KAM, Tin Seong

Institutional Knowledge at Singapore Management University

Singapore Management UniversityInstitutional Knowledge at Singapore Management UniversityResearch Collection School Of Information Systems School of Information Systems10-2010Rich Internet GeoWeb for Spatial dataInfrastructureTin Seong KAMSingapore Management University, tskam@smu.edu.sgFollow this and additional works at: https://ink.library.smu.edu.sg/sis_researchPart of the Databases and Information Systems Commons, and the Geographic InformationSciences CommonsThis Presentation is brought to you for free and open access by the School of Information Systems at Institutional Knowledge at SingaporeManagement University. It has been accepted for inclusion in Research Collection School Of Information Systems by an authorized administrator ofInstitutional Knowledge at Singapore Management University. For more information, please email libIR@smu.edu.sg.CitationKAM, Tin Seong. Rich Internet GeoWeb for Spatial data Infrastructure. (2010). Global Spatial Data Infrastructure 12 World Conference.Research Collection School Of Information Systems.Available at: https://ink.library.smu.edu.sg/sis_research/135311/28/20101Rich Internet GeoWeb Service for Spatial Data InfrastructureDr. Kam Tin Seong, Practice Associate ProfessorSchool of Information Systems, Singapore Management UniversityE-mail: tskam@smu.edu.sgContent• Geospatial Web Services for Spatial Data Infrastructure:  issues and problems • The Solution:  Rich Internet Geospatial Visual Analytics Tool (RIGVAT)  • Use Case Scenario:  Singapore property market • Toward a User-centric Geospatial Web Services framework• Q & A211/28/20102GSDI evolution…Mainframe Desktop ClientswwwUsability/CapabilityDeployability/Accessibility• From desktop GIS to web-based GISConventional InternetGIS Architecture• Deficiencies of conventional internet GISs:– data rich, content poor– poor usability– low client side capability– platform incompatibilitiesWeb ServerMap ServerClientSpatial engine11/28/20103What is Geospatial Web Service• It all start with Google Earth in 20055Geospatial Web evolution…Mainframe Desktop ClientswwwUsability/CapabilityDeployability/Accessibility11/28/20104Interactive API by GIS vendors• Google Earth API• Yahoo Flash API• ArcGIS Flash API• Mapquest Flash API7Geospatial Web 2.0811/28/20105Limitation of API approach• Inflexible UI - you will quickly recognise sites built from the template. Both the look and feel and animation are a give away. • The need to customise widgets - widgets have usually been built for a specific purpose, particularly the more advanced widgets such as query builder. • Locked into a particular internet mapping services or GIS. 9What is Geospatial Visual Analytics• is the science of analytical reasoning and decision-making with geospatial information, facilitated by interactive visual interfaces, computational methods, and knowledge construction, representation, and management strategies1011/28/20106Geospatial Visual Analytics framework• Maps are used to stimulate (visual) thinking about geospatial patterns, relationships and trends 1112Geospatial Visual Analytics framework ExplorationConfirmationPRIVATE REALMVISUAL THINKINGSynthesisPresentationPUBLIC REALMVISUAL COMMUNICATION11/28/20107Why people Geospatial Visual Analytics• People use visual analytics tools and techniques to– Synthesize information and derive insight from massive, dynamic, ambiguous, and often conflicting data– Detect the expected and discover the unexpected– Provide timely, defensible, and understandable assessments– Communicate assessment effectively for action13Example 11411/28/20108RIGVAT framework• Rich Internet Geospatial Visual Analytics Tools15RIGVAT DashboardAdobe FlashGeospatial AnalyticsGeoVis DataVisInteractivity ComponentsAdobe Flex (ActionScript, MXML, Flex SDK)ClientApplicationDataHow property data being distributed1611/28/20109Multiple Coordinated Views• Pin map + Treemap17Highlighting• Now, you can see the trees in the forest1811/28/201010The User-Centered Design Process19Awareness ExercisePrototypingConceptual DevelopmentPrototypingInteraction and Usability StudiesImplementationDeploymentIn Conclusion• Geospatial Visual analytics is the next step in visually supporting solving (geo)problems• Geospatial information solution development should go beyond conventional GIS and system integration approaches20

Rich Internet GeoWeb for Spatial data Infrastructure

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Rich Internet GeoWeb for Spatial data Infrastructure

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Institutional Knowledge at Singapore Management University