Call for papers
Thematic Issue on “Advances in Theories, Data Management, Data Mining and Data Visualization to Support Big Data in the Environmental Sciences”
in Environmental Modelling & Software
Issue Editors: Amin Tayyebi, Keith C. Clarke, Bryan C. Pijanowski and Patrick Jantz
EMS Editor: Dan Ames
Submissions are invited for papers which address cutting-edge and innovative approaches, particularly regarding new tools, software or demonstrations of efficient techniques in practical cases to deal with specific types of big data in environmental sciences that cannot be addressed using conventional techniques. The following broader topics that provide cutting-edge and innovative approaches for using GIScience, remote sensing and technology to support big data in the environmental sciences may be covered:
- Advances in theories.
- Data management.
- Data mining.
- Data visualization.
The thematic issue is open to submissions from a global audience in science and research and we would explicitly invite contributions of papers on relevant topics presented at the iEMSs 2014, 2015 and 2016 conference. This call is interested in papers that can summarize new challenges of big data that are required to be addressed in near future by the environmental sciences. Full papers will be selected based on how strongly the work to the big data themes outlined above.
- 30 May 2017: Deadline for initial submission of the full papers
- 30 June 2017: Review of the full papers by Guest Editors and send notification to authors that full paper consider for review or not
- 30 September 2017: Reviews returned to authors
- 30 November 2017: Revised submission
- 30 February 2018: Second review of the manuscripts
- 30 April 2018: Final submission
- 30 June 2018: Final decision on manuscripts
- 30 August 2018: Expected publication of the thematic issue