Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
Computational/informatics elements may include: computational methods; algorithms; data models; database retrieval; information retrieval; near and remote sensing data analysis; data processing; artificial intelligence; computer graphics; computer visualization; programming languages; parallel systems; distributed systems; the World-Wide Web; social media; ontologies; and software engineering.
Geoscientific topics of interest include: mineralogy; petrology; geochemistry; geomorphology; paleontology; stratigraphy; structural geology; sedimentology; hydrology; hydrogeology; oceanography; atmospheric sciences; climatology; meteorology; geophysics; geomatics; seismology; geodesy; paleogeography; environmental science; soil science; glaciology.
Other fields may be considered but are not regarded as a priority.
Computers & Geosciences does not consider:
Geoscience manuscripts that do not contain a significant computer science innovation. Pure methodological developments (e.g. geophysics, hydrology) are not considered. Pure analytical developments are not considered, unless they have significant implications on computational geoscientific problems.
Computer science manuscripts with no clear application to the geosciences (as defined above).
Manuscripts aiming at solving a geoscientific engineering problem rather than answering a scientific question
Standard code of already well-established, or previously published methods
Graphical User Interfaces (GUIs), unless they provide an original solution to a non-trivial input-handling problem.
Manuscripts that use GIS tools in standard ways
Code and Data: Computers & Geosciences aims to publish code and supporting data from accepted manuscripts using state-of-the-art technologies. Code should be original and demonstrate a development in research. It should also have clear design and be reproducible, reusable, extensible and maintainable. Manuscripts presenting code, software or implementation of described algorithms need to include a link to a repository where the code can be downloaded. In such cases the open source license should be clearly indicated in submitted manuscripts. Manuscripts that describe code that is not open source are desk rejected. The journal editors offer to fork source code or data repositories that accompany published papers on GitHub https://github.com/CAGEO, to help the community find the author's original repository.
Editors-in-Chief: Dario Grana, Derek Karssenberg, Gregoire Mariethoz
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Computational/informatics elements may include: computational methods; algorithms; data models; database retrieval; information retrieval; near and remote sensing data analysis; data processing; artificial intelligence; computer graphics; computer visualization; programming languages; parallel systems; distributed systems; the World-Wide Web; social media; ontologies; and software engineering.
Geoscientific topics of interest include: mineralogy; petrology; geochemistry; geomorphology; paleontology; stratigraphy; structural geology; sedimentology; hydrology; hydrogeology; oceanography; atmospheric sciences; climatology; meteorology; geophysics; geomatics; seismology; geodesy; paleogeography; environmental science; soil science; glaciology.
Other fields may be considered but are not regarded as a priority.
Computers & Geosciences does not consider:
Geoscience manuscripts that do not contain a significant computer science innovation. Pure methodological developments (e.g. geophysics, hydrology) are not considered. Pure analytical developments are not considered, unless they have significant implications on computational geoscientific problems.
Computer science manuscripts with no clear application to the geosciences (as defined above).
Manuscripts aiming at solving a geoscientific engineering problem rather than answering a scientific question
Standard code of already well-established, or previously published methods
Graphical User Interfaces (GUIs), unless they provide an original solution to a non-trivial input-handling problem.
Manuscripts that use GIS tools in standard ways
Code and Data: Computers & Geosciences aims to publish code and supporting data from accepted manuscripts using state-of-the-art technologies. Code should be original and demonstrate a development in research. It should also have clear design and be reproducible, reusable, extensible and maintainable. Manuscripts presenting code, software or implementation of described algorithms need to include a link to a repository where the code can be downloaded. In such cases the open source license should be clearly indicated in submitted manuscripts. Manuscripts that describe code that is not open source are desk rejected. The journal editors offer to fork source code or data repositories that accompany published papers on GitHub https://github.com/CAGEO, to help the community find the author's original repository.
Zielgruppe
Earth and Planetary Sciences
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