3d environmental visualization importance
Manovich ( 2010) defines it as “a transformation of quantified data which is not visual into a visual representation” (p. Card, Mackinlay, and Schneiderman ( 1999) define data visualization as “the use of computer-supported, interactive, visual representations of data to amplify cognition” (p. Most definitions focus on the connection between data and computer technology in order to transform data into a visual or sonic form. The term “data visualization” can be defined in several ways. For this research, it is necessary to initially define the concept of data visualization in order to explore and identify the key forms and characteristics for designing a theoretical framework for Taoist data visualization, which will be discussed in Chap. This statement emphasizes that data visualization as scientific research relies on computing technology and its utilization for the process of information. (Post, Nielson, & Bonneau, 2003, back cover) A second premise is the utilization of the broad bandwidth processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. The importance of data visualization is described as follows: The development of computing technology facilitates data visualization, identifying useful information or deriving insights from the graphical images. 3) suggest that data visualization assists in the constructing of hypotheses.ĭata visualization often results in graphical images of data or concepts, which assists making decisions (Ware, 2012). In this regard, Gray, Mayer, and Hughes (cited in Ware, 2012, p. The fourth is that it enhances the understanding of large-scale and small-scale data. The third advantage is that it can be used for product quality control where the immediate identification of problems is made possible through the data analysis. patterns) in the data immediately for formulating new insights. Secondly, it enables viewers to identify emergent properties (e.g. To begin with, it has the ability to represent a vast amount of data immediately. Traditional data visualization has a number of advantages. In this book, data visualization that focuses on the communication for understanding data rather than any other approaches is considered as traditional data visualization.
#3d environmental visualization importance software#
In particular, the development of computer software has advanced the application of data visualization, allowing users to manipulate a substantial amount of data for exploration and analysis in an easier and more affordable way. The technology of data visualization has evolved from using hand drawing in the earliest stages, to “photo-etching”, to using computer technology, such as computing graphics and software (Friendly, 2009). As an emerging field, it is considered a sub-classification of visualization and is regarded as “the science of visual representation of ‘data’” (Friendly, 2009, p. Data visualization is usually associated with the field of computer science in the contemporary society. Data visualization has become an important part of research in many fields including algorithms, human perception, animation, computer vision and so on. Data analyst has become quicker and more accuracy using computer graphical data visualization. The invention of computer technology makes the huge change on the way of visual representation of data. Data visualization has significantly contributed to invention and discovery throughout human history (Crapo, Waisel, Wallace, & Willemain, 2000). At the ancient society, drawings and other visual representations were used to investigate the world and also to record the historical events. The term “data visualization” has a long history dated back the 2nd century AD.