Guest editorial: special issue on environmental and geospatial data analytics - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles International Journal of Data Science and Analytics Year : 2018

Guest editorial: special issue on environmental and geospatial data analytics

Abstract

Environmental and more generally geospatial information is now provided by crowdsourcing but also by public administrations in the context of the open data policies. Analyses of such data are still challenging, because of their heterogeneity (structural, semantic, spatial, and temporal) and because of the difficulty in choosing the "best" knowledge discovery process to apply, according to the needs of the experts in the field. Challenges about data science deal with creation, storage, search, sharing, modeling, analysis, and visualization of data, information, and knowledge. This special issue of the International Journal of Data Science and Analytics Environmental and Geospatial Data Analytics contains a collection of seven papers and provides high-quality research covering part of the challenges mentioned above, from a theoretical or experimental point of view. It includes extended papers from the EnGeoData sessions of DSAA 2015 and DSAA 2016 (IEEE International Conference on Data Science and Advanced Analytics).

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Dates and versions

hal-02608566 , version 1 (16-05-2020)

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D. Inkpen, M. Roche, Maguelonne Teisseire. Guest editorial: special issue on environmental and geospatial data analytics. International Journal of Data Science and Analytics, 2018, 5 (2-3), pp.81-82. ⟨10.1007/s41060-018-0105-2⟩. ⟨hal-02608566⟩
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