A fast map representation method and system based on multi-layer storage of point vector data
A multi-layer storage, point-vector technology, applied in electrical digital data processing, structured data retrieval, geographic information databases, etc., can solve problems such as inefficiency, topological analysis and computing efficiency bottlenecks, etc., to achieve beautiful and reduce data transmission. volume, and the effect of improving performance
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0044] Such as figure 1 As shown, a fast map representation method based on point vector data multi-layer storage, including the following steps,
[0045] Step 1, collect the point vector data, and store the point vector data in the data table on the data server side. Store the point vector data in a spatial data table VP_Base on the data server side; the field of the data table VP_Base has some position information (x_pos, y_pos) and attribute fields of each business requirement, and the data in this table is already available through investigation or other means The data. Assume that the attribute fields of the data table VP_Base stored on the server side according to the business in an application are as follows:
[0046]
[0047] In this table, the business attribute fields include "PeopleNumber" (population), "GDP" (per capita domestic income) and a series of other attribute fields, with a total of 41636 records. According to the application requirements, the vector...
Embodiment 2
[0079] A large enterprise has business all over the country. The company headquarters needs a thematic map application, so that the company's executives can easily grasp the operation status of stores across the country, and ordinary consumers can also easily understand the distribution and location of branches in various places through the thematic map. consumption. The company has collected information on branches distributed across the country. According to business needs, we sort out the spatial data table VM_Base (2012 data) corresponding to the vector data of this point. The table data is as follows:
[0080]
[0081] In this table, there are many attribute fields, and the irrelevant attribute fields are replaced by "other attributes" for this map; the data table has 8132 records. In this application, the two attributes of "annual net profit" and "average price" need to be applied to thematic maps respectively. Therefore, all attribute fields that need to be stored hi...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 