.png){kind=icon}
.png){kind=icon}
Return
Towards recommending visualizations for biodiversity data
.png){kind=icon}
PRE
AI
DOI：10.1007/s10531-016-1157-z.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
To address the critical challenges of biodiversity conservation and study its impact on the ecosystem, over the last decade, scientists have been producing a large amount of highly heterogeneous and distributed data. For managing, processing, and visualizing this data, requires informatics skills. While many biologists lack these skills, informaticians are limited in their understanding of biological domain requirements and the context of the data. The focus of our research study is to assist scientists with the suggestion of possible visualizations for exploring and understanding their data. To be useful, such suggestions need to be based on the visualization knowledge of domain experts. We intend to gather such knowledge and use in the development of a visualization recommendation framework serving the biodiversity research community. Therefore, the authors want to encourage readers to share their domain knowledge on the biodiversity data visualization usage by participating in an online survey.
Keywords:
Visualization selection problem
Data visualization
Biodiversity informatics
Eco-informatics
Journal
IF:
3.1
Papers:
5.9K
Citations:
1.4W