Daniel Bird
ABSTRACT
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Supplemental Material
Available for Download
- Natalia Andrienko and Gennady Andrienko. 2011. Spatial generalization and aggregation of massive movement data. IEEE Transactions on Visualization and Computer Graphics 17, 2(2011), 205–219. https://doi.org/10.1109/TVCG.2010.44Google Scholar
Digital Library
- Daniel Bird and Stephen Laycock. 2019. GPGPU Acceleration of Environmental and Movement Datasets. In ACM SIGGRAPH 2019 Posters (Los Angeles, California) (SIGGRAPH ’19). Association for Computing Machinery, New York, NY, USA, Article 41, 2 pages. https://doi.org/10.1145/3306214.3338584Google Scholar
- Nathalie I. Gilbert, Ricardo A. Correia, João Paulo Silva, Carlos Pacheco, Inês Catry, Philip W. Atkinson, Jenny A. Gill, and Aldina M. A. Franco. 2016. Are white storks addicted to junk food? Impacts of landfill use on the movement and behaviour of resident white storks (Ciconia ciconia) from a partially migratory population. Movement Ecology 4, 1 (dec 2016), 7. https://doi.org/10.1186/s40462-016-0070-0Google ScholarCross Ref
- Anita Graser, Peter Widhalm, and Melitta Dragaschnig. 2020. The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration. International Journal of Geographical Information Science 34, 12 (dec 2020), 2517–2540. https://doi.org/10.1080/13658816.2020.1776293Google ScholarCross Ref
- Andrew McCallum, Kamal Nigam, and Lyle H Ungar. 2000. Efficient clustering of high-dimensional data sets with application to reference matching. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining. 169–178.Google ScholarDigital Library
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