Uma arquitetura e implementação do módulo de visualização para biblioteca PyMove

Abstract

Trajectory data volume is growing rapidly due to a number of factors, including the advancement and cost savings of location technologies such as GPS sensors. This reality highlights the need for the development of new technologies and computational techniques to discover knowledge and information from this data. Despite the large number of technical publications on the subject, it is notable the absence of software and tools that support and can help researchers to analyze and manipulate this type of data in a centralized manner. This work proposes a modeling and architecture of previously existing functions for the PyMove library, focused on working with spatiotemporal data, through architecture and modeling. In addition, this paper also presents the implementation of visualization techniques to aggregate the visualization module of this library. At the end of this paper it is possible to make an overview and identify relevant points in relation to the related works analyzed, such as advantages such as extensibility, scalability, and disadvantages, such as having a reduced scope of operations, as well as the visualizations produced.