Estimating species distributions from spatially biased citizen science data
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DOI: 10.1016/j.ecolmodel.2019.108927
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Cited by:
- Schartel, Tyler E. & Cao, Yong, 2024. "Background selection complexity influences Maxent predictive performance in freshwater systems," Ecological Modelling, Elsevier, vol. 488(C).
- Schaub, Sergei & Pfaff, Alexander & Bonev, Petyo, 2025. "Biodiversity and the Design of Result-based Payments: Evidence from Germany," Economics Working Paper Series 2502, University of St. Gallen, School of Economics and Political Science.
- Boyd, Robin J. & Bowler, Diana E. & Isaac, Nick J.B. & Pescott, Oliver L., 2024. "On the trade-off between accuracy and spatial resolution when estimating species occupancy from geographically biased samples," Ecological Modelling, Elsevier, vol. 493(C).
- Coppée, Thomas & Paquet, Jean-Yves & Titeux, Nicolas & Dufrêne, Marc, 2022. "Temporal transferability of species abundance models to study the changes of breeding bird species based on land cover changes," Ecological Modelling, Elsevier, vol. 473(C).
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Keywords
BirdTrack; Citizen science; Occupancy models; Preferential sampling; Spatial bias; Species distribution models;All these keywords.
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