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Computers and Geosciences
Resumen/Descripción – provisto por la editorial en inglés
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 structure; database retrieval; information retrieval; data processing; artificial intelligence; computer graphics; computer visualization; programming languages; parallel systems; distributed systems; the World-Wide Web; social media; and software engineering.
Geoscientific topics of interest include: mineralogy; petrology; geochemistry; geomorphology; paleontology; stratigraphy; structural geology; sedimentology; hydrogeology; oceanography; atmospheric sciences; climatology; meteorology; geophysics; geomatics; remote sensing; geodesy; hydrology; and glaciology.
Other fields may be considered but are not regarded as a priority.
Computers & Geosciences does not consider:Pure methodology papers (without computer science)Standard code of already well-established, or previously published methodsGraphical User Interfaces (GUIs), unless they provide an original solution to a non-trivial input-handling problemPapers which use GIS tools in only standard ways, but are otherwise largely focused on the geoscience disciplineSubmissions from fields such as mining engineering, petroleum engineering, geotechnical engineering, rock-mechanics and others, unless such submissions contain a significant geosciences component. For instance, a mining paper only dealing with transport problems, a geotechnical paper on lab experiments, or a paper on rockbolting, would be considered unsuitable.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. The journal uses the github.com platform (search for: CAGEO) which allows the community to publish, maintain, update and comment on published code and data.
Paper Types:Original research article (5,000 words): Providing a novel and original contribution to the scientific fields of study outlined above.Application article (5,000 words): Describing a real-world case study on the scientific fields of study outlined above. Scientific review article (10,000 words): Critically describing the state-of-the art of applications of computer science in the geosciences, as a stand-alone contribution or to frame a special issue. Criteria for assessment shall be: completeness, depth, novelty, timeliness, quality, and interest to the Journal's readership. Review outlines should be pre-approved by an Associate Editor, or Editorial Board Member of the Journal.Book and software reviews (1500 words): Describing and evaluating a new or significant publication or piece of software relevant to aspects of computation or informatics in the geosciences.Letter to the Editor: Commenting on published articles. Criteria for assessment shall be the merit of the question or comment raised. The author(s) of the commented-on article shall be offered the opportunity to prepare a reply, to be published alongside the comment.
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde ene. 1975 / hasta dic. 2023 | ScienceDirect |
Información
Tipo de recurso:
revistas
ISSN impreso
0098-3004
ISSN electrónico
1873-7803
Editor responsable
Elsevier
País de edición
Reino Unido
Fecha de publicación
1975-
Cobertura temática
Tabla de contenidos
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Web-phreeq: a WWW instructional tool for modeling the distribution of chemical species in water
Bernhardt Saini-Eidukat; Andrew Yahin
Pp. 347-353
Integrating river cross section measurements with digital terrain models for improved flow modelling applications
B. Schäppi; P. Perona; P. Schneider; P. Burlando
Pp. 707-716
Estimating permeability from thin sections without reconstruction: Digital rock study of 3D properties from 2D images
Nishank Saxena; Gary Mavko; Ronny Hofmann; Nattavadee Srisutthiyakorn
Pp. 79-99
Rapid multispectral data sampling using Google Earth Engine
Sam A.S. Brooke; Mitch D’Arcy; Philippa J. Mason; Alexander C. Whittaker
Palabras clave: Computers in Earth Sciences; Information Systems.
Pp. 104366