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 Systems9-2013RIGA: A Rich Internet Geospatial AnalyticsApplication for Area-based DataTin Seong KAMSingapore Management University, tskam@smu.edu.sgFollow this and additional works at: https://ink.library.smu.edu.sg/sis_researchPart of the Asian Studies Commons, Databases and Information Systems Commons, and theGeographic Information Sciences 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. RIGA: A Rich Internet Geospatial Analytics Application for Area-based Data. (2013). Asia Geospatial Forum, 24-26September 2013, Kuala Lumpur. Research Collection School Of Information Systems.Available at: https://ink.library.smu.edu.sg/sis_research/2099RIGA: A Rich Internet Geospatial Analytics Application for Area-based Data Dr. Kam Tin Seong. PhD Associate Professor of Information Systems (Practice) School of Information Systems Singapore Management University tskam@smu.edu.sg  • Motivations • RIGA design architecture • RIGA in action • Q & A                                        2 Content • A representation of geographical features in the form of polygon or lattice. • Formal – political boundary, administrative boundary, election boundary.  • Informal – analytical grid, hexagon, etc                                        3 What are Area-based Geospatial Data • Availability and easy accessible to highly disaggregated public and government data.  •                                          4 Motivation 1: data.gov initiative  Motivation 2:  The Myth of Geography matters!                                        5 • About 80% of all data maintained by organizations around the world has a location component (Source: BusinessWeek Research Services, 2006) issues related to the business processes...                                                           ….happen in places                                        6 GIS map • A choropleth map showing the distribution of a geographical theme.  – For example, where are the provinces with high crude death rate.                                        7 Geospatial Analytics map • A hotspot area map identify spatial association of the geographical theme – For example, where are the clusters of provinces with high crude death rates.  • spdep, spgwr                                        8 Geospatial Analytics toolkits – API library                                         9 Geospatial Analytics Toolkit - desktop Motivation 3: GeoWeb 2.0 Mainframe Desktop Clients www Usability/Capability Deployability/Accessibility • From www GIS to GeoWeb 2.0 GeoWeb 2.0                                         11 Modern web map                                         12 RIGA Architecture Geospatial Data Server Client Javascript + HTML5 Spatial Database Web Server Geospatial Analytics Server csv, xls, shapefile                                         13 RIGA- Exploratory Spatial Data Analysis (ESDA) • Interactive GUIs                                        14 RIGA- Exploratory Spatial Data Analysis (ESDA) • Interactive boxplot                                        15 RIGA- Exploratory Spatial Data Analysis (ESDA) • Interactive Moran scatter plot                                        16 RIGA- Exploratory Spatial Data Analysis (ESDA) • Parallel coordinate plot and choropleth map for visualising and analysing multivariate data.                                        17 RIGA – Exploratory Regression models • Multiple regression models (OLS and GWR)                                        18 RIGA – Exploratory Regression models 

RIGA: A Rich Internet Geospatial Analytics Application for Area-based Data

https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=3098&amp;context=sis_research

RIGA: A Rich Internet Geospatial Analytics Application for Area-based Data

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