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

• Main Author: KAM, Tin Seong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Geospatial Analytics; GeoVisual Analytics; LISA; spatial statistics; GWR; ESDA; GIS; Asian Studies; Databases and Information Systems; Geographic Information Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/2099; https://ink.library.smu.edu.sg/context/sis_research/article/3098/viewcontent/AsiaGeospatialForum2013_RIGA.pdf
• Institution: Singapore Management University

In this information age, more and more public statistical data such as population census, household living, local economy and business establishment are distributed over the internet within the framework of spatial data infrastructure. By and large, these data are organized geographically such as region, province as well as district. Usually, they are published in the form of digital maps over the internet as simple points, lines and polygons markers limited or no analytical function available to transform these data into useful information. To meet the analytical needs of casual public data users, we contribute RIGA, a rich internet geospatial analytics application to allow casual data users to explore and analyse these data over the internet with great user experience. We demonstrate the potential of RIGA through the use of Exploratory Spatial Data Analysis (ESDA) and Exploratory Spatial Regression techniques to analyse regional development of Vietnam.