학술논문
Exploratory Trajectory Analysis for Massive Historical AIS Datasets
Document Type
Conference
Source
2020 21st IEEE International Conference on Mobile Data Management (MDM) Mobile Data Management (MDM), 2020 21st IEEE International Conference on. :252-257 Jun, 2020
Subject
Language
ISSN
2375-0324
Abstract
Data exploration is an essential task for gaining an understanding of the potential and limitations of novel datasets. This paper discusses the challenges related to exploring large Automatic Identification System (AIS) datasets. We address these challenges using trajectory-based analysis approaches implemented in distributed computing environments using Spark and GeoMesa. This approach enables the exploration of datasets that are too big to handle within conventional spatial database systems. We demonstrate our approach using a case study of 4 billion AIS records.