| General |
tidyverse (Wickham, 2017) |
A suite of packages to import, wrangle, explore, and plot data. Includes the popular ggplot2 and dplyr packages. |
| Mapping, geospatial |
sf (Pebesma, 2018) |
A simple features architecture for working with vectorized spatial data, including common geospatial analysis functions |
|
raster (Hijmans, 2019) |
Reading, writing, manipulating, analyzing, and modeling gridded spatial data |
|
leaflet (Cheng, Karambelkar & Xie, 2018) |
Integration of R with the popular JavaScript leaflet library for interactive maps |
|
mapview (Appelhans et al., 2018) |
Creates interactive maps to quickly examine and visually investigate spatial data, built off leaflet and integrated with sf
|
| Statistical modeling |
randomForest (Liaw & Wiener, 2002) |
Create classification and regression trees for predictive modeling |
|
nlme (Pinheiro et al., 2018) |
Non-linear, mixed effects modeling |
|
mgcv (Wood, 2017) |
Generalized additive modeling |
| Community analysis |
TITAN2 (Baker, King & Kahle, 2015) |
Ecological community threshold analysis using indicator species scores |
|
indicspecies (De Caceres & Legendre, 2009) |
Indicator species analysis |
|
vegan (Oksanen et al., 2018) |
Multivariate analysis for community ecology |
| Science communication |
shiny (Chang et al., 2018) |
Reactive programming tools to create interactive and customizable web applications |
|
rmarkdown (Allaire et al., 2018) |
Tools for working with markdown markup languages in .Rmd files |
|
knitr (Xie, 2015) |
Automated tools for markdown files that process integrated R code chunks |
