Rich Internet GeoWeb for Spatial data Infrastructure

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 re...

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Main Author: KAM, Tin Seong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
GIS
RIA
Online Access:https://ink.library.smu.edu.sg/sis_research/1353
https://ink.library.smu.edu.sg/context/sis_research/article/2352/viewcontent/GIS2012.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-23522015-01-15T13:46:16Z Rich Internet GeoWeb for Spatial data Infrastructure KAM, Tin Seong 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 RIGVAT, a rich internet geospatial visual analytics tool to allow casual data users to explore and analyse these data over the internet with great user experience. We demonstrate the potential of RIGAT through the use of treemaps dynamically linked to interactive map to explore and analyse large spatio-temporal property transaction data provided by the national government agencies. 2010-10-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1353 https://ink.library.smu.edu.sg/context/sis_research/article/2352/viewcontent/GIS2012.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Geospatial Web Applications GIS RIA Interactive Mapping Databases and Information Systems Geographic Information Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Geospatial Web Applications
GIS
RIA
Interactive Mapping
Databases and Information Systems
Geographic Information Sciences
spellingShingle Geospatial Web Applications
GIS
RIA
Interactive Mapping
Databases and Information Systems
Geographic Information Sciences
KAM, Tin Seong
Rich Internet GeoWeb for Spatial data Infrastructure
description 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 RIGVAT, a rich internet geospatial visual analytics tool to allow casual data users to explore and analyse these data over the internet with great user experience. We demonstrate the potential of RIGAT through the use of treemaps dynamically linked to interactive map to explore and analyse large spatio-temporal property transaction data provided by the national government agencies.
format text
author KAM, Tin Seong
author_facet KAM, Tin Seong
author_sort KAM, Tin Seong
title Rich Internet GeoWeb for Spatial data Infrastructure
title_short Rich Internet GeoWeb for Spatial data Infrastructure
title_full Rich Internet GeoWeb for Spatial data Infrastructure
title_fullStr Rich Internet GeoWeb for Spatial data Infrastructure
title_full_unstemmed Rich Internet GeoWeb for Spatial data Infrastructure
title_sort rich internet geoweb for spatial data infrastructure
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/1353
https://ink.library.smu.edu.sg/context/sis_research/article/2352/viewcontent/GIS2012.pdf
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