Using Sound to Represent Uncertainty in Future Climate Predictions for the UK Nick Bearman.

Slides:



Advertisements
Similar presentations
The goal of the OVERspace project is to develop and implement for Virginias educators, a state-wide professional development program and network for using.
Advertisements

Helping geoscience students improve their numeracy using Blackboard quizzes Anne-Marie Nuttall Natural Sciences & Psychology, Liverpool John Moores University.
Using portfolios to engage first year geoscience students in their subject and to develop learning skills. Alan Boyle & Dave Prior.
Geo-spatial and Visualisation L&T materials - the e-MapScholar project Moira Massey ALT-C 2002 University of Sunderland.
Salt Marsh Restoration Site Selection Tool An Example Application: Ranking Potential Salt Marsh Restoration Sites Using Social and Environmental Factors.
Created by a professional Moodle designer, this is recognized as being one of the best designed Moodle pages around. Its bright, inviting, and just a great.
X012 P(x) A probability distribution is as shown. If it is repeated and the 2 distributions combined then the following would be the table of.
Development of a Non-pharmacological Model of Cognitive Impairment for the Evaluation of Putative Pro-cognitive Agents – Potential Relevance for Age-Related.
Literature Review Kathryn Westerman Oliver Smith Enrique Hernandez Megan Fowler.
Operational Great Lakes Ice Charts and On-line Climatology 18 th Annual Canada/US Great Lakes Operational Meteorology Workshop Toronto Ontario Marie-France.
The Power of the Image 2011 Using Sound to Augment ‘the Image’ Nick Bearman University of East Anglia.
My Carbon Footprint: What am I going to do about it? Science Project Due Date: May 7 th ????
Search and Retrieval: More on Term Weighting and Document Ranking Prof. Marti Hearst SIMS 202, Lecture 22.
Troublesome knowledge, thresholds and climate change Brendan Hall CeAL, University of Gloucestershire Royal Geographical Society, London. 29/8/08.
An Internet Tool For Forecasting Land Use Change And Land Degradation In The Mediterranean Region Richard Kingston & Andy Turner University of Leeds UK.
Using Sound to Represent Positional Accuracy of Address Locations Nick Bearman and Andrew Lovett PhD School of Environmental Science University of East.
©Ian Sommerville 2000 Software Engineering, 6th edition. Chapter 15Slide 1 User interface design l Designing effective interfaces for software systems.
Developing Web-based GIS CAREER awareness modules for high school students Paper Session : Developing Resources Ming-Hsiang (Ming) Tsou, Ph.D. Associate.
Science Everything we know went through a testing process
The use of Remote Sensing in Land Cover Mapping and Change Detection in Somalia Simon Mumuli Oduori, Ronald Vargas Rojas, Ambrose Oroda and Christian Omuto.
Implementing an Enterprise GIS in a Municipal Environment Presenter: Chenay Simms.
PILOT STUDY. Pilot study is a small scale preliminary study conducted in order to evaluate feasibility, time, cost, adverse events, and effect size (Statistical.
Using the AMS Online Course and Real-time Weather Data for Inquiry Based Learning Julie Snow Dep. of Geography, Geology, and the Environment Slippery Rock.
Using Google Maps to collect spatial responses in a survey environment Nick Bearman Katy Appleton GISRUK 2011.
Geography Scholarship Jane Evans Geography Facilitator Team Solutions.
GIS for Environmental Science ENSC 3603 Class 19 3/24/09.
Esri International User Conference | San Diego, CA Technical Workshops | Spatial Statistics: Best Practices Lauren Rosenshein, MS Lauren M. Scott, PhD.
Using a Variety of Technologies to Teach Compute Hardware Background Approach  Quizzes  Web quests  Basic programming  Raspberry Pi Results Conclusions.
ENTERFACE ‘08: Project4 Design and Usability Issues for multimodal cues in Interface Design/ Virtual Environments eNTERFACE ‘08| Project 4.
Context Adaptation is needed, and is moving up the political and development agendas. Lots of money beginning to go into adaptation through both public.
Future Work Software Analysis and Design  20% of Americans age 50 and older play an instrument.  21.7% of adults over age 75 suffer from vision loss.
© UKCIP 2006 UKCP09 and the West Midlands region West Midlands Regional Climate Change Adaptation Partnership, 8th July 2009 Chris Thomas, UK Climate Impacts.
Spatial Data Analysis Yaji Sripada. Dept. of Computing Science, University of Aberdeen2 In this lecture you learn What is spatial data and their special.
1 Cloud Screening and Classification in Satellite Imagery Shona Mackie PhD student, University of Edinburgh CASE studentship: Met Office, U.K. Supervisor:
Learning Styles Career Awareness Career Discovery.
I'm thinking of a number. 12 is a factor of my number. What other factors MUST my number have?
Siemens.com© Siemens AG 2015 – All rights reserved. Haptic information for reliable displays Marc Burkhardt, Birgit Milius, Damaris Dose / RHF2015 September.
Fig. 1-CO, p. 2. Study guide for Exams Be able to answer the questions from the study guide for the exam. I will not collect the answers. I usually answer.
SIMO SIMulation and Optimization ”New generation forest planning system” Antti Mäkinen Dept. of Forest Resource Management / University of Helsinki.
Scientific Method Chapter 1, pgs
Software Architecture
OVER space “ Observing Virginia’s Environmental Resources from Space” Barbara Murray OVERspace Project Director Barbara Murray OVERspace.
Role of Spatial Database in Biodiversity Conservation Planning Sham Davande, GIS Expert Arid Communities Technologies, Bhuj 11 September, 2015.
BlindAid: a Virtual Exploration Tool for People who are Blind O. Lahav, Ph.D., D. Schloerb, Ph.D., S. Kumar, and M. A. Srinivasan, Ph.D Touch Lab, RLE,
Pattern Discovery of Fuzzy Time Series for Financial Prediction -IEEE Transaction of Knowledge and Data Engineering Presented by Hong Yancheng For COMP630P,
Practical Coach Discussion Session #60. Learning Objectives To understand the value of coaching in a manager’s work To learn how to determine when to.
Landscape Filtering in Animation Design Marco Ruocco Department of Geography University of California at Santa Barbara Advisor: Dan Montello.
Using Sound to Represent Uncertainty in UK Climate Predictions 2009 Data: Communication of Uncertainty Nick Bearman Phil Jones Andrew Lovett.
DIAGNOSING LEARNING STYLE. ENVIRONMENTAL PSYCHOLOGICAL SOCIOLOGICAL PHYSICAL COGNITIVE.
Insert speaker name and company
Characterizing Rural England using GIS Steve Cinderby, Meg Huby, Anne Owen.
: Flexible Open Learner Modeling Sergey Sosnovsky,
Building a Multi-Year Database of AAG Conference Abstracts André Skupin /Shujing Shu Dept. of Geography / Dept. of Computer Science University of New Orleans.
Who’s Sonifying Data and How are they doing it? A comparison of ICAD and other venues since 2009 Nick Bearman & Ethan Brown ICAD 2012.
Biology The Science of Biology Biology means the study of life.
There’s an App for That!. Google Maps App Price: Free  Subject Area: Geography – search landforms, continents, countries, cities and places.  Rationale.
Using Learning Analytics to Improve Learning Techniques COMP 683 F12 David Cachia
ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE ENVIRONMENTAL SCIENCE TEACHERS’ CONFERENCE, Borki Molo, Poland, 7-10 February 2007 Extreme Climatic and atmospheric.
Olfactory Stimuli Increase Presence During Simulated Exposure Benson G. Munyan, III, M.S., Sandra M. Neer, Ph.D., Deborah C. Beidel, Ph.D., ABPP, Florian.
Illustrating NOAA’s Geospatial Role in Resilient Coastal Zones Joseph Klimavicz, NOAA CIO and Director of High Performance Computing and Communications.
Chris Harvey NOAA Fisheries NWFSC, Seattle OVERVIEW: THE 2014 STATE OF THE CALIFORNIA CURRENT REPORT FROM THE CCIEA TEAM.
Chapter 6 : User interface design
Travelling to School.
Department of Geography University of New Orleans, Louisiana
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.
HCI Evaluation Techniques
Chapter 4 Summary.
Click to edit Master title style
Self Managing School Work
Presentation transcript:

Using Sound to Represent Uncertainty in Future Climate Predictions for the UK Nick Bearman

My Background Using Sound to Represent Uncertainty in Spatial Data Comparing different visual and sonic methods BSc Geography, MSc GIS – Dept. of Geography PhD – School of Environmental Sciences New to ‘Sonification’ / ICAD conference Not much music background 23 June 2011 BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

GIS – Geographical Information Systems 23 June (18/03/2009) Finnish Town GIS = Maps & Spatial Data Data usually shown visually But there are limits What data would I need to show using sound? BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

+ 2.5°C Future Climate Predictions How do we show all of this info? Jenkins, G. J., Perry, M. C. & Prior, M. J. (2008) Figure 2.63d ± 5.2°C Edinburgh Norwich +0.8°C to +1.2°C -2.7°C to +7.7°C Use another sense + 1°C ± 0.2°C BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

Why Sound? If Vision is full Touch or Sound are other feasible alternatives Touch (haptic) has had work done on it but can need expensive kit Sound hasn’t had much work and can be cheap and easy speakers / headphones & sound card Sound has great potential in terms of what can be represented using sound 23 June 2011 BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

Previous Examples Often used for visual impaired Sound replaces vision I’m looking at using sound and vision in combination Zhao (2006) Zhao (2006) Splits Screen into 9, Reads Aloud Fisher (1994) Fisher (1994) Uncertainty and Land Cover Classification MacVeigh & Jacobson (2007) MacVeigh & Jacobson (2007) Harbour, Sea and Land BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

UKCP09 - UK Climate Projections 2009 Future climate variables for UK up to 2080s Latest in the series of data sets First to include uncertainty Temperature Increase Probability Temperature Increase 50th 90th 10th Uncertainty is useful But users have to change their workflow to make use of it How do we represent this? Advice is to use 3 maps at 10 th, 50 th and 90 th percentile We could use sound… BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

Method – Using Sound with UKCP09 Can sound be used to represent uncertainty in UKCP09? Compare this to normal visual methods Three different methods (showing 50 th and Range): Some visual, some sonic, some both Asked users to highlight specific areas where temperature and uncertainty are over thresholds 23 June 2011 BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

VSVS VS

Evaluation Sessions 71 participants – UEA, OS, UKCIP Small group sessions Questionnaire, Maps, Discussion Session Questionnaire covered lots of things including: Awareness and use of the UKCP09 data Learning Style – Visual or Aural Knowledge of GIS / Climate Change Used Google Maps interface to Show the UKCP09 data And collect responses 23 June 2011 BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results

BackgroundSpatial Data Why Sound? UKCP09 Data Evaluation Sessions Results Compared users results to the correct results Great variation within results Cluster C had a very visual learning style Awareness of data set is important (p < 0.001) Using sound to reinforce vision increases scores (p = 0.005) for most Using sound for different variable helps some but not others Learning Style – Visual learners more effective Not significant trends: Subject knowledge Repeated use

Thanks & Questions