Procesamiento y análisis de datos espaciales y temporales relativos a espacios urbanos

Actualmente, muchos de los gobiernos locales no cuentan con información de calidad, ni mecanismos de adquisición continua de datos que permitan un monitoreo de la dinámica global de la ciudad, como herramienta de apoyo para la toma de decisiones y la definición de políticas públicas. Este proyecto apunta a estudiar, experimentar y optimizar infraestructuras de Big Data enfocadas en información heterogénea fuertemente ligada a datos espaciales y temporales. Nuestro estudio, se concentra en diseñar un entorno que permita gestionar la recolección de datos urbanos desde diferentes fuentes (registros de actividad de teléfonos móviles, redes sociales, aplicaciones móviles de turismo, tarjeta SUBE, sensores urbanos, etc) para realizar análisis de datos geo- temporales, construir modelos predictivos y generar servicios para la visualización y síntesis de la información resultante. Los resultados serán de directa aplicación tanto en organismos públicos como privados, para objetivos como por ejemplo: planificación del transporte público, cartografía social, acceso a centros de salud y educación, turismo, etc.Eje: Innovación en Sistemas de Software.Red de Universidades con Carreras en Informática (RedUNCI

Gerenciamento de restrições de integridade para dados geoespaciais multi-escala

Orientador: Claudia Maria Bauzer MedeirosDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de ComputaçãoResumo: Trabalhar em questões relativas a dados geoespaciais presentes em múltiplas escalas apresenta inúmeros desafios que têm sido atacados pelos pesquisadores da área de GIS (Sistemas de Informação Geográfica). De fato, um dado problema do mundo real deve frequentemente ser estudado em escalas distintas para ser resolvido. Outro fator a ser considerado é a possibilidade de manter o histórico de mudanças em cada escala. Além disso, uma das principais metas de ambientes multi-escala _e garantir a manipulação de informações sem qualquer contradição entre suas diferentes representações. A noção de escala extrapola inclusive a questão espacial, pois se aplica também, por exemplo, _a escala temporal. Estes problemas serão analisados nesta dissertação, resultando nas seguintes contribuições: (a) proposta do modelo DBV (Database Version) multi-escala para gerenciar de forma transparente dados de múltiplas escalas sob a perspectiva de bancos de dados; (b) especificação de restrições de integridade multi-escala; (c) implementação de uma plataforma que suporte o modelo e as restrições, testados com dados reais multi-escalaAbstract: Work on multi-scale issues concerning geospatial data presents countless challenges that have been long attacked by GIScience (Geographic Information Science) researchers. Indeed, a given real world problem must often be studied at distinct scales in order to be solved. Another factor to be considered is the possibility of maintaining the history of changes at each scale. Moreover, one of the main goals of multi-scale environments is to guarantee the manipulation of information without any contradiction among the different representations. The concept of scale goes beyond issues of space, since it also applies, for instance, to time. These problems will be analyzed in this thesis, resulting in the following contributions: (a) the proposal of the DBV (Database Version) multi-scale model to handle data at multiple scales from a database perspective; (b) the specification of multi-scale integrity constraints; (c) the implementation of a platform to support model and constraints, tested with real multi-scale dataMestradoCiência da ComputaçãoMestre em Ciência da Computaçã

WICC 2017 : XIX Workshop de Investigadores en Ciencias de la Computación

Actas del XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017), realizado en el Instituto Tecnológico de Buenos Aires (ITBA), el 27 y 28 de abril de 2017.Red de Universidades con Carreras en Informática (RedUNCI

Providing Multi-scale Consistency For Multi-scale Geospatial Data

We are immersed in a world in which we constantly deal (and cope) with objects and phenomena in a variety of scales in space and time. With the increase in collaborative and interdisciplinary research, there appeared a growing need for handling data in multiple scales and representations, within a single environment. The so called multi-scale environments must guarantee the manipulation of information while ensuring consistency. This paper is concerned with the challenges of managing data in multiple scales, while preserving consistency across scales. Its main contributions are the following: (a) the specification of generic, extensible multiscale integrity constraints; and (b) the implementation of a prototype based on data versioning, which supports the maintenance of these constraints. This prototype was tested using watershed data from Brazil. 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