Can I read Performance Comparisons of Spatial Data Processing Techniques for a Large Scale Mobile Phone Dataset on EtoBox?

Performance Comparisons of Spatial Data Processing Techniques for a Large Scale Mobile Phone Dataset by Apichon Witayangkurn; Teerayut Horanont; Ryosuke Shibasaki is a scholarly article available to read on EtoBox.

What is Performance Comparisons of Spatial Data Processing Techniques for a Large Scale Mobile Phone Dataset about?

Mobile technology, especially mobile phone, is very popular nowadays. Increasing number of mobile users and availability of GPS-embedded mobile phones generate large amount of GPS trajectories that can be used in various research areas such as people mobility and transportation planning. However, how to handle such a large-scale dataset is a significant issue particularly in spatial analysis domain. In this paper, we aimed to explore a suitable way for extracting geo-location of GPS coordinate that achieve large-scale support, fast processing, and easily scalable both in storage and calculation speed. Geo-locations are cities, zones, or any interesting points. Our dataset is GPS trajectories of 1.5 million individual mobile phone users in Japan accumulated for one year. The total number was approximately 9.2 billion records. Therefore, we conducted performance comparisons of various methods for processing spatial data, particularly for a huge dataset. In this work, we first processed data on PostgreSQL with PostGIS that is a traditional way for spatial data processing. Second, we used java application with spatial library called Java Topology suite (JTS). Third, we tried on Hadoop

Author

Apichon Witayangkurn; Teerayut Horanont; Ryosuke Shibasaki

Publisher

ACM

Published

2012

Language

EN