Difference between revisions of "Welcome to Geosciences Modeling Wiki"
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Content herein is generally specific to UiO, as otherwise it is recommended to make posts to [[Stack Exchange]] and the sites therein. | Content herein is generally specific to UiO, as otherwise it is recommended to make posts to [[Stack Exchange]] and the sites therein. | ||
− | This wiki uses 'category' tags, and below are some of the categories available. Note that in some cases, the content does not yet exist, in which case you are encouraged to edit and add information, or [[contact one of the site maintainers]] to request further information. | + | This wiki uses 'category' tags, and below are some of the categories available. Note that in some cases, the content does not yet exist, in which case you are encouraged to edit and add information, or [https://wiki.uio.no/mn/geo/geoit/index.php/Maintainers [contact one of the site maintainers]] to request further information. |
=== <span style="font-family:arial,helvetica,sans-serif">Purpose:</span> === | === <span style="font-family:arial,helvetica,sans-serif">Purpose:</span> === |
Revision as of 20:51, 17 October 2016
This Wiki is meant to provide a resource for those at UiO interested in working with computer modeling and data analysis in Earth Sciences.
Content herein is generally specific to UiO, as otherwise it is recommended to make posts to Stack Exchange and the sites therein.
This wiki uses 'category' tags, and below are some of the categories available. Note that in some cases, the content does not yet exist, in which case you are encouraged to edit and add information, or [contact one of the site maintainers] to request further information.
Purpose:
Provide information on software tools available for data analysis and scientific program for projects within the field of Geosciences in general and to provide users a cenral resource for keeping notes on UIO specific aspects of running various software routines. Ideally, this site will become overtime a 'go to' location where incoming students who will be working with modeling and heavy data analysis on servers can find tips for getting started.
Enjoy!