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The GitHub repository for this project does not contain the output generated by the script—3.2 GB of compressed data. All output data is available as this Zenodo archive. The `vignettes/` directory contains all data generated by the `guedesbocinsky2018.Rmd` RMarkdown vignette: - `data/raw_data` contains data downloaded from web sources for this analysis - `data/derived_data/` contains tables of the raw site chronometric data without locational information, and the modeled chronometric probability and niche information for each site. - `data/derived_data/models/` contains R data objects describing the Kriging interpolation models across the study area - `data/derived_data/recons/` contains NetCDF format raster bricks of the model output (i.e., the reconstructed crop niches) - `figures/` contains all figures output by the script, including videos of how each crop niche changes over time - `figures/site_densities/` contains figures of the estimated chronometric probability density for each site in our database - `submission/` contains all of the figures, tables, movies, and supplemental datasets included with d’Alpoim Guedes and Bocinsky (2018)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 |

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