https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Olive_Basora_2019aOlive Basora 2019a - Revision history2026-04-17T06:03:49ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Olive_Basora_2019a&diff=192345&oldid=prevScipediacontent: Scipediacontent moved page Draft Content 596868415 to Olive Basora 2019a2021-01-28T17:36:27Z<p>Scipediacontent moved page <a href="/public/Draft_Content_596868415" class="mw-redirect" title="Draft Content 596868415">Draft Content 596868415</a> to <a href="/public/Olive_Basora_2019a" title="Olive Basora 2019a">Olive Basora 2019a</a></p>
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</td></tr></table>Scipediacontenthttps://www.scipedia.com/wd/index.php?title=Olive_Basora_2019a&diff=192344&oldid=prevScipediacontent: Created page with " == Abstract == International audience; Problems tackled by researchers and data scientists in aviation and air traffic management (ATM) require manipulating large amounts of..."2021-01-28T17:36:24Z<p>Created page with " == Abstract == International audience; Problems tackled by researchers and data scientists in aviation and air traffic management (ATM) require manipulating large amounts of..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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International audience; Problems tackled by researchers and data scientists in aviation and air traffic management (ATM) require manipulating large amounts of data representing trajectories, flight parameters and geographical descriptions of the airspace they fly through. The traffic library for the Python programming language defines an interface to usual processing and data analysis methods to be applied on aircraft trajectories and airspaces. This paper presents how traffic accesses different sources of data, leverages processing methods to clean, filter, clip or resample trajectories, and compares trajectory clustering methods on a sample dataset of trajectories above Switzerland.<br />
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== Original document ==<br />
<br />
The different versions of the original document can be found in:<br />
<br />
* [http://dx.doi.org/10.29007/sf1f http://dx.doi.org/10.29007/sf1f]<br />
<br />
* [https://easychair.org/publications/open/BXjT https://easychair.org/publications/open/BXjT]<br />
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* [https://easychair.org/publications/paper/BXjT https://easychair.org/publications/paper/BXjT],<br />
: [https://easychair.org/publications/open/BXjT https://easychair.org/publications/open/BXjT],<br />
: [https://dblp.uni-trier.de/db/conf/opensky/opensky2019.html#OliveB19 https://dblp.uni-trier.de/db/conf/opensky/opensky2019.html#OliveB19],<br />
: [https://academic.microsoft.com/#/detail/3003613686 https://academic.microsoft.com/#/detail/3003613686]<br />
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* [https://hal.archives-ouvertes.fr/hal-02650267 https://hal.archives-ouvertes.fr/hal-02650267],<br />
: [https://hal.archives-ouvertes.fr/hal-02650267/document https://hal.archives-ouvertes.fr/hal-02650267/document],<br />
: [https://hal.archives-ouvertes.fr/hal-02650267/file/DTIS20110.1589966911.pdf https://hal.archives-ouvertes.fr/hal-02650267/file/DTIS20110.1589966911.pdf]</div>Scipediacontent