Uma arquitetura de sistema de visualização web de dados espaço-temporais com foco na granularidade espacial

Abstract

The fast-paced growth of the Web and of the information available online has influenced he way people deal with data. To publish data is a worldwide trend nowadays. Though it is important to make such information available for anyone, it is also essential that people with no background in data visualization have an easy way to visualize and explore different types of data, so that they can understand better the world they live in. This works aims to present an architecture for a spatial-temporal visualization system capable of exploring the granularity of spatial data. The proposed architecture is conceptually divided into layers and uses a client-server model. The main purpose of the proposed system is to provide an intuitive system where people with no data visualization expertise can explore their spatial-temporal data through the creation of dashboards composed by visualizations, texts and images. In order to demonstrate the validity of the architecture, a system was implemented based on the proposed architecture. This system was used on the creation of two case studies. The proposed architecture was implemented and two case studies were created using the implemented system. The first case study relates the growth of dengue fever cases to the lack of basic sanitation in Brazil. The second case study shows the increase of agrotoxic sales in Brazil by state and the increase of intoxication cases registered on health facilities in the years of 2009 and 2014.