/BirdSeasonalBeta

Code for my bird seasonal beta diversity paper

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Companion code for Bird seasonal beta-diversity in the contiguous United States.

Author : Charles A. Martin

Contact : charles.martin1@uqtr.ca

Affiliation : Université du Québec à Trois-Rivières

About

This repository contains all code necessary to reproduce the results from Bird seasonal beta-diversity in the contiguous United States, as published in Journal of Ornithology

Structure

All analysis code is in the scripts folder, along with the database preparation script (the latest database, as of the publication of the paper, is already in the data folder).

Necessary environment

The code provided was developed and tested under the following R environment :

> sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: macOS Sierra 10.12.4

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] grid      stats     graphics  grDevices utils     datasets  methods  
[8] base     

other attached packages:
 [1] maps_3.1.1      egg_0.1.0       gridExtra_2.2.1 modelr_0.1.0   
 [5] testthat_1.0.2  raster_2.5-8    sp_1.2-4        betapart_1.4-1 
 [9] vegan_2.4-2     lattice_0.20-34 permute_0.9-4   stringr_1.2.0  
[13] rebird_0.4.0    memoise_1.1.0   MuMIn_1.15.6    dplyr_0.5.0    
[17] purrr_0.2.2     readr_1.0.0     tidyr_0.6.1     tibble_1.2     
[21] ggplot2_2.2.1   tidyverse_1.1.1

loaded via a namespace (and not attached):
 [1] reshape2_1.4.2   haven_1.0.0      colorspace_1.3-2 geometry_0.3-6  
 [5] stats4_3.3.2     mgcv_1.8-17      foreign_0.8-67   DBI_0.5-1       
 [9] readxl_0.1.1     plyr_1.8.4       munsell_0.4.3    gtable_0.2.0    
[13] rvest_0.3.2      psych_1.6.12     labeling_0.3     forcats_0.2.0   
[17] magic_1.5-6      rcdd_1.1-13      parallel_3.3.2   broom_0.4.2     
[21] Rcpp_0.12.9      scales_0.4.1     jsonlite_1.3     picante_1.6-2   
[25] mnormt_1.5-5     hms_0.3          digest_0.6.12    stringi_1.1.2   
[29] rgdal_1.2-5      tools_3.3.2      magrittr_1.5     lazyeval_0.2.0  
[33] cluster_2.0.5    crayon_1.3.2     ape_4.1          MASS_7.3-45     
[37] Matrix_1.2-8     xml2_1.1.1       lubridate_1.6.0  assertthat_0.1  
[41] httr_1.2.1       R6_2.2.0         nlme_3.1-131    

Additional acknowledgements

As this paper was published as a short communication with a maximum of 15 references, it was not possible to ackowledge the quality of the R developers involved in the development and maintenance of all these wonderful packages with citations.

Nevertheless, without your dedicated work, none of this would have been possible.