Spatial Economic computing visualization

Spatial Economic computing visualization

 

 

 

Visualization is a theory, method, and technology that uses computer graphics and image processing technology to convert data into graphs or images displayed on the screen and perform interactive processing. It involves many fields such as computer graphics, image processing, computer vision, and computer-aided design. It has become a comprehensive technology that studies a series of problems such as data representation, data processing, and decision analysis. Visualization Technology was first used in computing science and formed an important branch of visualization technology-scientific computing visualization (Visualization in scientific computing ). Scientific computing visualization enables scientific data, including the measured value, image, or the digital information involved in the computation, which becomes intuitive, represented in graphic image information, physical phenomena or physical quantities that change with time and space present in the investigator front, enables them to observe, simulate, and compute.

The visualization of Spatial Economic computing is a specific application of the existing computer visualization technology. It relies on economic data and emphasizes the spatial cognition and computing analysis of economic behavior, this article explores the laws reflected by Spatial Economic Information, which is the real purpose of Spatial Economic computing visualization.

The visualization of Spatial Economic computing here mainly refers to the visualization of Spatial Economic computing processes and computing results.

Visualization of Spatial Economic computing and its results is an important technology in visualization. It is widely used in most industries involving the national economy. It uses a powerful and effective visualization system to display the complex spatial location and attribute information contained in Economic elements in the form of spatial visualization, so as to explore and analyze the associations and development trends between economic elements, understand market dynamics, discover business opportunities, and make timely and correct judgments and decisions. It can be considered that the spatial economics with visualization means is the economics in the digital age and is one of the development trends of the future economics.

Spatial Economic information plays a very important role in human economic activities and production practices. The spatial information presented in a visual manner greatly promotes people's cognition and perception of the surrounding space. The topic chart is the earliest visualization method of Spatial Economic data. It plays an important role in various production and social practices. With the development of computer technology, thematic maps are gradually replaced by geographic information systems (GIS) to a certain extent, and the expression of Spatial Economic Information is transformed into a visualization problem in GIS to a certain extent. Visualization is a very important function of GIS, which is evolving along with the evolution of GIS technology.

The visualization of Spatial Economic computing is rich. The main manifestation and related applications can be summarized as follows:
(1) Two-Dimensional Image Learning Method
In the general sense of Spatial Economic computing, the visualization method is the two-dimensional graphic image learning method. It mainly refers to the digital implementation of traditional cartography and cartography visualization methods. However, on the basis of digitization, because computers can process Spatial Economic Information flexibly and conveniently, they can greatly enrich the visualization methods of traditional cartography. For example, to meet the needs of Spatial Economic computing, dynamic maps can be created; to meet the needs of specialized industries, thematic maps can be created to highlight industry information; to meet specific tasks, real-time thematic maps can be created by combining computing and analysis functions.
The visualization method of two-dimensional graphics and images is currently the mainstream method of Spatial Economic computing visualization. Because two-dimensional visualization contains a small amount of data and adopts mature visualization theory methods, it has broad development prospects in the space economy computing field.

(2) 3D image Learning Method
From the perspective of normal cognition, the real world is a three-dimensional space. It is more intuitive and realistic to use computers to create a three-dimensional model for a real world table, because 3D expressions are no longer symbolic, instead, it focuses on the simulation of the real world.
The representation and means of 3D space vary greatly with the application requirements. Most of the commonly used 3D electronic maps directly use the spatial data of the existing two-dimensional space database. By adding a small amount of spatial information, the main entity tables in the real environment can be achieved with simple ry, form a three-dimensional map with a certain degree of intuition. If texture images are attached to these geometric shapes, a 3D map with a certain degree of fidelity will be formed. Currently, digital photography can be used to conveniently and quickly build a three-dimensional electronic map of the entire city.
In recent years, the research of 3D Geographic Information System (3 DGIS) has developed rapidly in the field of spatial economics. The representative research direction is the familiar digital city model, there have been a series of representative achievements in this field at home and abroad, and they have been widely used in the simulation of urban residential buildings, urban development planning and design.

(3) 3D expression and virtual reality technology
The ideal visualization of spatial information is a true view of the real world. With the development of VR technology, this ideal has become a reality. In order to further improve human-computer interaction, advanced computer visualization technology and virtual reality technology have been introduced into the field of geographic information systems, and research on the combination of virtual reality technology (VR) and GIS has long been started.
At present, people have initially achieved real simulation of the space environment, this simulation can better reproduce the real landscape. In addition, in the commercial field, animation and film production are widely known, and the visualization of natural landscape simulation has reached an excellent level. In addition, it is widely used in urban planning, environment, and data visualization.

 

(4) Visualization of Time and Space
In the field of spatial information, another issue that people are very concerned about is multidimensional dynamic visualization, that is, time-dominated information visualization. At present, due to the lack of effective descriptive models, on the other hand, with the increase of time dimension, the amount of information rapidly increases, and the existing computer technology is difficult to process and manage. Therefore, research on space-time visualization remains to be done in depth. However, space-time visualization will be an attractive direction for the development of spatial information visualization. The realization of space-time visualization will provide dynamic simulation of changes to natural and geographical phenomena, including historical backtracking and future prediction, it will fundamentally change the theoretical system of the existing Geographic Information System.
Different computing visualization methods have different visualization effects, but in general, the theory and technology of computer economy computing visualization have a great impact on the display and analysis of spatial information, it plays an irreplaceable role in understanding various spatial economic phenomena, accelerating economic information processing, and finding economic patterns. Its application will gradually penetrate into various fields of economic research with the continuous improvement of theories and technologies.