AA-Maps - Attenuation and Accumulation maps for spatio-temporal event visualisation

Some phenomena, such as crimes in a city, fires occurred in a country and road accidents can be interpreted as sets of spatio-temporal events. A spatio-temporal event is described by a geographic location, a time instant and other characterising attributes. The cartographic visualisation of spatio-t...

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Detalhes bibliográficos
Autor principal: Albino, Catarina (author)
Outros Autores: Moura Pires, João (author), Datia, Nuno (author), Silva, Ricardo Almeida (author), Santos, Maribel Yasmina (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2018
Assuntos:
Texto completo:http://hdl.handle.net/10400.21/7972
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/7972
Descrição
Resumo:Some phenomena, such as crimes in a city, fires occurred in a country and road accidents can be interpreted as sets of spatio-temporal events. A spatio-temporal event is described by a geographic location, a time instant and other characterising attributes. The cartographic visualisation of spatio-temporal events remains unresolved, due to the challenges related with portraying multiple dimensions simultaneously: the spatial, the temporal and the semantic (zero or more dimensions) phenomenon's components. In this context, this article presents the Attenuation and Accumulation Maps (AA-Maps). The main idea of this visualisation analytic approach consists in showing in a map, the resulting effect of combining attenuation and accumulation, from a temporal reference of observation, given a spatio-temporal Level of Detail (LoD). Imagine the footprints of people crossing a garden in various directions. They leave different traces that summarize the cumulative effect of the footprints on the grass, which is attenuated as time goes by. AA-Maps support different combinations of attenuation and accumulation functions. In addition, this method also enables analysis with different Levels of Detail (LoD), both spatial and temporal. This allows distinct analytic perspectives of the phenomenon while promoting the search for the most suitable parametrization for its characteristics.