EVA WG: Subgroup on Visualization Techniques August 2, 2013 Participants: Aritra Dasgupta, Steve Aulenbach, Yaxing Wei, Dan Ricciuto, Claudio Silva, Forrest Hoffman, Bill Hargrove, and Anna Michalak, Debbie Huntzinger, not able to participate: Chrisopher Schwalm, Teleconference: Toll Free Number: 866-703-9626 Pass Code: 767574 WebEx: https://edss.webex.com/edss/j.php?ED=228797252&UID=1629826952&PW=NM2YzMDQzMDgx&RT=MiMxMQ%3D%3D Password: 20130802 Agenda 1. Update on EVA activities 2. Visualization Techniques 3. other topics 4. next teleconference Notes 1. Update on EVA Activities * Next EVA Working Group Meeting is October 22 - 24, 2013, Albuquerque, NM * Travel will be covered by DataONE * Logistics will be announced in next few weeks * Integrated Model Intercomparison Framework - Yaxing Download VisTrails Package: https://github.com/yaxingwei/imif Download VisTrails Package Help Docs: https://github.com/yaxingwei/imif-doc * VisTrails Modules Development * DataONE Summer Intern, Fei Du, Univ. of Wisconsin * 4 groups, 24 modules, including modules developed this year and last year (by Jorge Poco) * UV-CDAT Development * Aritra Dasgupta, DataONE Post-Doc * Building functionality of visualizing complex multidimensional data within UV-CDAT. Multidimensional data includes multiple variables (primary production, biomass, nitrogen sources) on maps (lat, long), over time. The functionality includes parallel coordinates, multi-projection plots, stacked bar charts, heat maps, and bubble plots etc. * Similarity - Aritra * for those who can attend, we will have a call on Tuesday, August 6 at 2 pm EDT * visualization-enabled analysis of climate model similarity, addressing the question are results from different models (or models and observations) similar. The approach in this activity is to use multidimensional projections / dimensionality reduction algorithms to understand similarity and investigate in detail, why, where, and when models are similar. 2. Visualization Techniques * One part of this activity was to collect figures (maps, scatter plots, bar charts, line plots) from the literature and critique the effectiveness of these plots. See URLs: * Maps: * https://docs.google.com/forms/d/128_rxkhsVsF2C3n1osZKrHuMxls62J55ek4BzF6cn4o/viewform * https://docs.google.com/forms/d/128_rxkhsVsF2C3n1osZKrHuMxls62J55ek4BzF6cn4o/viewanalytics * Scatter Plots * https://docs.google.com/forms/d/1Uu0as_-VqpwqUnyIrAhxM93lvmdCTx6Bz1uldXDvJ9g/viewform * https://docs.google.com/forms/d/1Uu0as_-VqpwqUnyIrAhxM93lvmdCTx6Bz1uldXDvJ9g/viewanalytics * Line Charts * https://docs.google.com/forms/d/1Z0FQB4OYt4QchTB0BKFTr9paw0DegA3CMbkp2_4muEM/viewform * https://docs.google.com/forms/d/1Z0FQB4OYt4QchTB0BKFTr9paw0DegA3CMbkp2_4muEM/viewanalytics * The other part of this activity is to have the EVA WG (researchers and visualization experts) pick representative visualizations and develop alternative methods for visualizing the data. * Ultimately the group will develop a set of best practices for visualizing complex data. * Some notes on map reviews MapD2: - spatial distribution of model GPP mean and spread - links between magnitude of GPP and its spread MapU3: - one model two different variables - MapMorton2 - compare temporal correlation betwee BA with different climate drivers - link different maps together alternative structure of this survey blind survey ask the originator to describe their intent and the specific set of conclusions ask a group of researchers the same thing: general and specific intent of the visualization compare originator's and the group's responses need to have the originators provide the general and specific and then compare the group of researchers The responses to the current survey is helpful to create a category/taxonomy of visuliazation intents (or usages). Combined this survey with some "blind survey", we will be able to achieve the purpose of "taxonomy of design problems" 4. next teleconference options: Tuesday, August 27, 2013 Wednesday, August 28 Thursday, August 29 DataONE EVA pbWiki: http://dataoneeva.pbworks.com