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Exploring carnivorous plant habitats based on images from social media

Authors :
Blanco, Rafael
Salazar, Zujany
Isenberg, Tobias
Télécom SudParis (TSP)
Institut Polytechnique de Paris (IP Paris)
Analysis and Visualization (AVIZ)
Laboratoire de Recherche en Informatique (LRI)
Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source :
IEEE VIS 2019: IEEE Conference on Visualization, IEEE VIS 2019: IEEE Conference on Visualization, Oct 2019, Vancouver, Canada
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; We visualize species habitat distribution information based on geo-located images posted on social media. For the example of carnivorous plants, we use published image data to produce interactive maps of the spatial distribution of different species/genuses, histograms of the elevations at which they grow, and plots of the temporal distribution of the photographs. We further discuss the mismatch between our distribution maps and traditionally established maps as well as further possibilities for research with our data.

Details

Language :
English
Database :
OpenAIRE
Journal :
IEEE VIS 2019: IEEE Conference on Visualization, IEEE VIS 2019: IEEE Conference on Visualization, Oct 2019, Vancouver, Canada
Accession number :
edsair.dedup.wf.001..9a23bd319f4dc2a3b3c0b2560de425ac