This repository contains all the scripts for the analysis and figures in Fredston-Hermann et al. 2020 Global Change Biology. Wherever external data must be used, the scripts contain instructions for obtaining the data. Please contact A. Fredston-Hermann (fredston@rutgers.edu) with any questions or for a PDF of the article, and cite the article if using the data or code.
As of May 2019, these scripts rely heavily on the development version of the sf package from r-spatial. This is because recently added functions, including st_crop and st_nearest_points, are extremely useful for our analysis, but not yet in CRAN. Users with older versions will need to install the development version of sf which can be a slightly tricky process (see issues on the Github page for that package). Once the CRAN version of sf is updated, this issue will be resolved.
Scripts should be run in the following order:
get_sst.Rclean_temp_data.Rget_trawl_data.Rclean_trawl_data.Rcoastline_length.Rcalculate_edges.Risotherms.Ranalyze_edges.R(contains all models of range edges)paper_stats.R(contains miscellaneous other statistics in the paper)
Once the scripts above have generated the requisite objects in processed-data, then any of the figure files can be run as desired. Scripts to generate figures can be found in neus-range-edges/figures; the figures will be written out to a directory called neus-range-edges/results. Users should create a neus-range-edges/results and a neus-range-edges/data folder; these are not version controlled due to the size of files involved.