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Web 2.0 Data Visualisation Utilities

Web 2.0 Data Visualisation Utilities






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  • I’m not a neuroscientist but it is claimed that visual information is the most easily remembered A picture painted a thousand words
  • Flickr – geo-reference Programmableweb – contains approx 1640 spatial mash-ups or APIs that utilise a range of web2.0 services and mapping products Just launched GEOCOMMONS Finder –a browser-based application for finding, organizing, and sharing GeoData GEOCOMMONS Maker! enables you to create, publish and share maps. - see Platial / Mapbuilder International Research organisations SRON – satellite images of air pollution/greenhouse gases/UV radiation etc Antweb – California Academy of Science / NSF - plot all the ants known to AntWeb on a 3-dimensional interactive globe of satellite images – presume they mean species
  • Combining National Statistics geodemographic classifications (OACs) with ethnicity, deprivation, health data and Google Maps - ‘open geodemographics’ of urban areas Using the GMap Creator designed to make thematic mapping on the web. Remotely search for maps created using GMapCreator using MapTube
  • Pompeu Fabra – based on time, explicit locations and people’s descriptions of their photos - geovisualisations reveal patterns of tourists and indigenous population ‘consuming a city’ – such as the flow of people between attractions, the monuments area of influence, what is happening with day/night and working/weekend periodicity Choropleth maps, dot maps, cartograms, animated maps (temporal)
  • Advances in technologies, mergers, take overs, cease to exist histograms, scatter plots, regression, bar charts NGO/IGOs using utilities to upload their own data can create working groups, collaborative etc – Swivel/Data360 charge should users wish to impose restrictions on data Google offering terabytes of online storage for scientific datasets. Storage will be free to researchers, and anyone will be able to access the data. The service is due to launch soon. Data Visualization will be through the recently purchased Trendalyzer Negative/dark data
  • bursting of the dot-com bubble in the fall of 2001 – saw the emergence of Web 2.0 ‘ harness collective intelligence’ – Tim O-Reilly’s 7 principles of web 2.0 Sharing & creation of new knowledge Boundaries between websites and services blurring – more and more content is remixable – Entire system turning into both platform and global database - Twine / Freebase
  • ‘ Proof of concept exercise’ – not an empirical study chose 24 features and functions found to measure functionality, versatility and fitness for purpose of such utilities with regards to depositing and analysing data Including data upload, data sharing, syndication, tagging, creative commons licence etc
  • Statistical output from NGO/IGOs are predominantly at macro-level (in form of Official Statistics). There’s a range of cutting-edge data visualisation and dissemination tools which span both the numeric and spatial data arenas. Users can’t upload/publish own data
  • Web 3.0 – global database ; semantic web ; giant global graph; working in 3D, a path to artificial intelligence; applications being pieced together; a network effect of business applications Distinctions between Web sites and web services are blurring with content becoming more and more remixable

Web 2.0 Data Visualisation Utilities Web 2.0 Data Visualisation Utilities Presentation Transcript

  • Web 2.0 Data Visualisation Tools Stuart Macdonald DISC-UK Datashare Project Officer EDINA National Data Centre & Edinburgh University Data Library
    • Context
    • DISC-UK DataShare (http://www.disc-uk.org/datashare.html)
    • A JISC-funded collaborative project led by EDINA at the University of Edinburgh, with the University of Oxford, the London School of Economics (LSE) and the University of Southampton. Our central aim is to develop a model for the deposit of research datasets in institutional repositories (IRs).
    • Alternative mechanisms for researchers to share data beyond the IR.
  • Data Visualisation: The set of techniques used to turn a set of data into visual insight. It aims to give the data a meaningful representation by exploiting the powerful discerning capabilities of the human eye*. * Edinburgh Online Graphics Dictionary – http://homepages.inf.ed.ac.uk/rbf/GRDICT/grdict.htm
      • Spatial Data Visualisation
        • Programmableweb - http:// www.programmableweb.com /tag/mapping
        • - map or spatial mash-up ‘resource discovery tool’
        • GeoCommons – http://geocommons.com/ - ‘brings intelligence to the GeoWeb, unleashing tools and data’ (downloadable as CSV, KML, Shape)
        • SRON & KMNI
        • BODC
        • U.S. National Snow and Ice Data Center
        • USGS Earthquake Hazards Program
        • UNHCR layer in Google Earth – mash together news, images, video, statistical databases relating to refugees across the globe via the “Google Earth Outreach programme” - http://www.unhcr.org/events/47f48dc92.html
    • UCL Centre for Advanced Spatial Analysis - http://www.casa.ucl.ac.uk/
    • GeoVue – one of the 7 nodes of the National Centre for e-Social Science set up to develop ‘new kinds of virtual urban environments’ (VUEs) through which users can participate in furthering their understanding of cities
      • Demonstrators –
        • link publicly available datasets such as Population Census to non-proprietary mapping e.g. visualising a neighbourhood's geodemographic profile using different area classifications through Google Maps - http:// www.londonprofiler.org /
        • Linking 2D and 3D map data to real-time pollution data using open mapping utilities
    • Engage in other forms of collaboration e.g. Virtual London (via Second Life)
    • … and there’s more
      • John Hopkins University’s Interactive Map Tool
        • Supports digital field assignments allowing users to create custom mashups using a variety of digital media, text and data – http:// www.cer.jhu/index.cfm?pageID =351
      • Minnesota Interactive Internet Mapping Project
        • A mapping application that provides maps and imagery similar to Google Maps – claims to be data rich, interactive, secure, easy to use, have analytical capabilities - http:// maps.umn.edu /
      • Research at Pompeu Fabra University, Barcelona
        • Researchers mining spatial-temporal data provided by geotagged Flickr photos of urban locations – http://www.giradin.org/fabien/tracing/
      • Thematicmapping.org
        • A project (initialised by a master's thesis in GIS at University of Edinburgh) to investigate the use of geobrowsers for thematic mapping - http:// blog.thematicmapping.org /
    • Numeric Data Visualisation Tools:
    • ‘ Open’ ethos – anyone can upload/download or use data
    • Commercial Services embracing Web 2.0 business models
    • Collaborative
    • Easy to use
    • But …
    • Ephemeral nature of web
    • Not trusted repositories / archives
    • if it’s computer generated and looks good it must be right!
    • Palimpsest Project - http://research.google.com
    • Numeric Data Visualisation Tools:
    • Data360 - ( http://www.data360.org )
    • Many Eyes - ( http://services.alphaworks.ibm.com/manyeyes/home )
    • Swivel - ( http://www.swivel.com/ )
    • Gapminder – ( http://www.gapminder.org/downloads/applications/ )
    • StatCrunch – ( http://www.statcrunch.com/ )
    • Graphwise – ( http://www.graphwise.com/ )
    • Numbrary – ( http://numbrary.com/ )
    • Infochimps – ( http:// infochimps.org /home )
    • Dabble – ( http:// dabbledb.com / )
    • Open Economics – ( http://www.openeconomics.net/ )
    • Comparison of 8 Web 2.0 numeric data visualisation tools
    Upload data file
  • Horizontal Bar Chart Pie Chart
    • Macro-data Visualisation
        • OECD Country Statistical Profiles – OECD statistics in SDMX (Statistical Data Mark-up eXchange) - http://stats.oecd.org/nawwe/csp/default.html
        • IMF Data Mapper - http://www.imf.org/external/datamapper/index.php
        • Stat@tlas Europe - An online atlas of European statistical themes hosted by the Federal Statistical Office of Switzerland
        • Eurostat Tables Graphs Maps (TGM) - an interactive user interface to Eurostat data
    • Are such utilities a flash in the pan or here to stay?
    • Are they more appealing for researchers than institutional repositories?
    • Do they lack gravitas for academic purposes?
    • Can/should institutions support the use of these tools?
    • Do such ‘open data’ resources contribute to the ‘Global Database’?
    Food for thought ….
  • Thank You DISC-UK DataShare [email_address]