-06-30 | 2020-10-30 | 杭州欧若数网科技有限公司 | POI query method, device, equipment and medium based on distributed graph database |
CN112633980A (en) * | 2020-12-25 | 2021-04-09 | 环球车享汽车租赁有限公司 | Method, electronic device, and storage medium for vehicle website presentation |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103136232A (en) * | 2011-11-25 | 2013-06-05 | 北京中交兴路信息科技有限公司 | Method and device for displaying dynamic map |
CN105335393A (en) * | 2014-07-11 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Map display method and device |
CN106557567A (en) * | 2016-11-21 | 2017-04-05 | 中国农业银行股份有限公司 | A kind of data processing method and system |
CN109977179A (en) * | 2019-02-19 | 2019-07-05 | 中电海康集团有限公司 | A kind of poly- scattered method for visualizing of grid dividing realization magnanimity atural object mark point of layering |
-
2019
- 2019-07-30 CN CN201910694600.5A patent/CN110569292A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103136232A (en) * | 2011-11-25 | 2013-06-05 | 北京中交兴路信息科技有限公司 | Method and device for displaying dynamic map |
CN105335393A (en) * | 2014-07-11 | 2016-02-17 | 阿里巴巴集团控股有限公司 | Map display method and device |
CN106557567A (en) * | 2016-11-21 | 2017-04-05 | 中国农业银行股份有限公司 | A kind of data processing method and system |
CN109977179A (en) * | 2019-02-19 | 2019-07-05 | 中电海康集团有限公司 | A kind of poly- scattered method for visualizing of grid dividing realization magnanimity atural object mark point of layering |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111859187A (en) * | 2020-06-30 | 2020-10-30 | 杭州欧若数网科技有限公司 | POI query method, device, equipment and medium based on distributed graph database |
CN111859187B (en) * | 2020-06-30 | 2024-02-20 | 杭州欧若数网科技有限公司 | POI query method, device, equipment and medium based on distributed graph database |
CN112633980A (en) * | 2020-12-25 | 2021-04-09 | 环球车享汽车租赁有限公司 | Method, electronic device, and storage medium for vehicle website presentation |
CN112633980B (en) * | 2020-12-25 | 2021-11-02 | 环球车享汽车租赁有限公司 | Method, electronic device, and storage medium for vehicle website presentation |
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