Recommendations for Data Visualizations Based on Gestalt Patterns.

Jens Gulden

doi:10.1109/ES.2016.28

Recommendations for Data Visualizations Based on Gestalt Patterns.

Jens Gulden

Research output: Contribution to conference › Paper › Academic

Original language	English
Pages	168-177
DOIs	https://doi.org/10.1109/ES.2016.28
Publication status	Published - 2016

Bibliographical note

DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Access to Document

10.1109/ES.2016.28

https://dblp.org/rec/conf/es/Gulden16

Cite this

@conference{59fd06f639794b6e9205d1cdf5a665cb,

title = "Recommendations for Data Visualizations Based on Gestalt Patterns.",

author = "Jens Gulden",

note = "DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2016",

doi = "10.1109/ES.2016.28",

language = "English",

pages = "168--177",

}

TY - CONF

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AU - Gulden, Jens

N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2016

Y1 - 2016

U2 - 10.1109/ES.2016.28

DO - 10.1109/ES.2016.28

M3 - Paper

SP - 168

EP - 177

ER -