30 years of synoptic observations from Neumayer Station with links to datasets
The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the ch...
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.150017 2024-09-15T17:46:28+00:00 30 years of synoptic observations from Neumayer Station with links to datasets Bernard, Jürgen König-Langlo, Gert Sieger, Rainer LATITUDE: -70.650000 * LONGITUDE: -8.250000 * DATE/TIME START: 1981-01-28T12:00:00 * DATE/TIME END: 2013-01-31T21:00:00 2014 384 datasets https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 en eng PANGAEA Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets. Computer Graphics Forum, 33(3), 291-300, https://doi.org/10.1111/cgf.12385 Suppementary material, QuickTime movie, 51 MB (URI: https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov) Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): EuroVis 2014: Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets, MPEG-4 movie of talk, 54 MB. https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 BSRN-1.0: Baseline Surface Radiation Network License 1.0 Access constraints: unrestricted info:eu-repo/semantics/openAccess Baseline Surface Radiation Network BSRN Dronning Maud Land Antarctica Georg von Neumayer GVN Monitoring station MONS Neumayer_based NEUMAYER III dataset bibliography 2014 ftpangaea https://doi.org/10.1594/PANGAEA.15001710.1111/cgf.12385 2024-07-24T02:31:23Z The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the characteristic behavior of different subgroups in the data. Like automatic subspace clustering, we aim at identifying interesting subgroups and attribute sets. We present a visual-interactive system that supports scientists to explore interesting relations between aggregated bins of multivariate attributes in mixed data sets. The abstraction of data to bins enables the application of statistical dependency tests as the measure of interestingness. An overview matrix view shows all attributes, ranked with respect to the interestingness of bins. Complementary, a node-link view reveals multivariate bin relations by positioning dependent bins close to each other. The system supports information drill-down based on both expert knowledge and algorithmic support. Finally, visual-interactive subset clustering assigns multivariate bin relations to groups. A list-based cluster result representation enables the scientist to communicate multivariate findings at a glance. We demonstrate the applicability of the system with two case studies from the earth observation domain and the prostate cancer research domain. In both cases, the system enabled us to identify the most interesting multivariate bin relations, to validate already published results, and, moreover, to discover unexpected relations. Other/Unknown Material Antarc* Antarctica Dronning Maud Land PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-8.250000,-8.250000,-70.650000,-70.650000) |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Baseline Surface Radiation Network BSRN Dronning Maud Land Antarctica Georg von Neumayer GVN Monitoring station MONS Neumayer_based NEUMAYER III |
spellingShingle |
Baseline Surface Radiation Network BSRN Dronning Maud Land Antarctica Georg von Neumayer GVN Monitoring station MONS Neumayer_based NEUMAYER III Bernard, Jürgen König-Langlo, Gert Sieger, Rainer 30 years of synoptic observations from Neumayer Station with links to datasets |
topic_facet |
Baseline Surface Radiation Network BSRN Dronning Maud Land Antarctica Georg von Neumayer GVN Monitoring station MONS Neumayer_based NEUMAYER III |
description |
The analysis of research data plays a key role in data-driven areas of science. Varieties of mixed research data sets exist and scientists aim to derive or validate hypotheses to find undiscovered knowledge. Many analysis techniques identify relations of an entire dataset only. This may level the characteristic behavior of different subgroups in the data. Like automatic subspace clustering, we aim at identifying interesting subgroups and attribute sets. We present a visual-interactive system that supports scientists to explore interesting relations between aggregated bins of multivariate attributes in mixed data sets. The abstraction of data to bins enables the application of statistical dependency tests as the measure of interestingness. An overview matrix view shows all attributes, ranked with respect to the interestingness of bins. Complementary, a node-link view reveals multivariate bin relations by positioning dependent bins close to each other. The system supports information drill-down based on both expert knowledge and algorithmic support. Finally, visual-interactive subset clustering assigns multivariate bin relations to groups. A list-based cluster result representation enables the scientist to communicate multivariate findings at a glance. We demonstrate the applicability of the system with two case studies from the earth observation domain and the prostate cancer research domain. In both cases, the system enabled us to identify the most interesting multivariate bin relations, to validate already published results, and, moreover, to discover unexpected relations. |
format |
Other/Unknown Material |
author |
Bernard, Jürgen König-Langlo, Gert Sieger, Rainer |
author_facet |
Bernard, Jürgen König-Langlo, Gert Sieger, Rainer |
author_sort |
Bernard, Jürgen |
title |
30 years of synoptic observations from Neumayer Station with links to datasets |
title_short |
30 years of synoptic observations from Neumayer Station with links to datasets |
title_full |
30 years of synoptic observations from Neumayer Station with links to datasets |
title_fullStr |
30 years of synoptic observations from Neumayer Station with links to datasets |
title_full_unstemmed |
30 years of synoptic observations from Neumayer Station with links to datasets |
title_sort |
30 years of synoptic observations from neumayer station with links to datasets |
publisher |
PANGAEA |
publishDate |
2014 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 |
op_coverage |
LATITUDE: -70.650000 * LONGITUDE: -8.250000 * DATE/TIME START: 1981-01-28T12:00:00 * DATE/TIME END: 2013-01-31T21:00:00 |
long_lat |
ENVELOPE(-8.250000,-8.250000,-70.650000,-70.650000) |
genre |
Antarc* Antarctica Dronning Maud Land |
genre_facet |
Antarc* Antarctica Dronning Maud Land |
op_relation |
Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets. Computer Graphics Forum, 33(3), 291-300, https://doi.org/10.1111/cgf.12385 Suppementary material, QuickTime movie, 51 MB (URI: https://hs.pangaea.de/Movies/bernard-etal_2014/cgf12385-sup-0001-S1.mov) Bernard, Jürgen; Steiger, Martin; Widmer, Sven; Lücke-Tieke, Hendrik; May, Thorsten; Kohlhammer, Jörn (2014): EuroVis 2014: Visual-interactive Exploration of Interesting Multivariate Relations in Mixed Research Data Sets, MPEG-4 movie of talk, 54 MB. https://hs.pangaea.de/Movies/bernard-etal_2014/EuroVis_2014_Visual-interactive_talk.mp4 https://doi.pangaea.de/10.1594/PANGAEA.150017 https://doi.org/10.1594/PANGAEA.150017 |
op_rights |
BSRN-1.0: Baseline Surface Radiation Network License 1.0 Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.15001710.1111/cgf.12385 |
_version_ |
1810494618555383808 |