Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/45641
Título: | When granules are not enough in a Theory of Granularities |
Autor(es): | Silva, Ricardo Almeida Pires, João Moura Santos, Maribel Yasmina |
Palavras-chave: | Granule granularity granular computing |
Data: | Mai-2017 |
Editora: | Springer Verlag |
Revista: | Lecture Notes in Geoinformation and Cartography |
Citação: | Silva R.A., Pires J.M., Santos M.Y. (2017) When Granules Are not Enough in a Theory of Granularities. In: Bregt A., Sarjakoski T., van Lammeren R., Rip F. (eds) Societal Geo-innovation. GIScience 2017. Lecture Notes in Geoinformation and Cartography. Springer, Cham |
Resumo(s): | Several approaches have been proposed to model spatiotemporal phenome- na at multiple LoDs, in particularly, under the granular computing research area, where a granularities-based model was proposed. Such model stands out from the related literature, but has two major limitations. On one hand, it has difficulties for describing regions, intervals of time, among others complex descriptions, and on the other hand, the generalization process is the same whether it is generalizing spatial, temporal or other features of a phenomenon. These problems reduce its applicability. To overcome such limitations, this paper extends the granularities-based model by introducing the granular term concept. We apply this concept to represent time in- stants and intervals as well as cells and raster regions. For each granular term, gener- alization rules are defined so that a phenomenon can be expressed from one LoD to a coarser one in an automatic way. Changing a phenomenon’s LoD can simplify granu- lar terms, transforming for instance a time interval into a time instant or a raster re- gion into a cell. Our contributions are shown based on a real dataset about tornadoes in the USA. The results obtained show an enhancement of application scenarios from the extended granularities-based model to its ability of providing different phenome- non's representations in each LoD, while keeping its original strengths. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/45641 |
ISBN: | 9783319472881 |
DOI: | 10.1007/978-3-319-56759-4_16 |
ISSN: | 1863-2351 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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camera_ready_agile_2017.pdf Acesso restrito! | 2,36 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons