A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse
This paper presents a visual tool to facilite the trajectory analysis and the discovery of spatio-temporal patterns in a trajectory data warehouse (TDW). The proposed tool is a spatio-temporal magnifying glass that allows analysts to focus on a specific region, where several trajectories have ocurre...
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| Formato: | Artículo (Article) |
| Lenguaje: | Español (Spanish) |
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Universidad Militar Nueva Granada
2014
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| Acceso en línea: | http://hdl.handle.net/10654/33166 |
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Universidad Militar Nueva Granada |
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Español (Spanish) |
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Trajectories trajectory analysis episodes stop episodes proximity episodes data warehouses visualization spatio-temporal. Trayectorias análisis de trayectorias episodios episodios de estadía episodios de cercanía bodegas de datos visualización espacio-temporal. |
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Trajectories trajectory analysis episodes stop episodes proximity episodes data warehouses visualization spatio-temporal. Trayectorias análisis de trayectorias episodios episodios de estadía episodios de cercanía bodegas de datos visualización espacio-temporal. Moreno, Francisco Javier Bota Sierra, Sergio Cadavid Agudelo, Andrés Felipe A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| description |
This paper presents a visual tool to facilite the trajectory analysis and the discovery of spatio-temporal patterns in a trajectory data warehouse (TDW). The proposed tool is a spatio-temporal magnifying glass that allows analysts to focus on a specific region, where several trajectories have ocurred and to delect, according to some parameters spsecified by the analyst through a graphical interface, e.g.the closeness relationship between trajectories of between a trajectory and its surrounding sites. In this paper, we propose and formally define derived closeness was the enrichment of a TDW model in order to allow the formulation of more expressive queries and to support the visualization aspect of the proposed tool. Although experiments that are more exhaustive are required, our results evidence some spatio-temporal patterns that demonstrate the convenience and advantages of our tool. |
| format |
Artículo (Article) |
| author |
Moreno, Francisco Javier Bota Sierra, Sergio Cadavid Agudelo, Andrés Felipe |
| author_facet |
Moreno, Francisco Javier Bota Sierra, Sergio Cadavid Agudelo, Andrés Felipe |
| author_sort |
Moreno, Francisco Javier |
| title |
A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| title_short |
A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| title_full |
A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| title_fullStr |
A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| title_full_unstemmed |
A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse |
| title_sort |
spatio-temporal magnifying glass: a tool for the visual analysis of trajectories in a datawarehouse |
| publisher |
Universidad Militar Nueva Granada |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10654/33166 |
| _version_ |
1712101967545761792 |
| spelling |
ir-10654-331662020-01-08T19:06:43Z A spatio-temporal magnifying glass: A tool for the visual analysis of trajectories in a datawarehouse Lupa espacio-temporal: Una herramienta para el análisis visual de trayectorias en una bodega de datos Moreno, Francisco Javier Bota Sierra, Sergio Cadavid Agudelo, Andrés Felipe Trajectories trajectory analysis episodes stop episodes proximity episodes data warehouses visualization spatio-temporal. Trayectorias análisis de trayectorias episodios episodios de estadía episodios de cercanía bodegas de datos visualización espacio-temporal. This paper presents a visual tool to facilite the trajectory analysis and the discovery of spatio-temporal patterns in a trajectory data warehouse (TDW). The proposed tool is a spatio-temporal magnifying glass that allows analysts to focus on a specific region, where several trajectories have ocurred and to delect, according to some parameters spsecified by the analyst through a graphical interface, e.g.the closeness relationship between trajectories of between a trajectory and its surrounding sites. In this paper, we propose and formally define derived closeness was the enrichment of a TDW model in order to allow the formulation of more expressive queries and to support the visualization aspect of the proposed tool. Although experiments that are more exhaustive are required, our results evidence some spatio-temporal patterns that demonstrate the convenience and advantages of our tool. En este artículo se presenta una herramienta visual para facilitar el análisis de trayectorias y el descubrimiento de patrones espacio-temporales a partir de una bodega de datos de trayectorias (BDT). La herramienta propuesta, una lupa espacio-temporal, permite que el analista se enfoque en una determinada región donde han ocurrido varias trayectorias y permite detectar, según ciertos parámetros especificados por el analista a través de una interfaz gráfica, p. ej. la relación de cercanía de una trayectoria con otras o con los sitios a su alrededor. En el artículo se proponen y definen formalmente las relaciones de cercanía derivadas entre trayectorias y entre trayectorias y sitios. Una contribución adicional fue el enriquecimiento de un modelo de una BDT con el fin de permitir la formulación de consultas más expresivas y apoyar el aspecto de visualización de la herramienta propuesta. 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In Derechos de autor 2016 Ciencia e Ingeniería Neogranadina https://creativecommons.org/licenses/by-nc-nd/4.0 application/pdf text/html Universidad Militar Nueva Granada Ciencia e Ingenieria Neogranadina; Vol 24 No 2 (2014); 77-96 Ciencia e Ingeniería Neogranadina; Vol. 24 Núm. 2 (2014); 77-96 Ciencia e Ingeniería Neogranadina; v. 24 n. 2 (2014); 77-96 1909-7735 0124-8170 |
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12,131701 |