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Scientific visualization is an interdisciplinary branch of science concerned with the visualization of scientific phenomena. It is also considered a subset of computer graphics, a branch of computer science. The purpose of scientific visualization is to graphically illustrate scientific data to enable scientists to understand, illustrate, and glean insight from their data. Research into how people read and misread various types of visualizations is helping to determine what types and features of visualizations are most understandable and effective in conveying information.
Visualization, also known as Graphics Visualization, is any technique for creating images, diagrams, or animations to communicate a message. Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity. from history include cave paintings, Egyptian hieroglyphs, Greek geometry, and Leonardo da Vinci's revolutionary methods of technical drawing for engineering purposes that actively involve scientific requirements.
Geographic information science or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed. It is a sub-field of geography, specifically part of technical geography. It has applications to both physical geography and human geography, although its techniques can be applied to many other fields of study as well as many different industries.
Geovisualization or geovisualisation, also known as cartographic visualization, refers to a set of tools and techniques supporting the analysis of geospatial data through the use of interactive visualization.
Data and information visualization is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items. Typically based on data and information collected from a certain domain of expertise, these visualizations are intended for a broader audience to help them visually explore and discover, quickly understand, interpret and gain important insights into otherwise difficult-to-identify structures, relationships, correlations, local and global patterns, trends, variations, constancy, clusters, outliers and unusual groupings within data. When intended for the general public to convey a concise version of known, specific information in a clear and engaging manner, it is typically called information graphics.
Time geography or time-space geography is an evolving transdisciplinary perspective on spatial and temporal processes and events such as social interaction, ecological interaction, social and environmental change, and biographies of individuals. Time geography "is not a subject area per se", but rather an integrative ontological framework and visual language in which space and time are basic dimensions of analysis of dynamic processes. Time geography was originally developed by human geographers, but today it is applied in multiple fields related to transportation, regional planning, geography, anthropology, time-use research, ecology, environmental science, and public health. According to Swedish geographer Bo Lenntorp: "It is a basic approach, and every researcher can connect it to theoretical considerations in her or his own way."
Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed. Each dataset consists of eleven (x, y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data when analyzing it, and the effect of outliers and other influential observations on statistical properties. He described the article as being intended to counter the impression among statisticians that "numerical calculations are exact, but graphs are rough".
Visual analytics is a multidisciplinary science and technology field that emerged from information visualization and scientific visualization. It focuses on how analytical reasoning can be facilitated by interactive visual interfaces.
Lawrence Jay Rosenblum is an American mathematician, and Program Director for Graphics and Visualization at the National Science Foundation.
Behara Seshadri Daya Sagar also known as B. S. Daya Sagar is an Indian mathematical geoscientist specializing in mathematical morphology. He is a professor of computer science at the Indian Statistical Institute, Bangalore. He is known as a specialist in mathematical morphology, fractal geometry. chaos theory, and their applications in geophysics, geographical information science, and computational geography. The Indian Geophysical Union awarded him the Krishnan Medal in 2002. He is the first Asian to receive the Georges Matheron Lectureship in 2011. In 2018, he received the IAMG Certificate of Appreciation by the International Association for Mathematical Geosciences for his work on the Handbook of Mathematical Geosciences. In 2020, Sagar was selected as an IEEE Distinguished Lecturer (DL) to represent the IEEE Geoscience and Remote Sensing Society. He, with Frits Agterberg, Qiuming Cheng, and Jennifer McKinley, led the monumental project on the Encyclopedia of Mathematical Geosciences to the completion. The first edition of two-volume 1756-page Encyclopedia of Mathematical Geosciences was published on 21 June 2023 by Springer International Publishers.
Visual computing is a generic term for all computer science disciplines dealing with the 3D modeling of graphical requirements, for which extenuates to all disciplines of the Computational Sciences. While this is directly relevant to the software visualistics of Microservices, Visual Computing also includes the specializations of the subfields that are called Computer Graphics, Image Processing, Visualization, Computer Vision, Computational Imaging, Augmented Reality, and Video Processing, upon which extenuates into Design Computation. Visual computing also includes aspects of Pattern Recognition, Human-Computer Interaction, Machine Learning, Robotics, Computer Simulation, Steganography, Security Visualization, Spatial Analysis, Computational Visualistics, and Computational Creativity. The core challenges are the acquisition, processing, analysis and rendering of visual information. Application areas include industrial quality control, medical image processing and visualization, surveying, multimedia systems, virtual heritage, special effects in movies and television, and ultimately computer games, which is central towards the visual models of User Experience Design. Conclusively, this includes the extenuations of large language models (LLM) that are in Generative Artificial Intelligence for developing research around the simulations of scientific instruments in the Computational Sciences. This is especially the case with the research simulations that are between Embodied Agents and Generative Artificial Intelligence that is designed for Visual Computation. Therefore, this field also extenuates into the diversity of scientific requirements that are addressed through the visualized technologies of interconnected research in the Computational Sciences.
Tamara Macushla Munzner is an American-Canadian scientist. She is an expert in information visualization who works as a professor of computer science at the University of British Columbia (UBC).
Claudio Silva is a Brazilian American computer scientist and data scientist. He is a professor of computer science and engineering at the New York University Tandon School of Engineering, the head of disciplines at the NYU Center for Urban Science and Progress (CUSP) and affiliate faculty member at NYU's Courant Institute of Mathematical Sciences. He co-developed the open-source data-exploration system VisTrails with his wife Juliana Freire and many other collaborators. He is a former chair of the executive committee for the IEEE Computer Society Technical Committee on Visualization and Graphics.
Catherine Plaisant is a French/American Research Scientist Emerita at the University of Maryland, College Park and assistant director of research of the University of Maryland Human–Computer Interaction Lab.
Silvia Miksch is an Austrian computer scientist working in information visualization, particularly for time-oriented and medical data. She is head of the Centre for Visual Analytics Science and Technology at TU Wien.
Heidrun Schumann is a German computer scientist specializing in data visualization. She is a professor emerita in the Institute for Computer Science of the University of Rostock.
Johann Wolfgang Koch is a German physicist and computer scientist. He teaches applied computer science at the University of Bonn, Germany, and is chief scientist of the Fraunhofer Institute for Communication, Information Processing and Ergonomics. In 2011, Koch was elected a IEEE Fellow and since 2015, he has been an IEEE Distinguished Lecturer.
Shixia Liu is a Chinese computer scientist whose research involves information visualization, visual methods in text mining, and the use of visual analytics in explainable artificial intelligence. She is a professor in the Tsinghua University School of Software.
Hans-Christian Hege is a German physicist and computer scientist who has done fundamental work in the field of data visualization.
Tatiana von Landesberger is a Slovak-German computer scientist who works as professor and chair for visualization and visual analytics at the University of Cologne. Her research concerns information visualization, graph drawing, and visual analytics.
References
- 1 2 3 Author biography from Geospatial Visualisation, Lecture Notes in Geoinformation and Cartography, Springer Berlin Heidelberg, 2013, p. 261, doi:10.1007/978-3-642-12289-7, ISBN 9783642122897
- 1 2 Professor Natalia Andrienko, City, University of London, retrieved 2024-01-08
- ↑ Voss, Hans (October 1996), "IRIS generates Thematic Maps", ERCIM News, vol. 27, European Research Consortium for Informatics and Mathematics, retrieved 2024-01-08
- ↑ Prof. Dr. Natalia Andrienko, Lamarr Institute for Machine Learning and Artificial Intelligence, retrieved 2024-01-08
- ↑ Review of Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach: Jochen L. Leidner, ACM Computing Reviews,
- ↑ Review of Towards a European Forest Information System: Mark Lawrence, The International Forestry Review, JSTOR 43739771
- ↑ Review of Visual Analytics of Movement: Atsushi Nara, Annals of GIS, doi:10.1080/19475683.2015.992828
- ↑ Review of Visual Analytics for Data Scientists: Sarah Battersby, International Journal of Cartography, doi:10.1080/23729333.2021.2015566
- ↑ "The IEEE VGTC Visualization Academy", Visualization and Graphics Technical Committee, IEEE Computer Society, retrieved 2024-01-08
