EXPLICITLY ACCOUNTING FOR UNCERTAINTY IN CROWDSOURCED DATA FOR SPECIES DISTRIBUTION MODELLING
ISPRS annals of the photogrammetry, remote sensing and spatial information sciences II-3/W5: 333-337
Article 2015 English
Authors
DR
Duccio Rocchini
AC
Alexis Comber
CG
Carol X. Garzón‐López
Abstract
1 min read
. Species distribution models represent an important approach to map the spread of plant and animal species over space (and time). As all the statistical modelling techniques related to data from the field, they are prone to uncertainty. In this study we explicitly dealt with uncertainty deriving from field data sampling; in particular we propose i) methods to map sampling effort bias and ii) methods to map semantic bias.
Duccio Rocchini, Enrico Tordoni, Elisa Marchetto, Matteo Marcantonio, A. Márcia Barbosa, Manuele Bazzichetto, Carl Beierkuhnlein, Elisa Castelnuovo, Roberto Cazzolla Gatti, Alessandro Chiarucci, Ludovico Chieffallo, Daniele Da Re, Michele Di Musciano, Giles Foody, Lukáš Gábor, Carol X. Garzón‐López, Antoine Guisan, Tarek Hattab, Joaquín Hortal, William E. Kunin, Ferenc Jordán, Jonathan Lenoir, Silvia Mirri, Vítězslav Moudrý, Babak Naimi, Jakub Nowosad, Francesco Sabatini, Andreas Schweiger, Petra Šímová, Geiziane Tessarolo, Piero Zannini, Marco Malavasi
Duccio Rocchini, Carol X. Garzón‐López, Matteo Marcantonio, Valerio Amici, Giovanni Bacaro, Lucy Bastin, Neil Brummitt, Alessandro Chiarucci, Giles Foody, Heidi C. Hauffe, Kate S. He, Carlo Ricotta, Annapaola Rizzoli, Roberto Rosà
Duccio Rocchini, Michele Di Marcantonio, Giles Foody, Carol X. Garzón‐López, Kaiyan He, Igor Kühn, Mary Haywood Metz, Markus Neteler, Wendy C. Turner, Joaquín Hortal
Duccio Rocchini, Giles Foody, Harini Nagendra, Carlo Ricotta, Madhur Anand, Kate S. He, Valerio Amici, Birgit Kleinschmit, Michael Förster, Sebastian Schmidtlein, Hannes Feilhauer, Anne Ghisla, Markus Metz, Markus Neteler
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