Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 822-827 |
| Number of pages | 6 |
| Journal | Environmental Modelling and Software |
| Volume | 26 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2011 |
| Externally published | Yes |
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Keywords
- Data visualization
- Scientific visualization
- Visual analytics
ASJC Scopus subject areas
- Ecological Modeling
- Environmental Engineering
- Software
Cite this
Ten guidelines for effective data visualization in scientific publications. / Kelleher, Christa; Wagener, Thorsten.
In: Environmental Modelling and Software, Vol. 26, No. 6, 06.2011, p. 822-827.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Ten guidelines for effective data visualization in scientific publications
AU - Kelleher, Christa
AU - Wagener, Thorsten
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
UR - http://www.scopus.com/inward/record.url?scp=79951721304&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951721304&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2010.12.006
DO - 10.1016/j.envsoft.2010.12.006
M3 - Article
VL - 26
SP - 822
EP - 827
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
SN - 1364-8152
IS - 6
ER -