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An atmospheric reanalysis (also: meteorological reanalysis and climate reanalysis) is a meteorological and climate data assimilation project which aims to assimilate historical atmospheric observational data spanning an extended period, using a single consistent assimilation (or "analysis") scheme throughout.
A climate spiral (sometimes referred to as a temperature spiral [3] [4]) is an animated data visualization graphic designed as a "simple and effective demonstration of the progression of global warming", especially for general audiences.
Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics. In the new millennium, data visualization has become an active area of research, teaching and development.
The initial concept of visualizing historical temperature data has been extended to involve animation, [10] to visualize sea level rise [11] and predictive climate data, [12] and to visually juxtapose temperature trends with other data such as atmospheric CO 2 concentration, [13] global glacier retreat, [14] precipitation, [4] progression of ...
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 ...
On 9 May 2016, Hawkins published his climate spiral data visualization graphic, [21] which was widely reported as having gone viral. [11] [22] [23] The climate spiral was widely praised, Jason Samenow writing in The Washington Post that the spiral graph was "the most compelling global warming visualization ever made". [24]
Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis.
In databases, brushing and linking is the connection of two or more views of the same data, such that a change to the representation in one view affects the representation in the other. [1] Brushing and linking is also an important technique in interactive visual analysis , a method for performing visual exploration and analysis of large ...