The Colombian Journal of Statistics invites researchers to submit scientific papers for the Special Issue in Current Topics in Statistical Graphics. This special issue has the purpose of bringing together current advances and uses of well-known and novel graphical methods from different research areas so that the reader finds potential applications to his/her own research field. The present special issue aims at adding an extra value to the special issues published in the RCE by publishing in English language all manuscripts accepted.

Graphical statistical methods are ubiquitous in scientific research carried out in several fields. For example, in meteorology, wind boxplots are used to depict distributions of wind speed and directional data, and, in computational biology, dendograms are used to display arrangements of clusters found by hierarchical clustering methods. As it occurs with statistical tests, specific scientific areas borrow statistical graphics from other scientific areas. For example, similar to ANOVA test being used in different research areas, boxplots are used in different research areas as well. Additionally, graphical statistics are not only used to represent/explore data, but they are also used, among other things, to test assumptions, select estimators, and detect outliers. Thus, statistical graphics are tools capable of exploring the content of data, finding structure in data, checking assumptions in statistical models, and communicating the results of analyses. Given new developments in methods for the visualisation of quantitative and categorical data, it is then necessary to be aware of the latest advances in order to probe potential cross-field implementations or further the capabilities of the graphical methods.

For this special issue, manuscripts dealing with methods or applications in graphical statistics supported by computer simulations will be particularly welcomed. It is expected that manuscripts introduce the featured graphical method in a concise manner (this can be seen as a compact up-to-date literature review that sets the background of the study), report its mathematical statistics properties, display its visual appearance, state the purpose (and hypotheses, if needed) of the study, report the method used in the simulations, report the results of the simulations, and discuss implications and future challenges. Computer codes (e. g., MATLAB, R, etc.) used to generate the results can be added as an appendix if deemed necessary by the authors.

If you are interested in submitting a paper, please contact the guest editor via e-mail (fernando.marmolejoramos@adelaide.edu.au), and visit our website for more information on the format (www.estadistica.unal.edu.co/revista). We welcome applications to problems in engineering, manufacturing, process/chemical industry, physical sciences, social sciences, and agricultural industries. The mathematical level of the papers may range from basic, to that of the Journal of Quality Technology or Technometrics.

Please follow the standard submission format of the Colombian Journal of Statistics (www.estadistica.unal.edu.co/publicaciones/estadistica/rce/autores.html). On the subject of the email please make sure you distinguish your submission for this special issue by writing your last name and “special issue” (i.e. Smith_special issue). Papers will be doubly blinded refereed, and will be selected based on subject matter, technical correctness, usefulness, interest, clarity, and readability.

Prior to the submission of a full-paper, please send the following template to the guest editor in order to have a broad idea of the topic and suitability of your contribution. Also, in this template, you can indicate some suggested reviewers.