Evaluating Climate Visualization: An Information Visualization Approach -By Mridul Sen 1.

Slides:



Advertisements
Similar presentations
Objectives to improve citizens awareness and comfort industrial competitiveness efficiency of public administrations by enhancing and supporting the use,
Advertisements

Date 07/24/2010 Felipe Bacim Nicholas Polys Department of Computer Science Virginia Tech Cognitive Scaffolding in Web3D Learning Systems: A Case Study.
(use the arrow keys or the pink “hyperlinks” to advance) Effective PowerPoint Enhancing classroom presentations Next.
First Marine Board Forum – 15 May Oostende Marine Data Challenges: from Observation to Information From observation to data.
© The Integrated Assessment Society The Integrated Assessment Society Who we are and what we do? October 2008.
MULTIMEDIA Development Team.
Visualization CSC 485A, CSC 586A, SENG 480A Instructor: Melanie Tory.
Graphic Vision of Environment Threat in New Orleans Area after Katrina Student: Ke Yang Mentors: Dr. Wendy Zhang, Dr. Ju Chou COMPUTER SCIENCE, COLLEGE.
PURPOSE OF THE UIF * Enable the University to seize opportunities at the frontiers of knowledge and learning or to reshape existing programs consistent.
MULT1003: Introduction to Multimedia Presentations Jon Ivins and Howell Istance DMU.
Introduction to Using Precise Math Language
Web-based Portal for Discovery, Retrieval and Visualization of Earth Science Datasets in Grid Environment Zhenping (Jane) Liu.
Pedagogy and tutorial of E-learning Pedagogy and tutorial of E-learning Arne Kullbjer, Ingrid Nyman ICDC-Mjärdevi Science Park Linköping, Sweden UEE 27.
Kening Wang, Charles Stegman, Sean W. Mulvenon, and Yanling Xia University of Arkansas, Fayetteville, AR, Using Kriging and Interactive Graphics.
Media Arts and Technology Graduate Program UC Santa Barbara MAT 259 Visualizing Information George Legrady1 MAT 259 Visualizing Information Discipline.
Educator’s Guide Using Instructables With Your Students.
Kansas State University Department of Computing and Information Sciences CIS 830: Advanced Topics in Artificial Intelligence From Data Mining To Knowledge.
Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,
Climate change and Environmental Degradation Risk and Adaptation assessment Step 2 Collect scientific information.
Tradeoff Analysis: From Science to Policy John M. Antle Department of Ag Econ & Econ Montana State University.
The Old World Meets the New: Utilizing Java Technology to Revitalize and Enhance NASA Scientific Legacy Code Michael D. Elder Furman University Hayden.
Project-Based Assessment- innovative approach to assessment that focuses on assessing student projects. Based on a type of authentic learning called project.
Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2
Providing Access to Your Data: Tracking Data Usage Robert R. Downs, PhD NASA Socioeconomic Data and Applications Center (SEDAC) Center for International.
THEME 1: Improving the Experimentation and Discovery Process Unprecedented complexity of scientific enterprise Is science stymied by the human bottleneck?
© 2010 Pearson Addison-Wesley. All rights reserved. Addison Wesley is an imprint of Designing the User Interface: Strategies for Effective Human-Computer.
Visualizing Information in Global Networks in Real Time Design, Implementation, Usability Study.
Part-financed by the European Union ICT Toolkit (WP5) Stockholm Environment Institute Tallinn Centre Heidi Tuhkanen, SEI-Tallinn Centre
TEMPLATE DESIGN © An increasing world population, industrial development, globalization and changing weather and climate.
Heide Hackmann Stockholm, 31 January Introduction: process, objectives and audiences 2.Why a world social science report on global environmental.
A survey based analysis on training opportunities Dr. Jūratė Kuprienė Framing the digital curation curriculum International Conference Florence, Italy.
Introduction to Making Multimedia
CE 401 Climate Change Science and Engineering TuTh 9:10 – 10:25 George Mount and Brian Lamb CEE Laboratory for Atmospheric Research 11 January 2011.
CUAHSI HIS Survey at Berkeley Seongeun Jeong and Xu Liang Department of Civil & Environmental Engineering UC Berkeley.
Office of Science Office of Biological and Environmental Research DOE Workshop on Community Modeling and Long-term Predictions of the Integrated Water.
INTRODUCTION TO GEOGRAPHICAL INFORMATION SCIENCE RSG620 Week 1, Lecture 2 April 11, 2012 Department of RS and GISc Institute of Space Technology, Karachi.
Pascucci-1 Valerio Pascucci Director, CEDMAV Professor, SCI Institute & School of Computing Laboratory Fellow, PNNL Massive Data Management, Analysis,
Web based Hydrology and Water Resources Information System for India
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Soil and Water Conservation Modeling: MODELING SUMMIT SUMMARY COMMENTS Dennis Ojima Natural Resource Ecology Laboratory COLORADO STATE UNIVERSITY 31 MARCH.
GEON2 and OpenEarth Framework (OEF) Bradley Wallet School of Geology and Geophysics, University of Oklahoma
E-Learning. Three central questions: What is e-learning?  Why should we use it?  How should we go about doing it?
Save the Sea Turtle L.S.E. 3 rd grade PBL presentation.
Digital Learning India 2008 July , 2008 Mrs. C. Vijayalakshmi Department of Computer science and Engineering Indian Institute of Technology – IIT.
Structural Models Lecture 11. Structural Models: Introduction Structural models display relationships among entities and have a variety of uses, such.
Jake F. Weltzin United States Geological Survey USA National Phenology Network Integrating phenology data across spatial and temporal scales.
VAPoR: A Discovery Environment for Terascale Scientific Data Sets Alan Norton & John Clyne National Center for Atmospheric Research Scientific Computing.
INFORMATION TECHNOLOGY UNIT Review. FIRST OF ALL…THANK YOU.
1 Environmental Services Training Group LOCAL AUTHORITY ENVIRONMENT CONFERENCE 2015 Protecting Our Environment Hodson Bay Hotel, Athlone, May 2015.
26/05/2005 Research Infrastructures - 'eInfrastructure: Grid initiatives‘ FP INFRASTRUCTURES-71 DIMMI Project a DI gital M ulti M edia I nfrastructure.
Click to edit Master title style Overview of the NGSS Framework.
Communicating why sea ice matters: Efforts of the SEARCH Sea Ice Action Team SEARCH Planning Meeting Seattle, Washington November 19, 2015.
Vision of an Integrated Global Observing System Gregory W. Withee Assistant Administrator for Satellite and Information Services National Oceanic and Atmospheric.
1 Presentation Methodology Summary B. Golden. 2 Introduction Why use visualizations?  To facilitate user comprehension  To convey complexity and intricacy.
Landscape Heritage Sustainable Development Indicator Assessment using Geographical Information Systems in County Clare Lianda d’Auria Department of Geography,
All about Me C. Sage Lichtenwalner User Experience Design Major February 16, 2015.
CE 525. POSTER GRADING CATEGORIES Coverage of Topic communicate the important information in a way that furthers the audience’s understanding of the topic.
A WEB-ENABLED APPROACH FOR GENERATING DATA PROCESSORS University of Nevada Reno Department of Computer Science & Engineering Jigar Patel Sohei Okamoto.
International Pacific Research Center Introduction and issues December 5, 2007.
1 CP586 © Peter Lo 2003 Multimedia Communication Analysis & Design of Electronic Communication.
Methods: The project used a mixed methods approach including qualitative focus groups, a questionnaire study and systematic searches of the research literature.
Using Cyberinfrastructure to Study the Earth’s Climate and Air Quality Don Wuebbles Department of Atmospheric Sciences University of Illinois, Urbana-Champaign.
Physical and Human Geography
PBL Project Based Learning. What is PBL? PBL is a model for classrooms that emphasizes long- term, interdisciplinary and student-centered activities.
Evaluating Climate Visualization: An Information Visualization Approach -By Mridul Sen 1.
AmeriGEOSS Regional Initiative A framework that seeks to promote collaboration and coordination among the GEO Members of the American Continent Angelica.
Geospatial Technology in Climate Change
Indented Tree or Graph? A Usability Study of Ontology Visualization Techniques in the Context of Class Mapping Evaluation 本体可视化技术在类型匹配评估中的可用性研究 Qingxia.
Palestinian Central Bureau of Statistics
Presentation transcript:

Evaluating Climate Visualization: An Information Visualization Approach -By Mridul Sen 1

Credit: out-after-the-pole-melted.html 2

Contents Authors Introduction Background Tools Climate visualization Future directions A Year in the Life of Earth's CO2 (Video) Conclusion 3

Authors Jimmy Johansson, Senior Lecturer in Information Visualization, Linköping University. Tina-Simone Schmid Neset, Assistant professor, The Department of Thematic Studies -Environmental Change, Linköping university. Bjorn-Ola Linner´, Professor, Centre for Climate Science and Policy Research (CSPR)Environmental Change Linköping university, Sweden. 4

Introduction  Use of information visualization for climate visualization for better understanding of visualization tools and techniques and also how the previous methods in information visualization can be applied to climate visualization.  Collaboration between climate, visualization and human-computer interaction.  In-depth understanding of climate visualization. 5

Detailed analysis and communication of climate change issues and research results. The three interlinked research areas of climate visualization. Credit: 6

Background  Key challenges :  Complexity of societal and environmental systems.  Vast amount of heterogeneous data on spatial and temporal scales.  Rapid development of computational power and graphics to boost the representation of large datasets.  Information visualization approach was made but tools were not enough to give scientific evaluations details.  Plaisant’s evaluation categories :  Controlled experiments comparing design elements.  (Qualitative) usability evaluation of a tool. Most frequently used in literature.  Controlled experiments comparing several tools. Least used in literature.  Case studies of tools in realistic settings. 7

ICEWeb This tool lets researchers exchange and edit climate data through an easy-to-use web application. ICEDome This is a software environment for large scale visualization and functions as a framework for development of new visualization techniques. The focus is on using massive multi- dimensional and time variate data as well as on integrating mixed media in highly interactive, immersive, environments. 8

CLIMATE VISUALIZATION After identification of challenges within climate communication, scientists have taken approach based on the selection of data, their visual representation and the creation of narratives. Large datasets and complex modelling. Complexity of interlinked areas of studies including chemistry, oceanography, biology, physics etc. Narratives in climate visualization. 9

Ocean currents and temperatures on the NASA Science Visualization Wall at NASA Goddard Space Center in Greenbelt, Md. Credit: 10

The Worldview project  provide details based on scientifically validated data to communicate the complexity of climate change and interaction with audience.  In 2008, Researchers of Linkoping University, the Norrkoping Visualization Centre and the Swedish Meteorological and Hydrological Institute started the world view project. 11

In 2009,several presentations of 30 minutes were held in immersive dome environment. Credit: 12

 Previously performed evaluations  Priority given on data, representation, narrative, narrator and presentation environments.  Conducted with heterogeneous groups.  Questions based on novelty, aesthetics and understanding of the visual representations. 13

For visual representation, Volume bar chart was used. Illustrations of climate visualization, using extruded regions with different colour maps to convey information on a regional and global scale using example data sets. Credit: 14

Future Directions Depth knowledge on the effectiveness and efficiency of climate visualization. Controlled experiments comparing elements: Evaluation of colour maps. evaluation of how effective and efficient different graphical primitives. Assessment of interaction technique. evaluation of how uncertainties and variations in research data are conveyed by the visual representations. effectiveness and efficiency of advanced illumination models. 15

(Qualitative) usability evaluation of a tool: Web-based platforms and their applicability for uploading displaying and sharing various data sets for a number of research areas. Tools for dome presentations, their interactivity and compatibility for different data formats. Controlled experiments comparing two or more tools. Case studies of tools in realistic settings. 16

A Year in the Life of Earth's CO2 video-carbon-dioxide-global-warming-climate-environment/ video-carbon-dioxide-global-warming-climate-environment/ Credit: news.nationalgeographic.com news.nationalgeographic.com 17

CONCLUSION Beneficial for the researchers as the interactive tools helps in communication, analysis, planning and decision making. Developing and improving existing tools for efficiency and effects of visual representations of climate change related issues. Visualization for large variety of audiences. 18