Shiny app to help identify pairwise species interactions occurrences in literature
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Updated
Jan 29, 2018 - R
Shiny app to help identify pairwise species interactions occurrences in literature
Brodie J.E., Helmy O., Mohd-Azlan J., Granados A., Bernard H., Giordano A., and Zipkin E.F. 2018. Models for assessing local-scale co-abundance of animal species while accounting for differential detectability and varied responses to the environment. Biotropica. 50: 5-15.
Repository of the article: A synthesis of animal-mediated seed dispersal of palms reveals distinct biogeographic differences in species interactions
Plant-Frugivore Interactions for South East Asia mined from published literature
Dataset of palm-frugivore seed dispersal interactions
Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Unmarked
My personal pipeline to species identification on camera trap pix using deep learning, detection/classification with MegaDetector and RetinaNet
Fit multivariate state-space autoregressive models in Jags
Species interactions of EU List of Concern Species
Supplementary information from Pacelhe et al. 2019 (Biotropica)
Supplementary data from Crestani et al. 2018 (Acta Oecologica)
Meet nestor, an R package for the variational inference of species interaction networks from abundance data, while accounting for missing actors.
Supplement to the paper Queiroz et al. (2020, Biotropica).
Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems
Kinetic Monte Carlo simulator for cross-feeding species growth
Host plant-aphid association data from M.E. Palmer's (1952) "Aphids of the Rocky Mountain Region"
Explicit Interaction Community Models
paper
A updatet code for the paper Bastazini et al. 2017
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