Article

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Title

Tools for visualization of time series in space research

Author

V.S. Maraev

Organization

Siberian Federal University
Krasnoyarsk, Russian Federation

Abstract

Time series analysis is a key step in building a prediction model. That is why it is very important to consider the data from the various parties, because the analysis helps to identify the various features and options under consideration of the time series. This is especially important when analyzing the data of space research, as often, their analysis does not lead to a fairly clear pattern. Therefore, data visualization is a powerful tool in this stage of the prediction model. Very often, for the visualization of time series in space research, only linear graphs are used that can’t represent the entire specifics of the series, so it is worthwhile to consider other methods and tools for visualizing space research data. This article analyzes the materials for time series visualization tools. The main visualization tools are considered, such as histograms, distribution density charts, box-and-whisker plots, heat maps, scatter and autocorrelation plots. These tools are demonstrated on examples of data obtained from space research. The advantages and disadvantages of various time series visualization tools in space research are revealed. The recommendations on the expediency of using these visualization tools in various situations are outlined. The corresponding conclusions are drawn on the basis of the conducted studies on the analysis of time series visualization tools in space research.

Keywords

visualization, time series, space research, histogram, box and whisker plots, heat map, autocorrelation plots

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For citing this article

Maraev V.S. Tools for visualization of time series in space research // The Research of the Science City, 2017, vol. 1, no. 4, pp. 200-207. doi: 10.26732/2225-9449-2017-4-200-207

This Article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).