digest, RJSONIO, grid, gtable (>= 0.1.1), MASS, plyr (>=
1.7.1), reshape2, scales (>= 0.4.1), stats, knitr (>= 1.5.33),
data.table (>= 1.9.8)
servr, gistr (>= 0.2), shiny, RColorBrewer, htmltools,
rmarkdown, testthat, devtools, httr, maps, ggplot2movies,
hexbin, Hmisc, lattice, mapproj, maptools, mgcv, nlme, rpart,
svglite, ggplot2

A Collection of ML Tools for Conservation Research
c(person(given="Kyra", family="Swanson",email="tswanson@sdzwa.org", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-1496-3217")),person(given="Mathias",family="Tobler",role = "aut"))
Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
pbapply, jpeg, keras, reticulate, tfdatasets, parallel, exifr,
av, data.table, dplyr, stats, imager
Kyra Swanson [aut, cre] (<https://orcid.org/0000-0002-1496-3217>),
Mathias Tobler [aut]

Animation of Multiple Trajectories with Uncertainty
c(person("Henry", "Scharf", email = "hscharf@sdsu.edu",
role = c("aut", "cre")),
person("Kristine", "Dinh",
role = c("aut")))
Animation of observed trajectories using spline-based interpolation (see for example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M. (2016), <doi:10.1111/2041-210X.12465> "A functional model for characterizing long-distance movement behaviour". Methods Ecol Evol). Intended to be used exploratory data analysis, and perhaps for preparation of presentations.
animation, RColorBrewer, scales, sp, raster, mgcv, grDevices,
ggmap, crawl, dplyr, ellipse, ggplot2, igraph, lubridate,
magrittr, stringr, tidyr, tidyselect
Henry Scharf [aut, cre],
Kristine Dinh [aut]

animation, knitr, RColorBrewer, scales, sp, rgdal

Animation of Observed Trajectories Using Spline-Based
Interpolation
animation, knitr, RColorBrewer, scales, sp, rgdal, mgcv,
grDevices

animation, knitr, RColorBrewer, scales, sp, rgdal, mgcv,
grDevices, ggmap