TY - JOUR
T1 - Ten guidelines for effective data visualization in scientific publications
AU - Kelleher, Christa
AU - Wagener, Thorsten
N1 - Funding Information:
Support for this research was provided by an EPA STAR Early Career Award (R834196) to Thorsten Wagener and an EPA STAR Graduate Fellowship to Christa Kelleher. The authors would like to thank Joe Kasprzyk, Keith Sawicz, and Riddhi Singh for help with manuscript revisions and Kevin McGuire for literature suggestions. The authors would also like to acknowledge the comments of Lucy Marshall, Felix Andrews, and a third anonymous reviewer that assisted manuscript expansion and improvement.
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/6
Y1 - 2011/6
N2 - Our ability to visualize scientific data has evolved significantly over the last 40 years. However, this advancement does not necessarily alleviate many common pitfalls in visualization for scientific journals, which can inhibit the ability of readers to effectively understand the information presented. To address this issue within the context of visualizing environmental data, we list ten guidelines for effective data visualization in scientific publications. These guidelines support the primary objective of data visualization, i.e. to effectively convey information. We believe that this small set of guidelines based on a review of key visualization literature can help researchers improve the communication of their results using effective visualization. Enhancement of environmental data visualization will further improve research presentation and communication within and across disciplines.
AB - Our ability to visualize scientific data has evolved significantly over the last 40 years. However, this advancement does not necessarily alleviate many common pitfalls in visualization for scientific journals, which can inhibit the ability of readers to effectively understand the information presented. To address this issue within the context of visualizing environmental data, we list ten guidelines for effective data visualization in scientific publications. These guidelines support the primary objective of data visualization, i.e. to effectively convey information. We believe that this small set of guidelines based on a review of key visualization literature can help researchers improve the communication of their results using effective visualization. Enhancement of environmental data visualization will further improve research presentation and communication within and across disciplines.
KW - Data visualization
KW - Scientific visualization
KW - Visual analytics
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U2 - 10.1016/j.envsoft.2010.12.006
DO - 10.1016/j.envsoft.2010.12.006
M3 - Article
AN - SCOPUS:79951721304
VL - 26
SP - 822
EP - 827
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
IS - 6
ER -