FUSION
FUnctionality Sharing In Open eNvironments
Heinz Nixdorf Chair for Distributed Information Systems
 

Towards recommending visualizations for biodiversity data

Title: Towards recommending visualizations for biodiversity data
Authors: Pawandeep Kaur, Jitendra Gaikwad, Birgitta König-Ries
Source: Biodiversity and Conservation
Date: 2016-06-09
Type: Journal Paper
Abstract:

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.

URL: http://link.springer.com/article/10.1007/s10531-016-1157-z
BibTex:
@Article{Kaur2016,
author="Kaur, Pawandeep
and Gaikwad, Jitendra
and K{\"o}nig-Ries, Birgitta",
title="Towards recommending visualizations for biodiversity data",
journal="Biodiversity and Conservation",
year="2016",
pages="1--3",
abstract="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.",
issn="1572-9710",
doi="10.1007/s10531-016-1157-z",
url="http://dx.doi.org/10.1007/s10531-016-1157-z"
}