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In-situ visualization method for trajectory data based on stream data cube

A trajectory data and cube technology, applied in the field of data visualization, can solve the problems that the data structure cannot be changed, and irregular space query is not supported.

Inactive Publication Date: 2015-12-23
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

[0008] The purpose of the invention is to overcome the disadvantages that the trajectory data processing method in the prior art does not support irregular space query and the data structure cannot be changed, and provides a method that can quickly process the continuously generated trajectory data and utilize the data cube In situ visualization method of trajectory data based on flow data cube for real-time generation of data aggregation structure for data visualization display

Method used

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  • In-situ visualization method for trajectory data based on stream data cube
  • In-situ visualization method for trajectory data based on stream data cube
  • In-situ visualization method for trajectory data based on stream data cube

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0054] Such as Figure 11 The illustrated embodiment is an in-situ visualization method for trajectory data based on a flow data cube. The map range involved in this embodiment is 120.4387 east longitude - 120.8953 east longitude, 27.8676 north latitude - 28.131 north latitude.

[0055] Step 100, obtain the hybrid map structure

[0056] Step 110, the computer uses the quadtree to establish on the map such as figure 2 The space tree (quadtree) with a depth of 10 shown in the figure has a total of 816*450=367200 nodes on the 10th layer. For the minimum granularity grid (cell), the longitude interval lon=(120.8953-120.4387) of each cell can be obtained ) / 816, latitude interval lat=(28.131-27.8676) / 450, give each cell a unique number as the cell identifier cellID, and use the coordinates of the upper left corner of the cell as the location infor...

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Abstract

The present invention discloses an in-situ visualization method for trajectory data based on a stream data cube, and defines a data structure suitable for stream data. For a certain quantity of arrival trajectory data streams, processing and update of data can be completed in a very short period of time, thereby implementing real-time processing of data. In addition to the use of conventional grid division, an administrative region division method with more practical significance is introduced. The administrative region division method allows a query processing result generated from the visualization method provided by the present invention to have more practical value. The method disclosed by the present invention has the features of short data processing time and quick data update.

Description

technical field [0001] The present invention relates to the technical field of data visualization, in particular to an in-situ visualization of trajectory data based on stream data cubes that can rapidly process continuously generated trajectory data and use data cubes to generate data aggregation structures for data visualization in real time method. Background technique [0002] Trajectory data refers to the data information obtained by sampling the motion attribute information of one or more moving objects in the space-time environment, including object position, sampling time, motion speed, etc. These information constitute the trajectory data sequence according to the order of sampling. [0003] With the development of satellites, wireless networks, and positioning equipment, the amount of trajectory data that can be obtained is increasing rapidly, such as traffic trajectory data, animal migration data, climate airflow data, and personnel movement data. Through the stu...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2246G06F16/248
Inventor 孔丁科沈逸文费家祺何璐琳陈婉莹王勋
Owner ZHEJIANG GONGSHANG UNIVERSITY
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