Geospatial Modelling and Visualization
Big Earth Data Special Issue Call for Papers
Deadline: 31 March 2019
Big geospatial data sets are available in various forms; and contain significant amount of useful information that need to be detected, retrieved, visualized, and processed. Recent advancements in big data and machine learning open new doors to such problems that deal with big geospatial datasets. At the Big Earth Data, we have considered a special issue, “Geospatial Modeling and Visualization”, to particularly target the recent research performed on analysis, modeling, visualization, and representation of geospatial datasets. The Big Earth Data is jointly published by the International Society for Digital Earth, Taylor & Francis Group and other partners as a sister journal of the International Journal of Digital Earth.
The editorial team of the Big Earth Data invites full-length paper submissions of original research and recent studies focusing on geospatial modeling and visualization. Topics include but not limited to:
- Machine learning for geospatial datasets
- Geospatial object detection and recognition
- Geospatial data analysis
- Geospatial data structures and indexing methods
- Geospatial data visualization
- Geospatial data understanding and interaction
- Content creation for geospatial systems
- Discrete Global Grid Systems
- Rendering and visualization of large geospatial data sets
Accepted papers are peer-reviewed and published in a special issue of the Big Earth Data.
March 31, 2019 Paper submission online
May 15, 2019 Decision to Authors
June 15, 2019 Revised Paper Submission
Summer/Fall 2019 Publication
Manuscript Submission Information
Please visit the Instructions for Authors page before submitting a manuscript. When the manuscript is well prepared, please submit through Editorial Manager System and choose the right Special Issue. All APCs will be waived for invited manuscripts submitted to the Big Earth Data. If you need further assistance regarding on this matter, please contact the Editorial Office at the email address <TBEDemail@example.com>.