Uma abordagem para visualização espaço-temporal

• Ano de defesa: 2018
• Autor(a) principal: Vieira, Ana Paula dos Santos Braatz
• Orientador(a): Ribeiro, Marcela Xavier
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação - PPGCC
• Palavras-chave em Português: Dados espaço-temporais; Representação espaço-temporal; Coordenadas paralelas; Textura temporal; NDVI; IVND
• Palavras-chave em Inglês: Parallel coordinates; Space-time data; Temporal texture; Space-time representation
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA
• Link de acesso: https://repositorio.ufscar.br/handle/ufscar/10686

Analyzing and understanding spatial data that varies over time is a complex task. Usually, the data is arranged in a tabular or text form. We developed the ST-Vis (SpatioTemporal Visualization) tool to provide a visual representation of spatiotemporal data, which must help users to understand the temporal variation in a region when combining the parallel coordinate graph with a geographical map, the temporal texture, and a table. The temporal texture results in a representation of colors for the variation of the Normalized Difference Vegetation Index (NDVI), each texture cell refers to a period to be analyzed. ST-Vis provides a simultaneous spatiotemporal representation of data, and the visualizations interact with each through animations. We evaluated the ST-Vis tool through a conversation with some domain specialists in the area, and through a form applied to some experts in the field, students and teachers in the area of agribusiness, computing, and other areas. It has been found that ST-Vis assists users in understanding spatiotemporal data through generated visualizations