Visualization method for multivariable spatio-temporal data under polar region projection mode

Abstract

The invention provides a visualization method for multivariable spatio-temporal data under a polar region projection mode. The visualization method comprises the following steps of: obtaining an objective variable and geographic region data; drawing an objective variable visualization image according to the objective variable; drawing a geographic region background according to geographic region data; and displaying an effect image according to the objective variable visualization image and the geographic region background. According to the method of the embodiment of the invention, three polar region projection conversion methods from a two-dimensional orthogonal longitude and latitude space to a two-dimensional polar region projection space are realized, a uniform vector representation mode and a drawing method in the two-dimensional orthogonal longitude and latitude space and the two-dimensional polar region projection space are supported, and auxiliary positioning information of the geographic region background is provided, therefore, the problem that polar regions in the two-dimensional orthogonal longitude and latitude space are discontinuous is overcome for a user, and the distribution situations of variables in polar regions can be observed and compared efficiently and interactively in real time.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a visualization method for multivariate spatio-temporal data in a polar projection mode. Background technique [0002] The Earth System Model is an important tool for studying global climate change. By dividing the Earth’s surface into grids at certain intervals in the two-dimensional orthogonal latitude and longitude space in the horizontal direction, the earth’s layers (mainly the atmosphere) are divided in the vertical direction. , ocean, sea ice, and land surface) are layered according to different height intervals, and then the numerical simulation dynamic framework and parameterization scheme of different circles are constructed and programmed, and then the numerical simulation is performed on a high-performance computer. Since the shapes of the South and North Pole regions change greatly in the two-dimensional latitude and longitude space and cannot maintain continuity a...

AI Technical Summary

Problems solved by technology

Since the shapes of the South and North Pole regions change greatly in the two-dimensional latitude and longitude space and cannot maintain continuity and integrity, it is not effective to directly visualize the physical quantities of sea ice or atmospheric motion in the polar regions simulated by the model in the two-dimensional longitude and latitude space. Observing and analyzing the distribution of variables over polar regions

[0003] At present, there are a large number of methods and systems that can support the visualization of multivariate spatiotemporal data in two-dimensional orthogonal latitude and longitude space, but in the polar projection mode, efficient, real-time, interactive visualization methods are still rare

Traditional geoscience visualization tools that support two-dimensional display space, such as NCL and GrADS, do not support parallel control, and can only be controlled through scripts, and cannot directly interact in the display window

Interactive software systems that support large-scale data visualization, such as VisIt and Paraview, transform the two-dimensional longitude and latitude coordinate space into the three-dimensional spherical coordinate space, and then use the method of transforming the orthographic projection into the polar projection space, although the continuity and stability of the polar region are guaranteed. Integrity, but the transformation process has a large amount of calculation, real-time and interactive performance are far from enough, and the supported projection methods are relatively limited

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