Scalable Interactive Geo Visualization Platform for GIS Data Analysis
| Autor: | Sarath Saleem, Sujala D. Shetty, Lekha R. Nair |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
Geospatial analysis Computer science business.industry 05 social sciences 020207 software engineering 02 engineering and technology computer.software_genre World Wide Web GIS and public health Information visualization Data visualization Interactive visual analysis 0502 economics and business 0202 electrical engineering electronic engineering information engineering Geovisualization Enterprise GIS business Interactive visualization computer |
| Zdroj: | DASC/PiCom/DataCom/CyberSciTech |
| DOI: | 10.1109/dasc-picom-datacom-cyberscitec.2016.152 |
| Popis: | Visualization of geographic data finds enormous applications in location finding, disaster management, resource allocation, mobility pattern detection etc. In this Big Data era, location information is embedded in most of the available data. While many general purpose visualization tools available today fail to scale when handling big data and also lack visually appealing output, this paper aims to design and implement a web based application that offers Geographic visualization platform for users to create and publish interactive geographic maps based on large static as well as streaming geo datasets. The application is capable of integrating, analyzing and visualizing Big Data from a Geographic Information Systems (GIS) perspective and here the application is tested with urban data sets and twitter streaming data to perform visualization and data driven analysis of mobility patterns and social networking activity. The application can be deployed in the cloud and can be accessed by any browser on any smart device. |
| Databáze: | OpenAIRE |
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