Environmental and Geo-Spatial Data Analytics (EnGeoData'2018)

Teisseire Maguelonne, Roche Mathieu, Inkpen Diana. 2018. Environmental and Geo-Spatial Data Analytics (EnGeoData'2018). In : Proceedings of IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE. Turin : IEEE Computer Society, 575-576. ISBN 978-1-5386-5090-5 IEEE International Conference on Data Science and Advanced Analytics (DSAA). 5, Turin, Italie, 1 Octobre 2018/4 Octobre 2018.

Résumé : The special session ”Environmental and Geospatial Data Analytics” (EnGeoData) brings together researchers interested by pre- and post-processing of environmental data, geographical information retrieval, spatial data mining and spatial data warehousing, knowledge discovery use-cases dedicated to environmental data, spatial text mining, spatial ontology, spatial recommendations and personalization, visual analytics for geospatial data, and dedicated applications. This year, the special session EnGeoData'2018 of the 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2018) contains a collection of four papers and provides high-quality research covering part of the challenges of Spatio- Temporal Data Science, from a theoretical or experimental point of view.

Mots-clés libres : Environmental management, Spatial data mining, Spatio-temporal analysis, Land use planning, Trajectory analysis, Agricultural Decision Support Systems, Urban traffic systems

Auteurs et affiliations

• Teisseire Maguelonne, IRSTEA (FRA)
• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568
• Inkpen Diana, University of Ottawa (CAN)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/588949/)

Métriques

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