Statistical methods for modelling the spatial distribution of plant species from large masses of uncertain occurrences from citizen science programs

Autor: Botella, Christophe

Publikováno v: Statistics [math.ST]. Université Montpellier, 2019. English. ⟨NNT : 2019MONTS135⟩
Machine Learning [stat.ML]. Université de Montpellier, 2019. English

Human botanical expertise is becoming too scarce to provide the field data needed to monitor plant biodiversity. The use of geolocated botanical observations from major citizen science projects, such as Pl@ntNet, opens interesting paths for a tempora

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::61e133a376687a0b0c9563721ed6c209
https://tel.archives-ouvertes.fr/tel-02946423/file/BOTELLA_2019_archivage.pdf

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