von Schmidt, Antje und Cyganski, Rita und Heinrichs, Matthias (2018) Shine on Transport Model Simulation Data: Web-based Visualization in R using Shiny. In: DATA ANALYTICS 2018: The Seventh International Conference on Data Analytics, Seiten 67-72. ThinkMind Digital Library. DATA ANALYTICS 2018, 2018-11-18 - 2018-11-22, Athen, Griechenland. ISBN 978-1-61208-681-1. ISSN 2308-4464.
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Offizielle URL: http://www.thinkmind.org/index.php?view=article&articleid=data_analytics_2018_5_20_60060
Kurzfassung
Microscopic transport demand models often use a large amount of data as input and provide detailed information for each individual trip as simulation output. Exploring this data can become very complex. Usually, several types of aggregation and disaggregation are performed on a spatial, temporal or demographic level. Consequently, often a combination of different tools is used for analyzing, communicating and validating the data. This paper introduces an interactive, user-friendly and scalable web application, which integrates different types of evaluations. Guidance and recommendations are given on how to implement such an application in R using Shiny.
elib-URL des Eintrags: | https://elib.dlr.de/123869/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Shine on Transport Model Simulation Data: Web-based Visualization in R using Shiny | ||||||||||||||||
Autoren: |
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Datum: | November 2018 | ||||||||||||||||
Erschienen in: | DATA ANALYTICS 2018: The Seventh International Conference on Data Analytics | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Seitenbereich: | Seiten 67-72 | ||||||||||||||||
Herausgeber: |
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Verlag: | ThinkMind Digital Library | ||||||||||||||||
ISSN: | 2308-4464 | ||||||||||||||||
ISBN: | 978-1-61208-681-1 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | transport demand model; simulation data; visualization; R; Shiny | ||||||||||||||||
Veranstaltungstitel: | DATA ANALYTICS 2018 | ||||||||||||||||
Veranstaltungsort: | Athen, Griechenland | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 18 November 2018 | ||||||||||||||||
Veranstaltungsende: | 22 November 2018 | ||||||||||||||||
Veranstalter : | IARIA | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||
HGF - Programmthema: | Verkehrssystem | ||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||
DLR - Forschungsgebiet: | V VS - Verkehrssystem | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - Urbane Mobilität (alt) | ||||||||||||||||
Standort: | Berlin-Adlershof | ||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrsforschung > Mobilität und urbane Entwicklung | ||||||||||||||||
Hinterlegt von: | von Schmidt, Antje | ||||||||||||||||
Hinterlegt am: | 03 Dez 2018 09:54 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:27 |
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